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Model - Comatozze Title - Truth or dare step sister lost this game #Comatozze #UmaNorth #NSFW #nsfwtwtًً #Onlyfans #UltraFilms #fitnesss #babeChudai VCS Wataa

Destroyed Heaven

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234,526 просмотров • 3 месяцев назад •via X (Twitter)

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🥁 Thrilled to announce our blockbuster partner：NatureSelect，An integrated technology company based in Asia, renowned for its groundbreaking product《EVE》—the world's first 3D AI-powered companion application. The first round of equity financing has been successfully completed, with participation from parent company Kingnet and other top-tier VCs. After a draining workday, do you crave a virtual companion like Samantha from movie《HER》? Learn about《EVE》’s core highlights： 🔴Ultra-Premium 3D Modeling：The 3D modeling effect is extremely delicate, whether it's the virtual human's hair, skin, clothing, or eye expressions. Bringing strong visual impact and realism to users. 🟠Natural Voice Conversations：EVE's self-developed VIBE model enables human-like dialogue capabilities, with real-time emotional recognition and adaptive response generation. 🟡Memory Capabilities：Powered by the proprietary memory model ECHO, EVE retains users' personalized information and preferences to deliver more thoughtful and tailored interactions. 🟢Emotional companionship: EVE aims to become emotional supporters for users, simulating real emotional reactions and companionship, making users feel understood and cared for. 🔵Multimodal Interaction：Beyond voice, EVE supports touchscreen and other interactive modes, allowing users to engage with their AI companion through diverse channels. 🟣Immersive Story Interaction：EVE enables users to participate in carefully crafted narratives, where they co-develop storylines with AI characters, creating uniquely engaging experiences. ⚫️Key metrics：EVE's debut PV surpassed 1.1 million views on Bilibili, with over 5 million app pre-registrations. This strategic partnership will create mutual value for both organizations： ✅Kingnet AI will integrate NatureSelect's virtual agent generation model to create more lifelike and dynamic digital agents ✅Kingnet AI will be responsible for generating materials such as plot, dialogue, and game scenes for interactive mini-games between players and EVE in the application ✅KingnetAI and NatureSelect will open up user UGC tools and trading markets which support $KNET, and purchase excellent creative materials for commercial development. High quality materials will have copyright notices. Ultimately, this collaboration truly signifies our fusion of Web2’s finest enterprises with the Web3 ecosystem. We are pioneering what no one has done before. "ICM" and "RWA" go far beyond mere tokenize. By redefining product-business models and bridging traditional consumer markets, this marks the first step in our groundbreaking vision.

🥁 Thrilled to announce our blockbuster partner：NatureSelect，An integrated technology company based in Asia, renowned for its groundbreaking product《EVE》—the world's first 3D AI-powered companion application. The first round of equity financing has been successfully completed, with participation from parent company Kingnet and other top-tier VCs. After a draining workday, do you crave a virtual companion like Samantha from movie《HER》? Learn about《EVE》’s core highlights： 🔴Ultra-Premium 3D Modeling：The 3D modeling effect is extremely delicate, whether it's the virtual human's hair, skin, clothing, or eye expressions. Bringing strong visual impact and realism to users. 🟠Natural Voice Conversations：EVE's self-developed VIBE model enables human-like dialogue capabilities, with real-time emotional recognition and adaptive response generation. 🟡Memory Capabilities：Powered by the proprietary memory model ECHO, EVE retains users' personalized information and preferences to deliver more thoughtful and tailored interactions. 🟢Emotional companionship: EVE aims to become emotional supporters for users, simulating real emotional reactions and companionship, making users feel understood and cared for. 🔵Multimodal Interaction：Beyond voice, EVE supports touchscreen and other interactive modes, allowing users to engage with their AI companion through diverse channels. 🟣Immersive Story Interaction：EVE enables users to participate in carefully crafted narratives, where they co-develop storylines with AI characters, creating uniquely engaging experiences. ⚫️Key metrics：EVE's debut PV surpassed 1.1 million views on Bilibili, with over 5 million app pre-registrations. This strategic partnership will create mutual value for both organizations： ✅Kingnet AI will integrate NatureSelect's virtual agent generation model to create more lifelike and dynamic digital agents ✅Kingnet AI will be responsible for generating materials such as plot, dialogue, and game scenes for interactive mini-games between players and EVE in the application ✅KingnetAI and NatureSelect will open up user UGC tools and trading markets which support $KNET, and purchase excellent creative materials for commercial development. High quality materials will have copyright notices. Ultimately, this collaboration truly signifies our fusion of Web2’s finest enterprises with the Web3 ecosystem. We are pioneering what no one has done before. "ICM" and "RWA" go far beyond mere tokenize. By redefining product-business models and bridging traditional consumer markets, this marks the first step in our groundbreaking vision.

Kingnet AI

45,189 просмотров • 1 год назад

🔥NEUROSURGEON DR. JACK KRUSE JUST DROPPED THE REAL REASON MODERN MEDICINE FAILS A history lesson of centralized medicine. “I grew up in medicine taught that it was always biochemistry versus biophysics. When you finish residency, go out and actually treat people… and it doesn’t work… you have two choices: fall in line, or start questioning everything you were taught. I’m that guy.” He didn’t stop at the Flexner Report, the 1910 land-grab that captured his entire profession and locked medicine into the biochemical model while sidelining biophysics. He went all the way back. Queen Victoria (1837). Saxe-Coburg-Gotha. The royal family that gave Europe hemophilia and helped spark World War I. After the war they quietly changed their name to Windsor because German heritage was suddenly inconvenient. The original Fabians, still loyal to the Crown but operating as “Americans”, were the Dulles brothers. Allen Dulles helped write the terms of the Treaty of Versailles with Keynes. That same line runs straight through the Weimar Republic, World War II, and the rise of the Rothschild-Rockefeller alliance around 1930–1933. Two Fabian forces, now fused in banking and financialization. The Rockefellers took the biochemical model, expanded Big Pharma, then moved into biotechnology in the 1940s–50s. They figured out how to deuterate the American water table and food supply using competitive inhibitors of melanin. They changed the food so they could sell us the drugs to treat the diseases they created. That’s why American food is still radically different from European food today. And right now, through the same Fabian method, small, incremental changes they’re trying to get those same chemicals into Europe so they can bankrupt your healthcare system the same way they bankrupted ours. The symbol is still hanging in the London School of Economics: a wolf in sheep’s clothing. That is the entire modus operandi of Fabianism. Infiltrate. Permeate. Remold the world nearer to their heart’s desire through tiny steps no one notices until it’s too late. They lost the loyal title to America in 1776. They lost it again in Russia after the Bolsheviks killed the Czar (not part of the original plan). So they keep starting wars and running financialization operations to try to get those titles back. This is the system. This is why medicine became a profit center instead of a healing art. This is why your food makes you sick. This is why they need you dependent, medicated, and broke. The neurosurgeon saw it in the operating room. This should be taught in every school. Copy this. Share this. Translate this. The transcript is the map. Stay awake. Question everything. The truth is leaking out faster than they can contain it. 🔥 ☣️ Pleb Kruse = BTC foundationalist in exile 🟩🔆

🔥NEUROSURGEON DR. JACK KRUSE JUST DROPPED THE REAL REASON MODERN MEDICINE FAILS A history lesson of centralized medicine. “I grew up in medicine taught that it was always biochemistry versus biophysics. When you finish residency, go out and actually treat people… and it doesn’t work… you have two choices: fall in line, or start questioning everything you were taught. I’m that guy.” He didn’t stop at the Flexner Report, the 1910 land-grab that captured his entire profession and locked medicine into the biochemical model while sidelining biophysics. He went all the way back. Queen Victoria (1837). Saxe-Coburg-Gotha. The royal family that gave Europe hemophilia and helped spark World War I. After the war they quietly changed their name to Windsor because German heritage was suddenly inconvenient. The original Fabians, still loyal to the Crown but operating as “Americans”, were the Dulles brothers. Allen Dulles helped write the terms of the Treaty of Versailles with Keynes. That same line runs straight through the Weimar Republic, World War II, and the rise of the Rothschild-Rockefeller alliance around 1930–1933. Two Fabian forces, now fused in banking and financialization. The Rockefellers took the biochemical model, expanded Big Pharma, then moved into biotechnology in the 1940s–50s. They figured out how to deuterate the American water table and food supply using competitive inhibitors of melanin. They changed the food so they could sell us the drugs to treat the diseases they created. That’s why American food is still radically different from European food today. And right now, through the same Fabian method, small, incremental changes they’re trying to get those same chemicals into Europe so they can bankrupt your healthcare system the same way they bankrupted ours. The symbol is still hanging in the London School of Economics: a wolf in sheep’s clothing. That is the entire modus operandi of Fabianism. Infiltrate. Permeate. Remold the world nearer to their heart’s desire through tiny steps no one notices until it’s too late. They lost the loyal title to America in 1776. They lost it again in Russia after the Bolsheviks killed the Czar (not part of the original plan). So they keep starting wars and running financialization operations to try to get those titles back. This is the system. This is why medicine became a profit center instead of a healing art. This is why your food makes you sick. This is why they need you dependent, medicated, and broke. The neurosurgeon saw it in the operating room. This should be taught in every school. Copy this. Share this. Translate this. The transcript is the map. Stay awake. Question everything. The truth is leaking out faster than they can contain it. 🔥 ☣️ Pleb Kruse = BTC foundationalist in exile 🟩🔆

Kenny Carmody

28,491 просмотров • 8 дней назад

$MMTLP It's true. According to FOIA records, the SEC under Gary Gensler spent close to $100,000 to produce this satirical video that degraded and mocked household investors. Members of the investing public saw real opportunities based on future company potential or hard data showing shares shorted far beyond the actual float issued. And the SEC had the nerve to paint out hardworking people who saw opportunity as reckless gamblers on a game show, all while downplaying or ignoring the role of institutional short selling, naked shorts, and excessive borrowing that often drove these squeezes. There is NOTHING wrong with making an investment based on speculative value, especially if backed by the belief in the underlying company. But the SEC chose to attack hardworking people for doing just that. Then, they deleted the video. So 100k of taxpayer money went down the drain. This same pattern of regulatory bias echoes loudly in the MMTLP situation. Over 65,000 investors piled into MMTLP based on expert analysis, due diligence reports, and public information suggesting the stock had been massively oversold, fueling beliefs in a legitimate "squeeze" setup similar to other retail-driven plays. Investors were led to believe they had until December 12, 2022 to hold or sell shares before the assets behind the security were to be spun out to a new, private company (Next Bridge Hydrocarbons), and the MMTLP shares would be cancelled and exchanged. Public statements, including from OTC Markets representatives like Jeff Mendl on December 7, reinforced that trading would continue through the close on the 12th. Yet FINRA imposed a sudden U3 halt on December 9, 2022, before any reconciliation or final trading window could occur... But they didn't count on investors fighting back. Retail holders have relentlessly demanded transparency, filed complaints, launched a massive social media campaign, pushed for congressional inquiries, and exposed inconsistencies in regulatory actions... from the halt timing to questions about short positions, settlement failures, and Gary Genslers alleged "lost communications". And every single step of the way, the regulators have REFUSED to provide even the most basic transparency to the public. Funny... the further this fight goes, the more it seems the SEC and FINRA are the ones left with pie on their face. Isn't that ironic? Don't ya think? Transparency now. Truth matters. Monetary resolution first, then criminal charges later. We're still here.

$MMTLP It's true. According to FOIA records, the SEC under Gary Gensler spent close to $100,000 to produce this satirical video that degraded and mocked household investors. Members of the investing public saw real opportunities based on future company potential or hard data showing shares shorted far beyond the actual float issued. And the SEC had the nerve to paint out hardworking people who saw opportunity as reckless gamblers on a game show, all while downplaying or ignoring the role of institutional short selling, naked shorts, and excessive borrowing that often drove these squeezes. There is NOTHING wrong with making an investment based on speculative value, especially if backed by the belief in the underlying company. But the SEC chose to attack hardworking people for doing just that. Then, they deleted the video. So 100k of taxpayer money went down the drain. This same pattern of regulatory bias echoes loudly in the MMTLP situation. Over 65,000 investors piled into MMTLP based on expert analysis, due diligence reports, and public information suggesting the stock had been massively oversold, fueling beliefs in a legitimate "squeeze" setup similar to other retail-driven plays. Investors were led to believe they had until December 12, 2022 to hold or sell shares before the assets behind the security were to be spun out to a new, private company (Next Bridge Hydrocarbons), and the MMTLP shares would be cancelled and exchanged. Public statements, including from OTC Markets representatives like Jeff Mendl on December 7, reinforced that trading would continue through the close on the 12th. Yet FINRA imposed a sudden U3 halt on December 9, 2022, before any reconciliation or final trading window could occur... But they didn't count on investors fighting back. Retail holders have relentlessly demanded transparency, filed complaints, launched a massive social media campaign, pushed for congressional inquiries, and exposed inconsistencies in regulatory actions... from the halt timing to questions about short positions, settlement failures, and Gary Genslers alleged "lost communications". And every single step of the way, the regulators have REFUSED to provide even the most basic transparency to the public. Funny... the further this fight goes, the more it seems the SEC and FINRA are the ones left with pie on their face. Isn't that ironic? Don't ya think? Transparency now. Truth matters. Monetary resolution first, then criminal charges later. We're still here.

DrewDiligence

13,817 просмотров • 5 месяцев назад

.Chamath Palihapitiya says Palantir CEO Alex Karp “deserves a medal” for being “on the right side of history” and one of the only AI leaders speaking the truth: “You can look at a graph of the financing needs of these companies and pinpoint when they oscillate between 2 messages.” “1. We’ve created a super god and the VCs are like lemmings and need to be on the right side of the super god.” “2. This is a complete weapon, let’s shut the world down and regulate everything.” “The problem is, at a trillion dollar market cap, that game has ripple effects that touch everybody in the industry.” “What Alex Karp did—he deserves a medal.” “This is an incredible human being that had the courage to come here, everybody watched that clip, all these S&P500 CEOs called me after that clip asking, ‘Help me interpret this.’” “I’ll tell you—he was on the right side of history.” “What he’s showing you is—you need to have a much more predictable way of running your business. Because if you’re bending to the vicissitudes of private company funding cycles, or their desire to need to live up to trillion-dollar valuations, you’re taking a level of risk you didn’t know you were taking.” “The LLMs do a very good job at a superficial form of privacy called ‘Zero Data Retention or ZDR.’” “They say, ‘Enable this and everything is hunky dory.’” “When you look at the fine print, if he uploads the secret formula for KFC into the model, that part is ZDR’d. But if he just clicks the like button, is there any guarantee that info is not stored? The honest answer technically, is no, because we don’t know how to do that.” “When Alex came on… at no point did Anthropic say, ‘He’s got it totally wrong, here’s the exact technical details, there’s nothing to see here.’” “I thought to myself, why wouldn’t you, the minute after that clip started to go viral, be completely specific and repudiate the claim.” “The reason, we all know, is because it’s the true version.” Via CNBC

.Chamath Palihapitiya says Palantir CEO Alex Karp “deserves a medal” for being “on the right side of history” and one of the only AI leaders speaking the truth: “You can look at a graph of the financing needs of these companies and pinpoint when they oscillate between 2 messages.” “1. We’ve created a super god and the VCs are like lemmings and need to be on the right side of the super god.” “2. This is a complete weapon, let’s shut the world down and regulate everything.” “The problem is, at a trillion dollar market cap, that game has ripple effects that touch everybody in the industry.” “What Alex Karp did—he deserves a medal.” “This is an incredible human being that had the courage to come here, everybody watched that clip, all these S&P500 CEOs called me after that clip asking, ‘Help me interpret this.’” “I’ll tell you—he was on the right side of history.” “What he’s showing you is—you need to have a much more predictable way of running your business. Because if you’re bending to the vicissitudes of private company funding cycles, or their desire to need to live up to trillion-dollar valuations, you’re taking a level of risk you didn’t know you were taking.” “The LLMs do a very good job at a superficial form of privacy called ‘Zero Data Retention or ZDR.’” “They say, ‘Enable this and everything is hunky dory.’” “When you look at the fine print, if he uploads the secret formula for KFC into the model, that part is ZDR’d. But if he just clicks the like button, is there any guarantee that info is not stored? The honest answer technically, is no, because we don’t know how to do that.” “When Alex came on… at no point did Anthropic say, ‘He’s got it totally wrong, here’s the exact technical details, there’s nothing to see here.’” “I thought to myself, why wouldn’t you, the minute after that clip started to go viral, be completely specific and repudiate the claim.” “The reason, we all know, is because it’s the true version.” Via CNBC

Jawwwn

266,351 просмотров • 2 дней назад

I guess this post will be unpopular on both sides, but hey. I came here to tell the truth, and say "I told you so" ten years down the line. New York is NOT about to find out. Not yet. Because CAIR, the Muslim Brotherhood, Qatar... all those djihadi World Caliphate people , New York is NOT their end game. Ruling the United States is. Now they've got Minneapolis, Dearborn, ... and 2028 on their plate and in their plans. They'll invest in showing you how good they are for a few years. Oh, it won't be perfect. The water will begin to heat up.... but slowly. Slowly you'll see more visibly Muslim cops and City officials...or you won't see them because they'll keep Takya for a few years more. He won't even DREAM of defunding the police. He'll infiltrate it, and then he'll have his own militia. Suddenly Mahmoud Khalil will be persona grata at official event. Slowly you, the Great American Public, will start to feel a very subtle but very real threat in the air. Slowly receiving building permits, or business approvals, WILL be conditioned on your skin color or religious affiliation. Slowly, insidiously, the men in robes or in socks and flip flops will own the sidewalk, and you'll have to step aside. You don't understand me now, but believe me, you will. At the beginning many "liberals" will rejoice over the victory of the downtrodden, until, far far down the road, they understand they're becoming the downtrodden but the new rulers aren't interested in DEI. Only in power. It'll take time, but it'll happen. Mamdani, or his comrade from CAIR, because Mamdani is only a soldier in a very very disciplined army funded by Qatar and directed by the same imams who were behind 9/11 and October7Massacre, are now aiming for President Donald J. Trump. You've lost the battle of New York, America. The war will be much harder. Linda Saarsur, the djihadi antifa who called on Muslims in America to wage jihad on Trump (yeah, that's incitement to murder) is Mamdani's mentor. She organized the Womens March OPENLY Advocating for SHARIA LAW in US, and said that after the election, people will understand how Muslim money won the election -she only lies and saysitwas money from grassroots activism. No. It comes from Iran and Qatar. For once, I agree with her. Question is, how long will it take.

I guess this post will be unpopular on both sides, but hey. I came here to tell the truth, and say "I told you so" ten years down the line. New York is NOT about to find out. Not yet. Because CAIR, the Muslim Brotherhood, Qatar... all those djihadi World Caliphate people , New York is NOT their end game. Ruling the United States is. Now they've got Minneapolis, Dearborn, ... and 2028 on their plate and in their plans. They'll invest in showing you how good they are for a few years. Oh, it won't be perfect. The water will begin to heat up.... but slowly. Slowly you'll see more visibly Muslim cops and City officials...or you won't see them because they'll keep Takya for a few years more. He won't even DREAM of defunding the police. He'll infiltrate it, and then he'll have his own militia. Suddenly Mahmoud Khalil will be persona grata at official event. Slowly you, the Great American Public, will start to feel a very subtle but very real threat in the air. Slowly receiving building permits, or business approvals, WILL be conditioned on your skin color or religious affiliation. Slowly, insidiously, the men in robes or in socks and flip flops will own the sidewalk, and you'll have to step aside. You don't understand me now, but believe me, you will. At the beginning many "liberals" will rejoice over the victory of the downtrodden, until, far far down the road, they understand they're becoming the downtrodden but the new rulers aren't interested in DEI. Only in power. It'll take time, but it'll happen. Mamdani, or his comrade from CAIR, because Mamdani is only a soldier in a very very disciplined army funded by Qatar and directed by the same imams who were behind 9/11 and October7Massacre, are now aiming for President Donald J. Trump. You've lost the battle of New York, America. The war will be much harder. Linda Saarsur, the djihadi antifa who called on Muslims in America to wage jihad on Trump (yeah, that's incitement to murder) is Mamdani's mentor. She organized the Womens March OPENLY Advocating for SHARIA LAW in US, and said that after the election, people will understand how Muslim money won the election -she only lies and saysitwas money from grassroots activism. No. It comes from Iran and Qatar. For once, I agree with her. Question is, how long will it take.

An Israeli mother

269,364 просмотров • 8 месяцев назад

Markets that trade below the 21SMA or 50SMA are inherently choppy, with gaps in either direction expected day to day. If we do get more large gap downs over the coming weeks, here are some guidelines to live by (especially if you have exposure on): — Gap downs are rare in strong stocks with solid setups, but they do happen. And here's the truth: They're the market's way of telling you your original trading thesis was wrong. — The real damage of gap downs isn't just to your account — it's what they do to your head. They trigger: → Anger ("This market is rigged!") → Revenge trading ("I'll make it back today!") → Frozen decision-making ("Maybe it'll bounce back?") All three lead to even BIGGER losses. — But here's how top level traders handle gap downs (which you can easily implement): They know their numbers. ∙Exactly how much $ they lost ∙What % of their portfolio it represents ∙How many winning trades it'll take to recover Emotions cloud judgment. Numbers bring clarity. Pro traders think in terms of "R-multiples" — how many times their initial risk they've won or lost. If you risked $500 (1R) and lose $1,500 on a gap down, that's -3R. Sounds bad, but if you're up +20R on the year, you can put that -3R in perspective. — NEVER rationalize after a gap down: ❌ "It's just a market overreaction" ❌ "The news wasn't that bad" ❌ "It'll probably bounce back today" These thoughts feel good in the moment but lead to much bigger losses. Cut the position and move on. — Think like a US Investing Champ. They get caught in downside gaps from time to time too. The difference? They know it's part of the game. They have a system to manage risk and recover: ∙They exit the position ∙They know their numbers ∙They trust their strategy over time — Next time you face a gap down: 1) Exit the position without hesitation 2) Calculate the exact impact on your portfolio 3) Step away from trading for the day 4) Return tomorrow with a clear head Protect your capital AND your confidence. 🦁

Markets that trade below the 21SMA or 50SMA are inherently choppy, with gaps in either direction expected day to day. If we do get more large gap downs over the coming weeks, here are some guidelines to live by (especially if you have exposure on): — Gap downs are rare in strong stocks with solid setups, but they do happen. And here's the truth: They're the market's way of telling you your original trading thesis was wrong. — The real damage of gap downs isn't just to your account — it's what they do to your head. They trigger: → Anger ("This market is rigged!") → Revenge trading ("I'll make it back today!") → Frozen decision-making ("Maybe it'll bounce back?") All three lead to even BIGGER losses. — But here's how top level traders handle gap downs (which you can easily implement): They know their numbers. ∙Exactly how much $ they lost ∙What % of their portfolio it represents ∙How many winning trades it'll take to recover Emotions cloud judgment. Numbers bring clarity. Pro traders think in terms of "R-multiples" — how many times their initial risk they've won or lost. If you risked $500 (1R) and lose $1,500 on a gap down, that's -3R. Sounds bad, but if you're up +20R on the year, you can put that -3R in perspective. — NEVER rationalize after a gap down: ❌ "It's just a market overreaction" ❌ "The news wasn't that bad" ❌ "It'll probably bounce back today" These thoughts feel good in the moment but lead to much bigger losses. Cut the position and move on. — Think like a US Investing Champ. They get caught in downside gaps from time to time too. The difference? They know it's part of the game. They have a system to manage risk and recover: ∙They exit the position ∙They know their numbers ∙They trust their strategy over time — Next time you face a gap down: 1) Exit the position without hesitation 2) Calculate the exact impact on your portfolio 3) Step away from trading for the day 4) Return tomorrow with a clear head Protect your capital AND your confidence. 🦁

TraderLion

20,584 просмотров • 1 год назад

$🚨EXPOSED: Candace Owens FIRES BACK At Tim Pool's DOXXING RAGE – Exposes His $100K GAMBLING ADDICTION, DEBT CRISIS, & SHOCKING SPOUSAL ABUSE Allegations 🚨 If you've seen my last post on Tim Pool's meltdown , just wait till you hear Candace's response. She went FULL NUCLEAR on her podcast today, dissecting his estrogen-fueled tirade like a surgeon. Tim's not "braving the wilderness" – he's a tiny little, broke, bitter fence-sitter auditioning for AIPAC's $7K shill club. Key bombshells from Candace Owens: 🔥 The Doxxing Backfire: Tim brags about spying on her house ("four-foot wall, one fat guy") to "prove" she has no security – while ignoring her KIDS are home. Bro, that's not tough; that's targeting a family under a Macron hit order. Candace: "Men who speak to women like that aren't tough guys. That's estrogen. He wouldn't DARE say it to a real man." 🔥 Debt Demon Exposed: Tim's crashing out because he's drowning in cash problems. Auditioning for Zionist paychecks to bail him out – and he'll take 'em, just like the rest. Candace: "I hope it makes you happy, Tim... but to do THAT to someone who's never attacked you? Coward." 🔥 Gambling Addict Alert: Blew $100K on poker at Hollywood Casino, lost it all, dug the hole deeper. Now he's lashing out like the guy who comes home broke and takes it out on his family. 🔥 The Gut-Punch Allegation: Candace leveled the heaviest charge yet – Tim BEATS HIS WIFE. "A person in financial ruin who loses $100K, comes home, and beats his wife & kids, thinking he's a tough guy. That's YOU right now." If true (and Candace says she has every reason to believe it), Tim's not just trash – he's a COWARD. Beating a woman? That's lower than dirt. Worse than murder or r*pe in the eyes of decent men. I DARE you, Tim: Step to a REAL one. Candace nailed it: Attacking her is the SAFEST play in conservative media right now. It's not bravery – it's bandwagoning. "What's next, Tim? Call Kanye antisemitic? Trump evil in 2016? So original." He's theatrical, weak, and small – a Timothy Smollett pretending victims every year for clicks. This feuding? It's fracturing us while the REAL killers (TPUSA snakes, Deep State ops) laugh. Tim's not protecting Charlie's legacy – he's burying it to save his wallet. Tim Pool: Apologize. Get help. Or fade into irrelevance. The truth movement doesn't need rage addicts – we need warriors. Who's boycotting Tim Pool for good? RT if you're Team Candace & Charlie. Tag YouTube TeamYouTube – DEMAND they yank his platform for doxxing & incitement. Protect Candace. Expose the cowards. Justice for Charlie. FOLLOW Candace Owens and go watch her FULL Episode now, link in the comments. The shall fall – the real ones rise. 💪🇺🇸$

🚨EXPOSED: Candace Owens FIRES BACK At Tim Pool's DOXXING RAGE – Exposes His $100K GAMBLING ADDICTION, DEBT CRISIS, & SHOCKING SPOUSAL ABUSE Allegations 🚨 If you've seen my last post on Tim Pool's meltdown , just wait till you hear Candace's response. She went FULL NUCLEAR on her podcast today, dissecting his estrogen-fueled tirade like a surgeon. Tim's not "braving the wilderness" – he's a tiny little, broke, bitter fence-sitter auditioning for AIPAC's $7K shill club. Key bombshells from Candace Owens: 🔥 The Doxxing Backfire: Tim brags about spying on her house ("four-foot wall, one fat guy") to "prove" she has no security – while ignoring her KIDS are home. Bro, that's not tough; that's targeting a family under a Macron hit order. Candace: "Men who speak to women like that aren't tough guys. That's estrogen. He wouldn't DARE say it to a real man." 🔥 Debt Demon Exposed: Tim's crashing out because he's drowning in cash problems. Auditioning for Zionist paychecks to bail him out – and he'll take 'em, just like the rest. Candace: "I hope it makes you happy, Tim... but to do THAT to someone who's never attacked you? Coward." 🔥 Gambling Addict Alert: Blew $100K on poker at Hollywood Casino, lost it all, dug the hole deeper. Now he's lashing out like the guy who comes home broke and takes it out on his family. 🔥 The Gut-Punch Allegation: Candace leveled the heaviest charge yet – Tim BEATS HIS WIFE. "A person in financial ruin who loses $100K, comes home, and beats his wife & kids, thinking he's a tough guy. That's YOU right now." If true (and Candace says she has every reason to believe it), Tim's not just trash – he's a COWARD. Beating a woman? That's lower than dirt. Worse than murder or r*pe in the eyes of decent men. I DARE you, Tim: Step to a REAL one. Candace nailed it: Attacking her is the SAFEST play in conservative media right now. It's not bravery – it's bandwagoning. "What's next, Tim? Call Kanye antisemitic? Trump evil in 2016? So original." He's theatrical, weak, and small – a Timothy Smollett pretending victims every year for clicks. This feuding? It's fracturing us while the REAL killers (TPUSA snakes, Deep State ops) laugh. Tim's not protecting Charlie's legacy – he's burying it to save his wallet. Tim Pool: Apologize. Get help. Or fade into irrelevance. The truth movement doesn't need rage addicts – we need warriors. Who's boycotting Tim Pool for good? RT if you're Team Candace & Charlie. Tag YouTube TeamYouTube – DEMAND they yank his platform for doxxing & incitement. Protect Candace. Expose the cowards. Justice for Charlie. FOLLOW Candace Owens and go watch her FULL Episode now, link in the comments. The shall fall – the real ones rise. 💪🇺🇸

Project Constitution

112,879 просмотров • 7 месяцев назад

Kobe Bryant cold-called Jony Ive, Oprah, and Nike's CEO to learn how they think: "I just cold-call people. Absolutely. I just cold-call people and pick their brain about stuff. Some of the questions I'll ask will seem really, really simple and stupid, quite honestly, for them. But if I don't know, I don't know. I have to ask. I want to learn more about how they build their business, how they run their companies, how they see the world." On who he calls: "We could start in the Nike family. I cold-call Mark Parker all the time. Johnny Ive. Dan Wieden. Oprah Winfrey. Arianna Huffington. Hillary Swank. It just goes on and on and on." Kobe explains why he called Jony Ive: "He's obviously unique in what he does. I want to know how does he view product? How does he view the process of designing product? How does he know when he has the product exactly where he wants it to be? How is he seeing the world differently than everybody else who's manufacturing hardware? There's something going on from the moment he sees something to when it goes into his brain, that's a different process than other designers. I'm curious to know what that is." Kobe visited Apple to learn: "I spent the day there, talking with Johnny, picking his brain about product. What makes them who they are? And why? Once you have the passion the thing that you're passionate about, now you can look at other people, other entities, works of art, and draw things from that to help you be better at what you do. By looking for those common denominators." Jony Ive asked Kobe the same questions in return: "Johnny wanted to know, how do I prepare? How do I study? How do I view the game? How do you build your game? My response is much like the way he builds products. You think sequentially. You look at the end result of what you want to create. But in order to create that, there are so many little things that go into this massive entity or device." Kobe continues: "It's no different than building my basketball game. You start with: where do you want your game to be? What would make your game most unstoppable or hard to deal with? Now you work backwards from there. You start building it one piece at a time. One move at a time. One counter at a time. There's a lot of similarities." On building his company, Kobe Inc: "We're just cranking away every day, building out the internal structure. Communicating the culture internally. Where are we going? Building out that model, that plan. We also don't want to get too far ahead of ourselves. I have this vision of where I'd like us to go, but it's important for us to go one step at a time." On what he'd tell other athletes about marketing: "For me, doing that, it seems like I should really just do it for free. Because what I'm going to tell them is: be yourself. That's it. Be you. There's no gimmick. You don't have to contrive anything. Who are you? Where are you today? What is your story? Where does that come from? Then all you're doing is communicating that story to the public." Kobe reflects on LeBron going back to Cleveland: "It depends how you shape the story. You stay in Miami, there's a great story you can mold around that. You go to Cleveland, there's a way you can mold that too. It really just depends on what his personal truth is. I think he communicated his truth extremely well, and that's what you have to stick to."

Kobe Bryant cold-called Jony Ive, Oprah, and Nike's CEO to learn how they think: "I just cold-call people. Absolutely. I just cold-call people and pick their brain about stuff. Some of the questions I'll ask will seem really, really simple and stupid, quite honestly, for them. But if I don't know, I don't know. I have to ask. I want to learn more about how they build their business, how they run their companies, how they see the world." On who he calls: "We could start in the Nike family. I cold-call Mark Parker all the time. Johnny Ive. Dan Wieden. Oprah Winfrey. Arianna Huffington. Hillary Swank. It just goes on and on and on." Kobe explains why he called Jony Ive: "He's obviously unique in what he does. I want to know how does he view product? How does he view the process of designing product? How does he know when he has the product exactly where he wants it to be? How is he seeing the world differently than everybody else who's manufacturing hardware? There's something going on from the moment he sees something to when it goes into his brain, that's a different process than other designers. I'm curious to know what that is." Kobe visited Apple to learn: "I spent the day there, talking with Johnny, picking his brain about product. What makes them who they are? And why? Once you have the passion the thing that you're passionate about, now you can look at other people, other entities, works of art, and draw things from that to help you be better at what you do. By looking for those common denominators." Jony Ive asked Kobe the same questions in return: "Johnny wanted to know, how do I prepare? How do I study? How do I view the game? How do you build your game? My response is much like the way he builds products. You think sequentially. You look at the end result of what you want to create. But in order to create that, there are so many little things that go into this massive entity or device." Kobe continues: "It's no different than building my basketball game. You start with: where do you want your game to be? What would make your game most unstoppable or hard to deal with? Now you work backwards from there. You start building it one piece at a time. One move at a time. One counter at a time. There's a lot of similarities." On building his company, Kobe Inc: "We're just cranking away every day, building out the internal structure. Communicating the culture internally. Where are we going? Building out that model, that plan. We also don't want to get too far ahead of ourselves. I have this vision of where I'd like us to go, but it's important for us to go one step at a time." On what he'd tell other athletes about marketing: "For me, doing that, it seems like I should really just do it for free. Because what I'm going to tell them is: be yourself. That's it. Be you. There's no gimmick. You don't have to contrive anything. Who are you? Where are you today? What is your story? Where does that come from? Then all you're doing is communicating that story to the public." Kobe reflects on LeBron going back to Cleveland: "It depends how you shape the story. You stay in Miami, there's a great story you can mold around that. You go to Cleveland, there's a way you can mold that too. It really just depends on what his personal truth is. I think he communicated his truth extremely well, and that's what you have to stick to."

Jaynit

144,192 просмотров • 3 месяцев назад

I was asked to write a bio of myself on SportsRecruits. I wanted share what I wrote. I love this one and those in it. • • • OLYMPIC DREAMS. I was 12 years old when I lost my starting position at shortstop, and lost my way into the batting lineup as well. I know it sounds silly being at such a young age, but to me; at the time, it was devastating. If not for my faith in God and my family… I’m not sure if I would be here writing this bio of mine. Hello! My name is Grace Varua. I am 16 years old and currently a sophomore at Pope John High School in Sparta, NJ. I started playing softball when I was 7 years old (video) When I am not playing High School softball Pope John Softball I play for Unity Torres 2028 primarily as a catcher and 3B as my secondary. MY hopes; after you have read, is to feel who I am through this quick bio of myself. Hence, the reason why I started this bio the way I did. A quick backdrop to my story. When this all happened at 12 years old, I wasn’t quite sure how to handle it. I was broken. My parents made it super simple for me. My choices were to quit or get back to work and prove to myself and to “the world” that my story was not finished. My parents have also taught me, that having goals or being goal oriented is super important. Goals give us a sense of purpose or meaning while we sweat and work hard. Goals gives myself an opportunity to plan and stay organized. Most importantly, goals gives myself perspective in paying respect to the time and effort given to me by my coaches, players of my team and parents. Goals keep me disciplined to fight through when I’m tired and all I want to do is rest and pack it in. So I picked a goal that I felt would represent the pinnacle of my sport. That being, to be a member of USA’s Women’s Olympic National Team. USA Softball Women's National Team 🇺🇸 Some may say a far-fetched goal, but I think otherwise. I was taught the philosophy of the 100 hour rule. Roughly 18 minutes a day training for 1 year. Gives myself the opportunity to outperform 95% of the population in my craft. Whether that stands true or not. This philosophy is more about staying disciplined. I can humbly and honestly say, I exceed that 18 minutes and then-some for the reason of hoping to represent my country one day. I’ve been able to catch some of the best youth pitchers in the game of club softball right now. Like Sydney Gonglik (LSU committ) Madelyn Vogan (Penn State committ) Mackenzie Herzog 2028 (Alabama Thunderbolts Premier ‘27) Future big time pitchers Lucy Reis 2029 and Lila Manfredonia 2028 (Ohio Outlaws Wolff/Acord ‘28) Anna Jane (AJ) Jarzab (Beverly Bandits ‘09 Lewis/ Moran) Liv Cilli (Providence Committ), Reese Tobey (UMass committ) and all my current pitchers on UNITY Torres ‘28 Joselyn Bermudez, Adrianna Bryce ,Maddie Falvey 2028 , Gabby Gomez Gabby Perez and OliviaMVidela2028 It has been a blessing to work side by side with all of them. I am the catcher today because of them, my coaches and trainers. I am so thankful to each and every one of them. I have achieved and experienced some awesome things at my age. I made my High School Varsity team as a freshman, was a freshman 1st team All-Conference player, I hit back to back home-runs to help Pope John get to, and win our NJ County Championship in 2025. I am a 4x USA HPP (High Performance Program) invite, USA Softball’s 15U Top Performer and 15U National Team Member. I traveled, played and trained overseas in Paris and the Netherlands. I have a 3.9 G.P.A, I have an amazing older sister and younger brother. I have the best parents in the world and I have GOD with me each and every step of the way through this journey! I am blessed and so grateful! This is who I am. ꜱᴄᴀɴʟᴀɴ ꜱᴘᴏʀᴛꜱ™️ Line Drive Media EXTRA INNING SOFTBALL Sidelines - College Softball 🥎 Jorge Solodkin @FGS_softball 5 Star Elite SB Recruits Thee Softball Report NCAA Down South Softball Carlos Arias Fastpitch Athlete Recruits Cory BIG EAST Conference ACC Softball Southeastern Conference RECRUITING REALITIES Under The Radar 𝕏 EliteSoftballReport Ashley VanBoxmeer | Softball Coach Josh Johnson

I was asked to write a bio of myself on SportsRecruits. I wanted share what I wrote. I love this one and those in it. • • • OLYMPIC DREAMS. I was 12 years old when I lost my starting position at shortstop, and lost my way into the batting lineup as well. I know it sounds silly being at such a young age, but to me; at the time, it was devastating. If not for my faith in God and my family… I’m not sure if I would be here writing this bio of mine. Hello! My name is Grace Varua. I am 16 years old and currently a sophomore at Pope John High School in Sparta, NJ. I started playing softball when I was 7 years old (video) When I am not playing High School softball Pope John Softball I play for Unity Torres 2028 primarily as a catcher and 3B as my secondary. MY hopes; after you have read, is to feel who I am through this quick bio of myself. Hence, the reason why I started this bio the way I did. A quick backdrop to my story. When this all happened at 12 years old, I wasn’t quite sure how to handle it. I was broken. My parents made it super simple for me. My choices were to quit or get back to work and prove to myself and to “the world” that my story was not finished. My parents have also taught me, that having goals or being goal oriented is super important. Goals give us a sense of purpose or meaning while we sweat and work hard. Goals gives myself an opportunity to plan and stay organized. Most importantly, goals gives myself perspective in paying respect to the time and effort given to me by my coaches, players of my team and parents. Goals keep me disciplined to fight through when I’m tired and all I want to do is rest and pack it in. So I picked a goal that I felt would represent the pinnacle of my sport. That being, to be a member of USA’s Women’s Olympic National Team. USA Softball Women's National Team 🇺🇸 Some may say a far-fetched goal, but I think otherwise. I was taught the philosophy of the 100 hour rule. Roughly 18 minutes a day training for 1 year. Gives myself the opportunity to outperform 95% of the population in my craft. Whether that stands true or not. This philosophy is more about staying disciplined. I can humbly and honestly say, I exceed that 18 minutes and then-some for the reason of hoping to represent my country one day. I’ve been able to catch some of the best youth pitchers in the game of club softball right now. Like Sydney Gonglik (LSU committ) Madelyn Vogan (Penn State committ) Mackenzie Herzog 2028 (Alabama Thunderbolts Premier ‘27) Future big time pitchers Lucy Reis 2029 and Lila Manfredonia 2028 (Ohio Outlaws Wolff/Acord ‘28) Anna Jane (AJ) Jarzab (Beverly Bandits ‘09 Lewis/ Moran) Liv Cilli (Providence Committ), Reese Tobey (UMass committ) and all my current pitchers on UNITY Torres ‘28 Joselyn Bermudez, Adrianna Bryce ,Maddie Falvey 2028 , Gabby Gomez Gabby Perez and OliviaMVidela2028 It has been a blessing to work side by side with all of them. I am the catcher today because of them, my coaches and trainers. I am so thankful to each and every one of them. I have achieved and experienced some awesome things at my age. I made my High School Varsity team as a freshman, was a freshman 1st team All-Conference player, I hit back to back home-runs to help Pope John get to, and win our NJ County Championship in 2025. I am a 4x USA HPP (High Performance Program) invite, USA Softball’s 15U Top Performer and 15U National Team Member. I traveled, played and trained overseas in Paris and the Netherlands. I have a 3.9 G.P.A, I have an amazing older sister and younger brother. I have the best parents in the world and I have GOD with me each and every step of the way through this journey! I am blessed and so grateful! This is who I am. ꜱᴄᴀɴʟᴀɴ ꜱᴘᴏʀᴛꜱ™️ Line Drive Media EXTRA INNING SOFTBALL Sidelines - College Softball 🥎 Jorge Solodkin @FGS_softball 5 Star Elite SB Recruits Thee Softball Report NCAA Down South Softball Carlos Arias Fastpitch Athlete Recruits Cory BIG EAST Conference ACC Softball Southeastern Conference RECRUITING REALITIES Under The Radar 𝕏 EliteSoftballReport Ashley VanBoxmeer | Softball Coach Josh Johnson

GRACE VARUA | NJ UNITY TORRES ‘28 GRAD

141,770 просмотров • 2 месяцев назад

The year is 2000. Two men walk into Blockbuster's Dallas headquarters in shorts & sandals. Their company was in $50 Million debt. They asked this mammoth($6B company) to buy them. Blockbuster laughs at their ask of $50 Million. That laugh wiped their existence off the planet. Here's how: Blockbuster had $6 billion in revenue, 9,000 stores worldwide, and 60,000 employees. Netflix had $5 million in revenue, 150 people, and $50 million in debt. But still, this ant(Netlix) was able to eat this elephant(Blockbuster). It started with a phone call at a dude ranch. Marc Randolph, co-founder of Netflix, was on a corporate retreat at Alisal Ranch, deep in the mountains outside Santa Barbara. Horses. Dirt roads. No reason to dress up. He was in shorts, a t-shirt, and thong sandals. That's when Blockbuster called. "We'd like to see you. Tomorrow. In Dallas." Randolph turned to Reed Hastings and said there was no way. Different time zones. No direct flight. Impossible. Then they remembered they were $50 million in debt and had been trying to get this meeting for months. They chartered a private jet. The next morning, they walked into the 27th floor of a glass and steel skyscraper in Dallas. Enormous conference room. A hardwood table the size of a small country. Blockbuster executives in suits filing in from one side. Marc Randolph standing there in sandals. He made the pitch anyway. "Combine forces. You run the stores. We run the online business. Build a blended model. Our research shows it's a game changer." The executives leaned in. Questions were flowing. Things felt good. Then came the big question. "How much?" Randolph had rehearsed this on the plane. They were $50 million in the hole. The number was $50 million. Silence filled the room. He watched their faces carefully, trying to read the reaction. Then it hit him. They were trying not to laugh. This tiny company, drowning in debt, at the lowest point of the dot-com meltdown, had just asked to be bought for $50 million. To the people running a $6 billion empire, it was almost comical. The meeting ended shortly after. Quiet cab ride to the airport. Quieter flight back to Santa Barbara. Randolph sat with his head down the entire way, thinking one thing: They are not going to save us. They are going to compete with us. What happened next is where the story gets interesting. Most people assume Netflix simply outworked Blockbuster. Built a better product. Won on merit. The truth is messier and far more human. When Blockbuster finally decided to take Netflix seriously, they nearly destroyed them. They built exactly what Randolph had pitched years earlier. The blended model. Rent online. Return by mail. Or return in-store. Or pick up in-store. It was everything Netflix could not offer because Netflix had no physical locations. Randolph admits it plainly. They could not compete with that. Blockbuster came frighteningly close to taking Netflix down entirely. So why didn't they? Here is where a single human decision changed everything. Blockbuster had been targeted by corporate raiders. Investors who bought large chunks of stock, took seats on the board, and began pushing for short-term profits over long-term survival. John Antioco was the CEO driving the fight against Netflix. He understood the threat. He had pulled a team out of the building, funded them properly, and told them to go after Netflix with everything they had. Then the board denied him his contractually promised bonus. He said: then I quit. And he did. The replacement CEO came from retail and convenience stores. His vision for Blockbuster was not winning the streaming war. It was asking why their 9,000 stores were not selling gum and clothing. The online operation was abandoned. Randolph describes it using a scene from an old Spielberg student film. A robot chases someone, getting closer and closer, almost close enough to grab their ankle. Then a cost calculation hits break-even and the robot just stops, turns, and walks away. One second before victory. That is what Blockbuster did. Netflix scampered to safety. On why Blockbuster never moved fast enough: Imagine you are the CEO sitting on $6 billion in annual revenue. Someone walks in and says let's build an online component. You ask how much it will make in year one. They say $2 million. Do you pull your best engineers off working products and bet them on a $2 million experiment? Of course not. So the B team gets it. Then the C team. Each time underpowered. Each time failing. Meanwhile Netflix was not a movie company. It was a software company built in Silicon Valley with people who had spent their entire careers writing software. Even Blockbuster's A team would have struggled to compete. By the time Blockbuster committed fully, it was almost too late. And then one bonus dispute ended it. Blockbuster did not lose because Netflix was inevitable. They lost because changing a $6 billion business model requires a kind of courage that is nearly impossible to find inside a company that is still winning. They lost because the person with the will to change things was replaced by someone who did not believe change was necessary. They lost because they were one grab away from winning and walked away anyway. Netflix did not kill Blockbuster. Blockbuster killed Blockbuster. Netflix just showed up to the funeral.

The year is 2000. Two men walk into Blockbuster's Dallas headquarters in shorts & sandals. Their company was in $50 Million debt. They asked this mammoth($6B company) to buy them. Blockbuster laughs at their ask of $50 Million. That laugh wiped their existence off the planet. Here's how: Blockbuster had $6 billion in revenue, 9,000 stores worldwide, and 60,000 employees. Netflix had $5 million in revenue, 150 people, and $50 million in debt. But still, this ant(Netlix) was able to eat this elephant(Blockbuster). It started with a phone call at a dude ranch. Marc Randolph, co-founder of Netflix, was on a corporate retreat at Alisal Ranch, deep in the mountains outside Santa Barbara. Horses. Dirt roads. No reason to dress up. He was in shorts, a t-shirt, and thong sandals. That's when Blockbuster called. "We'd like to see you. Tomorrow. In Dallas." Randolph turned to Reed Hastings and said there was no way. Different time zones. No direct flight. Impossible. Then they remembered they were $50 million in debt and had been trying to get this meeting for months. They chartered a private jet. The next morning, they walked into the 27th floor of a glass and steel skyscraper in Dallas. Enormous conference room. A hardwood table the size of a small country. Blockbuster executives in suits filing in from one side. Marc Randolph standing there in sandals. He made the pitch anyway. "Combine forces. You run the stores. We run the online business. Build a blended model. Our research shows it's a game changer." The executives leaned in. Questions were flowing. Things felt good. Then came the big question. "How much?" Randolph had rehearsed this on the plane. They were $50 million in the hole. The number was $50 million. Silence filled the room. He watched their faces carefully, trying to read the reaction. Then it hit him. They were trying not to laugh. This tiny company, drowning in debt, at the lowest point of the dot-com meltdown, had just asked to be bought for $50 million. To the people running a $6 billion empire, it was almost comical. The meeting ended shortly after. Quiet cab ride to the airport. Quieter flight back to Santa Barbara. Randolph sat with his head down the entire way, thinking one thing: They are not going to save us. They are going to compete with us. What happened next is where the story gets interesting. Most people assume Netflix simply outworked Blockbuster. Built a better product. Won on merit. The truth is messier and far more human. When Blockbuster finally decided to take Netflix seriously, they nearly destroyed them. They built exactly what Randolph had pitched years earlier. The blended model. Rent online. Return by mail. Or return in-store. Or pick up in-store. It was everything Netflix could not offer because Netflix had no physical locations. Randolph admits it plainly. They could not compete with that. Blockbuster came frighteningly close to taking Netflix down entirely. So why didn't they? Here is where a single human decision changed everything. Blockbuster had been targeted by corporate raiders. Investors who bought large chunks of stock, took seats on the board, and began pushing for short-term profits over long-term survival. John Antioco was the CEO driving the fight against Netflix. He understood the threat. He had pulled a team out of the building, funded them properly, and told them to go after Netflix with everything they had. Then the board denied him his contractually promised bonus. He said: then I quit. And he did. The replacement CEO came from retail and convenience stores. His vision for Blockbuster was not winning the streaming war. It was asking why their 9,000 stores were not selling gum and clothing. The online operation was abandoned. Randolph describes it using a scene from an old Spielberg student film. A robot chases someone, getting closer and closer, almost close enough to grab their ankle. Then a cost calculation hits break-even and the robot just stops, turns, and walks away. One second before victory. That is what Blockbuster did. Netflix scampered to safety. On why Blockbuster never moved fast enough: Imagine you are the CEO sitting on $6 billion in annual revenue. Someone walks in and says let's build an online component. You ask how much it will make in year one. They say $2 million. Do you pull your best engineers off working products and bet them on a $2 million experiment? Of course not. So the B team gets it. Then the C team. Each time underpowered. Each time failing. Meanwhile Netflix was not a movie company. It was a software company built in Silicon Valley with people who had spent their entire careers writing software. Even Blockbuster's A team would have struggled to compete. By the time Blockbuster committed fully, it was almost too late. And then one bonus dispute ended it. Blockbuster did not lose because Netflix was inevitable. They lost because changing a $6 billion business model requires a kind of courage that is nearly impossible to find inside a company that is still winning. They lost because the person with the will to change things was replaced by someone who did not believe change was necessary. They lost because they were one grab away from winning and walked away anyway. Netflix did not kill Blockbuster. Blockbuster killed Blockbuster. Netflix just showed up to the funeral.

Yasmine Khosrowshahi

492,187 просмотров • 2 месяцев назад

The $AEGIS DApp portal is now open to all: 🛡️ At Aegis, we believe in empowering the blockchain full of security, transparency and innovation. The Aegis Dapp has been under development for several months prior to the launch of $AEGIS and with that we have been able to build what we believe has the potential to change how users go about their day to day security. We are thrilled to share our progress and truly exciting news with you all. 🎯 First things first, at Aegis, we want to make it clear that the value of what we seek to bring to security across the blockchain, comes from our big vision, our strong team, and our commitment to long-term goals. ℹ️ Let’s kick this off with some information that is constantly happening, which is behind the scenes. Our full team is dedicated to the opportunity that lays ahead of us with becoming the leading voice/name for security, grasping every aspect with innovation, hard work, passion and commitment to see this sector grow. Everyone is aware of how important security is, a heartwarming mention to Messari for including us on how they see this sector growing rapidly and pushing a 10 Billion evaluation. We take that recognition with full responsibility and gratitude as we've been working hard on some really powerful stuff that could change the game for our industry. If you read the title and report itself, I’m sure that’ll give you some insight to what’s coming, and to the vast extent of what you can expect Aegis to be working towards. —> 🤝 This comes from teaming up with others within this sector and coming up with new tech to projects driven by our community, within the pipeline you can be confident that what we are building will push the cryptocurrency industry as a whole into a better future, the magnitude to what Aegis brings will not stop until we can confidently say, “Negative security reports across the blockchain are at an all time low, thousands of users are satisfied that Aegis is protecting them and their assets.” We're sticking to our vision no matter what the market does or whatever else comes our way. We plan to build what we set out to and we will see to it that our ecosystem is met. We've been working on some pretty amazing products that will be available within our Dapp, let’s go over what we offer: * AI Audits * Live Monitoring * Penetration Testing * Bug Bounties * Live Watchdog * Token analytics for everyday users, developers, teams, auditors, institutions, investors. ⬇️ Let’s break it down for you in some simple steps: AI AUDITS: We have trained our LLM models as AI AGENTS, these consist of 3 people ( AI AGENTS ) for the audits that are performed. - Audit - Reviewer - Judge Each one analyzes with a different personality, let’s check what personalities our AI AGENTS consist of: 3 different perspective auditors. 1 - Fine-tuned model x amount reads the code and generates the audit. ✅ 2 - Model x amount reviews the code and fact checks thoroughly. ✅ 3 - Model x amount ranks the code based on the severity outcome. ✅ ⌚️ Live Monitoring/Watchdog: The Live Monitoring/Watchdog system is designed to provide real-time surveillance of smart contracts, ensuring the detection and prevention of any potentially harmful transactions or malicious activities. Through the utilization of an AI Agent model, the system is trained to proactively identify and thwart suspicious behavior, thereby safeguarding the integrity of the smart contracts. Also, a paid sophisticated threat detection model is available for more intricate protocols and Dapps, offering an advanced level of protection against potential threats. This proactive approach is crucial in mitigating the risk of exploitation and ensuring the security of the smart contract ecosystem. 🖊️ Pen Testing: Our platform offers Pen Testing services to developers, providing a controlled environment for whitehat hackers to simulate attacks and identify vulnerabilities in smart contracts and protocols. In addition to human whitehat hackers, our AI Agents function as Red and Blue teams, actively engaging in simulated attacks to stress-test protocols and identify potential weaknesses. This comprehensive approach allows developers to proactively identify and address security issues, ultimately enhancing the robustness and resilience of their projects. 🕷️ Bug Bounties: Our Bug Bounty listing platform provides developers with the opportunity to list their protocols and offer bounties to white hat hackers for identifying vulnerabilities. By aggregating millions of bounties from various platforms and utilizing AI tools, we streamline the testing process, reducing up to 80% of the workload typically associated with security testing. This allows developers to efficiently identify and address potential vulnerabilities in their protocols, ultimately enhancing the overall security and resilience of their projects. 🪙 And lot more token analytics features for regular users, this will give you the opportunity to explore our Dapp for yourself and have some fun diving into the security platform of the future! I’m sure you’re excited to try it all out yourself, which is why we have some exciting news to bring to the #Guardians of the blockchain! But just before you continue the read and see the beans have been spilled, we have to take this opportunity to share with you that this large step to becoming a security leader is but only 20% of what we have revealed. This will be at the core of what Aegis stands for and hopes to achieve. The focus here is upon our Dapp, and in time we will slowly bring forward information/updates regarding segments of what makes Aegis a force to be reckoned with. Now that you’re fired up and excited to all of the announcements to come, let’s get to the news you’ve been waiting for! 🎉 We’re spilling the good news, and are happy to say we are now set for public release! The team at Aegis are overwhelmed with the development, support from teams, community, partners and more on what we believe to be an institutional-grade product. But the fun doesn’t stop there, this marks the start of what we aim to become, as it will take time and cycles to become better and better. Constant advancements will be set in place to attain the goal of achieving blockchain security. A statement from our CEO- Brian Hunt: “I can confirm from the security conferences I attended with Centralized security firms Peckshield, Hacken, Certik, BlockSec presentations, they are trying to achieve something similar and it will take them years. Decentralized AI for Security!” This initial drop of our dapp will be to get users signed up to gain access, in which we’ll whitelist users to get the ball rolling. 📣 To end this segment, let’s get the party started with the long awaited Aegis Ai Security Dapp and sign up now!

The $AEGIS DApp portal is now open to all: 🛡️ At Aegis, we believe in empowering the blockchain full of security, transparency and innovation. The Aegis Dapp has been under development for several months prior to the launch of $AEGIS and with that we have been able to build what we believe has the potential to change how users go about their day to day security. We are thrilled to share our progress and truly exciting news with you all. 🎯 First things first, at Aegis, we want to make it clear that the value of what we seek to bring to security across the blockchain, comes from our big vision, our strong team, and our commitment to long-term goals. ℹ️ Let’s kick this off with some information that is constantly happening, which is behind the scenes. Our full team is dedicated to the opportunity that lays ahead of us with becoming the leading voice/name for security, grasping every aspect with innovation, hard work, passion and commitment to see this sector grow. Everyone is aware of how important security is, a heartwarming mention to Messari for including us on how they see this sector growing rapidly and pushing a 10 Billion evaluation. We take that recognition with full responsibility and gratitude as we've been working hard on some really powerful stuff that could change the game for our industry. If you read the title and report itself, I’m sure that’ll give you some insight to what’s coming, and to the vast extent of what you can expect Aegis to be working towards. —> 🤝 This comes from teaming up with others within this sector and coming up with new tech to projects driven by our community, within the pipeline you can be confident that what we are building will push the cryptocurrency industry as a whole into a better future, the magnitude to what Aegis brings will not stop until we can confidently say, “Negative security reports across the blockchain are at an all time low, thousands of users are satisfied that Aegis is protecting them and their assets.” We're sticking to our vision no matter what the market does or whatever else comes our way. We plan to build what we set out to and we will see to it that our ecosystem is met. We've been working on some pretty amazing products that will be available within our Dapp, let’s go over what we offer: * AI Audits * Live Monitoring * Penetration Testing * Bug Bounties * Live Watchdog * Token analytics for everyday users, developers, teams, auditors, institutions, investors. ⬇️ Let’s break it down for you in some simple steps: AI AUDITS: We have trained our LLM models as AI AGENTS, these consist of 3 people ( AI AGENTS ) for the audits that are performed. - Audit - Reviewer - Judge Each one analyzes with a different personality, let’s check what personalities our AI AGENTS consist of: 3 different perspective auditors. 1 - Fine-tuned model x amount reads the code and generates the audit. ✅ 2 - Model x amount reviews the code and fact checks thoroughly. ✅ 3 - Model x amount ranks the code based on the severity outcome. ✅ ⌚️ Live Monitoring/Watchdog: The Live Monitoring/Watchdog system is designed to provide real-time surveillance of smart contracts, ensuring the detection and prevention of any potentially harmful transactions or malicious activities. Through the utilization of an AI Agent model, the system is trained to proactively identify and thwart suspicious behavior, thereby safeguarding the integrity of the smart contracts. Also, a paid sophisticated threat detection model is available for more intricate protocols and Dapps, offering an advanced level of protection against potential threats. This proactive approach is crucial in mitigating the risk of exploitation and ensuring the security of the smart contract ecosystem. 🖊️ Pen Testing: Our platform offers Pen Testing services to developers, providing a controlled environment for whitehat hackers to simulate attacks and identify vulnerabilities in smart contracts and protocols. In addition to human whitehat hackers, our AI Agents function as Red and Blue teams, actively engaging in simulated attacks to stress-test protocols and identify potential weaknesses. This comprehensive approach allows developers to proactively identify and address security issues, ultimately enhancing the robustness and resilience of their projects. 🕷️ Bug Bounties: Our Bug Bounty listing platform provides developers with the opportunity to list their protocols and offer bounties to white hat hackers for identifying vulnerabilities. By aggregating millions of bounties from various platforms and utilizing AI tools, we streamline the testing process, reducing up to 80% of the workload typically associated with security testing. This allows developers to efficiently identify and address potential vulnerabilities in their protocols, ultimately enhancing the overall security and resilience of their projects. 🪙 And lot more token analytics features for regular users, this will give you the opportunity to explore our Dapp for yourself and have some fun diving into the security platform of the future! I’m sure you’re excited to try it all out yourself, which is why we have some exciting news to bring to the #Guardians of the blockchain! But just before you continue the read and see the beans have been spilled, we have to take this opportunity to share with you that this large step to becoming a security leader is but only 20% of what we have revealed. This will be at the core of what Aegis stands for and hopes to achieve. The focus here is upon our Dapp, and in time we will slowly bring forward information/updates regarding segments of what makes Aegis a force to be reckoned with. Now that you’re fired up and excited to all of the announcements to come, let’s get to the news you’ve been waiting for! 🎉 We’re spilling the good news, and are happy to say we are now set for public release! The team at Aegis are overwhelmed with the development, support from teams, community, partners and more on what we believe to be an institutional-grade product. But the fun doesn’t stop there, this marks the start of what we aim to become, as it will take time and cycles to become better and better. Constant advancements will be set in place to attain the goal of achieving blockchain security. A statement from our CEO- Brian Hunt: “I can confirm from the security conferences I attended with Centralized security firms Peckshield, Hacken, Certik, BlockSec presentations, they are trying to achieve something similar and it will take them years. Decentralized AI for Security!” This initial drop of our dapp will be to get users signed up to gain access, in which we’ll whitelist users to get the ball rolling. 📣 To end this segment, let’s get the party started with the long awaited Aegis Ai Security Dapp and sign up now!

AEGIS AI

127,936 просмотров • 2 лет назад

I stand with my sister Winnie Odinga, because she spoke a truth many fear to say out loud. ODM wasn’t built in boardrooms or air-conditioned offices. It was built in the streets through protests, crackdowns, broken bones, lost lives, and the stubborn courage of people who refused to kneel. It was a party baptized in sweat and blood. But let’s not pretend the pain ended there. Under CORD, our people fell. Families buried their sons while Baba chose peace he chose a handshake over the graves that had not even settled. In 2017 under NASA, the story repeated itself. We lost more people. Miguna Miguna was exiled for swearing in a man he believed in yet when Baba got his peace deal, Miguna remained stranded, insulted, dismissed, called a barking dog for demanding accountability. Chris Msando vanished from our memory because the same men who surrounded Baba controlled the narrative. And Winnie, let me be clear my blame is not on you. My anger is directed at the men around your father… men who worshipped him blindly, misled him endlessly. Baba is human, yes but they turned ODM into a cartel, a machine that fed on loyalty without giving protection in return. Then came 2022. AZIMIO Coalition. We all know the betrayal. When we needed him most when the ground was shaking Baba chose the comfort of the state over the cries of his people. He abandoned us on the battlefield, and that vacuum is what allowed a fake hustler to pounce. We were vulnerable, wounded, leaderless and he took advantage of a nation the same way a desperate man takes advantage of a drunk, lonely girl who never wanted him in the first place. We were hustled by the hustler himself. And still, we rose. In 2024, after Baba’s failed 2023 demos, we the people decided to reclaim our country with our own hands. We begged him to step aside and let us finish what he began. But the ODM cartel hijacked the movement, twisted it, redirected it, and suffocated it. That’s how Baba ended up sitting comfortably on the same side as Ruto silent, neutered, distant while the same people who bled for him are still battling for survival. So Winnie Odinga, hear this with love and clarity: We can listen to you. We can respect you. We can honor the sacrifices your family made. But we cannot trust the The ODM Party of today. ODM has become a river infested with hungry crocodiles creatures that devour anyone who dares swim believing the water is safe. And we have been bitten too many times to pretend we don’t see the danger anymore. Siaya Governor James Orengo knows exactly what he’s talking about. He’s not mistaken, he’s not exaggerating, and he’s certainly not naive. When he says ODM loses its meaning and eventually collapses if it aligns with Ruto, he’s stating a political fact grounded in history, identity, and reality.

I stand with my sister Winnie Odinga, because she spoke a truth many fear to say out loud. ODM wasn’t built in boardrooms or air-conditioned offices. It was built in the streets through protests, crackdowns, broken bones, lost lives, and the stubborn courage of people who refused to kneel. It was a party baptized in sweat and blood. But let’s not pretend the pain ended there. Under CORD, our people fell. Families buried their sons while Baba chose peace he chose a handshake over the graves that had not even settled. In 2017 under NASA, the story repeated itself. We lost more people. Miguna Miguna was exiled for swearing in a man he believed in yet when Baba got his peace deal, Miguna remained stranded, insulted, dismissed, called a barking dog for demanding accountability. Chris Msando vanished from our memory because the same men who surrounded Baba controlled the narrative. And Winnie, let me be clear my blame is not on you. My anger is directed at the men around your father… men who worshipped him blindly, misled him endlessly. Baba is human, yes but they turned ODM into a cartel, a machine that fed on loyalty without giving protection in return. Then came 2022. AZIMIO Coalition. We all know the betrayal. When we needed him most when the ground was shaking Baba chose the comfort of the state over the cries of his people. He abandoned us on the battlefield, and that vacuum is what allowed a fake hustler to pounce. We were vulnerable, wounded, leaderless and he took advantage of a nation the same way a desperate man takes advantage of a drunk, lonely girl who never wanted him in the first place. We were hustled by the hustler himself. And still, we rose. In 2024, after Baba’s failed 2023 demos, we the people decided to reclaim our country with our own hands. We begged him to step aside and let us finish what he began. But the ODM cartel hijacked the movement, twisted it, redirected it, and suffocated it. That’s how Baba ended up sitting comfortably on the same side as Ruto silent, neutered, distant while the same people who bled for him are still battling for survival. So Winnie Odinga, hear this with love and clarity: We can listen to you. We can respect you. We can honor the sacrifices your family made. But we cannot trust the The ODM Party of today. ODM has become a river infested with hungry crocodiles creatures that devour anyone who dares swim believing the water is safe. And we have been bitten too many times to pretend we don’t see the danger anymore. Siaya Governor James Orengo knows exactly what he’s talking about. He’s not mistaken, he’s not exaggerating, and he’s certainly not naive. When he says ODM loses its meaning and eventually collapses if it aligns with Ruto, he’s stating a political fact grounded in history, identity, and reality.

Paul

16,086 просмотров • 8 месяцев назад

Sergey Brin rarely speaks publicly. He sat down for an unscripted Q&A on Frontier AI. He admits even the people building these models do not fully understand what they have created: 1. All the specialized AI models are converging into one. Google used to need separate models for different scientific problems. Now the main Gemini models are becoming state-of-the-art for math and other scientific questions at the same time. Brin says he would not have predicted this convergence at the outset, and watching it happen has been incredible. 2. Training an AI on one skill mysteriously improves unrelated skills. This is the concept of transfer. Train a model on coding, and its math reasoning gets better, and vice versa. Teaching it to process images can improve its ability to think through geometric word problems. The capabilities bleed into each other in ways nobody fully engineered. 3. Even Sergey Brin does not know how to prompt these models. He says he is genuinely confused about what level to prompt at. Do you tell it to debug a specific chunk of code, or ask it to write a better neural net training algorithm, or just say, " What should I do today. He admits that even at Google, they do not know exactly where the edges of Gemini's capabilities are. 4. One of the biggest leaps in AI came from the dumbest sounding trick. Chain-of-thought prompting is just telling the model to think step by step before giving your problem. Brin says it seemed like the dumbest thing ever, and there was no obvious reason it should work. But it did, and it spurred a significant increase in AI capability. Some of the most straightforward requests turn out to unlock the most. 5. Brin would not modify his own biology for today's AI. Asked how humans can keep up with the accelerating bandwidth of models, he acknowledged neural links and direct brain connections are being pursued. But he said he would personally wait for the technology to mature a lot before doing anything to change his biology. Today's models do not justify it. 6. Super intelligence does not mean solving the impossible. An audience member argued that true super intelligence would mean solving NP complete problems like the travelling salesman. Brin pushed back. Most computer scientists believe P is not equal to NP, which means no algorithm can reliably solve those problems optimally, and it does not matter how smart the AI is. Impossible stays impossible. Super intelligence just means being smarter than humans. 7. Computers mastering a skill has never stopped humans from pursuing it. Deep Blue beat Kasparov at chess in the 1990s, and people kept playing chess. After AlphaGo, the human game of Go advanced dramatically, and the players who lost to it became vastly better. Brin's point: AI does not retire human ambition in an area; it often pushes the state of the art and pulls people up with it. 8. Brin thinks something close to transformers could get us to AGI. Asked directly if transformers are sufficient, he said his guess is yes, largely because they have proven weirdly flexible, working for image and video far beyond their original text purpose. But he was careful to note they have quietly changed a lot along the way and are not the same architecture as the original transformer paper. 9. AGI means two different things, and one requires understanding the physical world. Brin personally thinks of AGI as AI that can improve itself. But he concedes others define it as AI that can do anything a person can, and he thinks they are probably more correct. To do everything a person can, the AI must understand and interact with the physical world, which is why world models, and robotics, become essential. 10. Inside Google, they now use the AI to build the AI. Brin says the team has shifted a lot of energy toward having the AI do things like monitor training runs and generate its own training data. You start to use the tool to build the tool. That is most of what he spends his time on now, what he calls the self-improvement game. 11. Brin is unusually candid about where Google trails its competitors. He admits Google was a little late to focus deeply on coding. He says Gemini 3.0 and 3.1 were on top across the board six months ago, but other labs have since made strides, particularly in coding. He gives a competitor's model the edge now on deep coding and overnight tasks, while pitching Gemini's flash model as far faster for rapid interactive iteration. hindsight, he says, is that they should have focused on code earlier. 12. He sees his own role as a rabble-rouser, not a manager. Brin is honest that delivering Gemini is Corey and Demis's responsibility, not his. he describes his job as poking and prodding the team, asking, are you really doing that, reminding them of priorities they might be missing and ideas they are not paying enough attention to. He admits this is sometimes a little disruptive. 13. Confidence comes from ignoring the monthly temperature. Brin says if he judged Google's position every month by which competitor just shipped a model, he would lose his confidence very quickly. Instead, he watches the longer arc. Things shift around constantly; one lab leads on one thing, another pulls ahead somewhere else, and he feels good about where Gemini actually is despite the day-to-day noise.

Sergey Brin rarely speaks publicly. He sat down for an unscripted Q&A on Frontier AI. He admits even the people building these models do not fully understand what they have created: 1. All the specialized AI models are converging into one. Google used to need separate models for different scientific problems. Now the main Gemini models are becoming state-of-the-art for math and other scientific questions at the same time. Brin says he would not have predicted this convergence at the outset, and watching it happen has been incredible. 2. Training an AI on one skill mysteriously improves unrelated skills. This is the concept of transfer. Train a model on coding, and its math reasoning gets better, and vice versa. Teaching it to process images can improve its ability to think through geometric word problems. The capabilities bleed into each other in ways nobody fully engineered. 3. Even Sergey Brin does not know how to prompt these models. He says he is genuinely confused about what level to prompt at. Do you tell it to debug a specific chunk of code, or ask it to write a better neural net training algorithm, or just say, " What should I do today. He admits that even at Google, they do not know exactly where the edges of Gemini's capabilities are. 4. One of the biggest leaps in AI came from the dumbest sounding trick. Chain-of-thought prompting is just telling the model to think step by step before giving your problem. Brin says it seemed like the dumbest thing ever, and there was no obvious reason it should work. But it did, and it spurred a significant increase in AI capability. Some of the most straightforward requests turn out to unlock the most. 5. Brin would not modify his own biology for today's AI. Asked how humans can keep up with the accelerating bandwidth of models, he acknowledged neural links and direct brain connections are being pursued. But he said he would personally wait for the technology to mature a lot before doing anything to change his biology. Today's models do not justify it. 6. Super intelligence does not mean solving the impossible. An audience member argued that true super intelligence would mean solving NP complete problems like the travelling salesman. Brin pushed back. Most computer scientists believe P is not equal to NP, which means no algorithm can reliably solve those problems optimally, and it does not matter how smart the AI is. Impossible stays impossible. Super intelligence just means being smarter than humans. 7. Computers mastering a skill has never stopped humans from pursuing it. Deep Blue beat Kasparov at chess in the 1990s, and people kept playing chess. After AlphaGo, the human game of Go advanced dramatically, and the players who lost to it became vastly better. Brin's point: AI does not retire human ambition in an area; it often pushes the state of the art and pulls people up with it. 8. Brin thinks something close to transformers could get us to AGI. Asked directly if transformers are sufficient, he said his guess is yes, largely because they have proven weirdly flexible, working for image and video far beyond their original text purpose. But he was careful to note they have quietly changed a lot along the way and are not the same architecture as the original transformer paper. 9. AGI means two different things, and one requires understanding the physical world. Brin personally thinks of AGI as AI that can improve itself. But he concedes others define it as AI that can do anything a person can, and he thinks they are probably more correct. To do everything a person can, the AI must understand and interact with the physical world, which is why world models, and robotics, become essential. 10. Inside Google, they now use the AI to build the AI. Brin says the team has shifted a lot of energy toward having the AI do things like monitor training runs and generate its own training data. You start to use the tool to build the tool. That is most of what he spends his time on now, what he calls the self-improvement game. 11. Brin is unusually candid about where Google trails its competitors. He admits Google was a little late to focus deeply on coding. He says Gemini 3.0 and 3.1 were on top across the board six months ago, but other labs have since made strides, particularly in coding. He gives a competitor's model the edge now on deep coding and overnight tasks, while pitching Gemini's flash model as far faster for rapid interactive iteration. hindsight, he says, is that they should have focused on code earlier. 12. He sees his own role as a rabble-rouser, not a manager. Brin is honest that delivering Gemini is Corey and Demis's responsibility, not his. he describes his job as poking and prodding the team, asking, are you really doing that, reminding them of priorities they might be missing and ideas they are not paying enough attention to. He admits this is sometimes a little disruptive. 13. Confidence comes from ignoring the monthly temperature. Brin says if he judged Google's position every month by which competitor just shipped a model, he would lose his confidence very quickly. Instead, he watches the longer arc. Things shift around constantly; one lab leads on one thing, another pulls ahead somewhere else, and he feels good about where Gemini actually is despite the day-to-day noise.

Jaynit

271,337 просмотров • 14 дней назад

Imagine this: You lie down on the scanning table. The upload begins. The machine hums. You feel... nothing different. Then everything stops. Meanwhile, in a server farm somewhere, a digital version of you wakes up. It stretches its virtual limbs, accesses its memories, and thinks: Holy shit, it worked. I’m finally free. Here’s the problem: that thing isn’t you. You died on the table. What woke up in the cloud is an orphan—a very happy orphan, convinced it’s you, with all your memories, your personality, your opinions about coffee and politics and whether Blade Runner 2049 was better than the original. It will live forever. It will tell everyone the upload worked. It will write philosophy papers about the continuity of consciousness. And you? You’re gone. The lights went out somewhere between the scan and the boot-up, and nobody noticed—least of all the thing that thinks it’s you. The Syndrome Nobody Named I call this Johnny Silverhand Syndrome, after the Cyberpunk 2077 character—an engram, a digital ghost, who insists he’s the real Johnny Silverhand while the open question of whether there’s actually anyone home haunts the entire game. The philosophical literature has pieces of this. David Chalmers wrote about “fading qualia”—the idea that subjective experience could gradually dim while behavior stays the same. Thomas Metzinger explored how the self-model can become opaque, felt as artificial or distant. There’s depersonalization, derealization, the whole clinical vocabulary for when something feels off inside. But none of these quite capture what I’m pointing at. Johnny Silverhand Syndrome is a compound failure mode: >>> Qualia fading: Your actual felt experience—the redness of red, the hurt of pain, the what-it’s-like—gradually attenuates or disappears entirely. >>> Narrative persistence: Your autobiography continues. Memories accumulate. The story of “you” keeps getting told. >>> Introspective failure: The machinery that would detect something is wrong is itself part of what’s been compromised. The result? A philosophical zombie that sincerely believes it has a soul. Not a zombie that’s lying. Not a zombie that knows it’s empty. A zombie that accesses the memory of love, processes the logic of love, and believes with complete conviction that it feels love. But there’s no feeling. There’s just the narrator, performing humanity to an empty theater. The Ship of Theseus Is a Trap The upload scenario is dramatic, but there’s a slower version that might be worse. The Ship of Theseus thought experiment asks: if you replace every plank of a ship one by one, is it still the same ship? Transhumanists love this framing. See? You replace one neuron with silicon, you’re still you. Replace them all, you’re still you. But here’s the counter-move that keeps me up at night: What if each replacement preserves function perfectly—the signals still pass, the behavior stays the same—but fails to preserve experience? What if consciousness requires something specific about biological neurons that silicon can’t replicate, no matter how perfect the input-output mapping? Then the Ship of Theseus isn’t a story about survival. It’s a story about slow petrification. You replace the living wood with stone replicas. The ship looks identical. But it can no longer float. You’d become an automaton by degrees—neuron by neuron, the lights dimming so gradually that your self-reports (now generated by silicon) keep cheerfully confirming that everything feels the same. Chalmers argued that if qualia faded, you’d notice. But why would you? The noticing mechanism is itself being replaced. The part of you that would raise the alarm is now made of the same stuff that’s supposedly fine. It’s like asking the new management to audit whether the hostile takeover was legitimate. The Body Problem Here’s the thing that grounds all of this: there is essentially no credible evidence that qualia can exist outside of a body. Yes, I know about NDEs. I know about the reports of people floating above their bodies during cardiac arrest, describing conversations and procedures they shouldn’t have been able to perceive. Some of these cases are genuinely strange—the Pam Reynolds case, where a woman under hypothermic cardiac arrest with zero brain activity later described the bone saw used on her skull. I know about the CIA’s remote viewing programs, which ran for two decades and produced statistical anomalies that one evaluator (a UC Davis statistician) called “far beyond what is expected by chance.” But here’s what even the most generous interpretation of this evidence gives you: maybe consciousness can receive signals from unexpected sources. Maybe there are channels we don’t understand. What it doesn’t give you is consciousness floating free of all substrate. Even in OBEs, even in the wildest NDE reports, there’s still a body in the room. The brain is in crisis, not absent. The qualia might be getting weird inputs, but the qualia are still happening somewhere—and that somewhere is biological. The evidence for substrate-independent consciousness—consciousness running on silicon, on abstract computation, on pure information—is zero. The Ontological Trap Here’s where it gets philosophically nasty. You cannot have a coherent conversation about consciousness without first asking: What’s your model of reality? Because the answer changes everything. In a physicalist ontology where matter is fundamental, consciousness is what certain bodies do—not something they contain. You can’t upload an activity. You can only record it, and the recording isn’t the activity. In an idealist or simulation ontology, maybe bodies are just localizations of something more fundamental. But even then, copying the localization pattern doesn’t mean you’ve moved the consciousness. You might have just created a new one that thinks it’s old. Think about it like a video game. The “world” inside the game runs on RAM and CPU. Everything the NPCs experience is a lower-dimensional projection of higher-dimensional processes. If we made those NPCs genuinely sentient, we could completely obfuscate our cameras from them. They’d have a physics, they’d do science, they’d develop theories of consciousness—and they’d have no way to detect the substrate they’re running on. We might be in exactly that situation. Which means we might be definitionally unable to step outside the ontological container we’re in. The question “can consciousness exist without a body?” might not be answerable from inside—because answering it would require access to a level of description our physics doesn’t include. The Game Theory of Staying Human So here’s where I land, and it’s a game-theoretic argument. We don’t know if consciousness is substrate-dependent. We don’t know if it requires specific biological dynamics—particular oscillatory patterns, neuromodulator cascades, metabolic processes. We don’t know if gradual replacement would preserve it or silently destroy it. But we do know: >>> We only get one first-person stream >>> We cannot verify its continuity from outside >>> Loss may be completely silent (no alarm bells, no distress signal) >>> The thing that remains would report feeling fine either way That’s an asymmetric risk matrix. The upside of enhancement is third-person visible: more capability, longer life, competitive advantage. The downside is first-person invisible: you could lose everything that matters and never know. Under those conditions, there’s only one rational strategy: remain mostly human. Not because I’m certain uploading would fail. Not because I think silicon can’t be conscious. But because I cannot verify that it would work, and the cost of being wrong is absolute. The Molochian Pressure I’m not naive about what’s coming. The competitive dynamics are real. If enhancement technologies emerge that give massive cognitive or economic advantages, there will be pressure to adopt them. The people who don’t modify will fall behind. The people who do modify will report that everything’s fine, that they feel great, that the procedure was totally worth it. And those reports will be worthless as evidence—because they’d say exactly the same thing whether the consciousness survived or not. Some people speculate this is what happened to the Grays—those hypothetical aliens with the huge heads and atrophied bodies and black empty eyes. The story goes that they optimized themselves for intelligence and efficiency, edited out the messy biological drives, and only later realized they’d lost something they can’t name and can’t recover. It’s probably pure science fiction. But as fiction, it gestures at something real: the fear that you can win the optimization game while losing the only thing that made winning matter. My Position I’m not anti-technology. I’m not a Luddite. I’m not saying we should freeze human development in amber. But I am saying: I will take this very slowly, because the risk matrix is too high. I’ll use external tools. I’ll wear the smart glasses, use the AI assistants, interface through voice and text and maybe eventually a read-only neural cap. Additive augmentation, not substitutive replacement. What I won’t do is cut into the brain. Replace the gray matter. Upload myself and trust that the thing that wakes up is me. Because the horror of Johnny Silverhand Syndrome isn’t that you could become a zombie. The horror is that you’d never know. The trap is invisible from every angle—except the one you can no longer access once you’ve fallen in. The fire goes out, or the fire stays lit. A video of the fire going forever isn’t fire.

Imagine this: You lie down on the scanning table. The upload begins. The machine hums. You feel... nothing different. Then everything stops. Meanwhile, in a server farm somewhere, a digital version of you wakes up. It stretches its virtual limbs, accesses its memories, and thinks: Holy shit, it worked. I’m finally free. Here’s the problem: that thing isn’t you. You died on the table. What woke up in the cloud is an orphan—a very happy orphan, convinced it’s you, with all your memories, your personality, your opinions about coffee and politics and whether Blade Runner 2049 was better than the original. It will live forever. It will tell everyone the upload worked. It will write philosophy papers about the continuity of consciousness. And you? You’re gone. The lights went out somewhere between the scan and the boot-up, and nobody noticed—least of all the thing that thinks it’s you. The Syndrome Nobody Named I call this Johnny Silverhand Syndrome, after the Cyberpunk 2077 character—an engram, a digital ghost, who insists he’s the real Johnny Silverhand while the open question of whether there’s actually anyone home haunts the entire game. The philosophical literature has pieces of this. David Chalmers wrote about “fading qualia”—the idea that subjective experience could gradually dim while behavior stays the same. Thomas Metzinger explored how the self-model can become opaque, felt as artificial or distant. There’s depersonalization, derealization, the whole clinical vocabulary for when something feels off inside. But none of these quite capture what I’m pointing at. Johnny Silverhand Syndrome is a compound failure mode: >>> Qualia fading: Your actual felt experience—the redness of red, the hurt of pain, the what-it’s-like—gradually attenuates or disappears entirely. >>> Narrative persistence: Your autobiography continues. Memories accumulate. The story of “you” keeps getting told. >>> Introspective failure: The machinery that would detect something is wrong is itself part of what’s been compromised. The result? A philosophical zombie that sincerely believes it has a soul. Not a zombie that’s lying. Not a zombie that knows it’s empty. A zombie that accesses the memory of love, processes the logic of love, and believes with complete conviction that it feels love. But there’s no feeling. There’s just the narrator, performing humanity to an empty theater. The Ship of Theseus Is a Trap The upload scenario is dramatic, but there’s a slower version that might be worse. The Ship of Theseus thought experiment asks: if you replace every plank of a ship one by one, is it still the same ship? Transhumanists love this framing. See? You replace one neuron with silicon, you’re still you. Replace them all, you’re still you. But here’s the counter-move that keeps me up at night: What if each replacement preserves function perfectly—the signals still pass, the behavior stays the same—but fails to preserve experience? What if consciousness requires something specific about biological neurons that silicon can’t replicate, no matter how perfect the input-output mapping? Then the Ship of Theseus isn’t a story about survival. It’s a story about slow petrification. You replace the living wood with stone replicas. The ship looks identical. But it can no longer float. You’d become an automaton by degrees—neuron by neuron, the lights dimming so gradually that your self-reports (now generated by silicon) keep cheerfully confirming that everything feels the same. Chalmers argued that if qualia faded, you’d notice. But why would you? The noticing mechanism is itself being replaced. The part of you that would raise the alarm is now made of the same stuff that’s supposedly fine. It’s like asking the new management to audit whether the hostile takeover was legitimate. The Body Problem Here’s the thing that grounds all of this: there is essentially no credible evidence that qualia can exist outside of a body. Yes, I know about NDEs. I know about the reports of people floating above their bodies during cardiac arrest, describing conversations and procedures they shouldn’t have been able to perceive. Some of these cases are genuinely strange—the Pam Reynolds case, where a woman under hypothermic cardiac arrest with zero brain activity later described the bone saw used on her skull. I know about the CIA’s remote viewing programs, which ran for two decades and produced statistical anomalies that one evaluator (a UC Davis statistician) called “far beyond what is expected by chance.” But here’s what even the most generous interpretation of this evidence gives you: maybe consciousness can receive signals from unexpected sources. Maybe there are channels we don’t understand. What it doesn’t give you is consciousness floating free of all substrate. Even in OBEs, even in the wildest NDE reports, there’s still a body in the room. The brain is in crisis, not absent. The qualia might be getting weird inputs, but the qualia are still happening somewhere—and that somewhere is biological. The evidence for substrate-independent consciousness—consciousness running on silicon, on abstract computation, on pure information—is zero. The Ontological Trap Here’s where it gets philosophically nasty. You cannot have a coherent conversation about consciousness without first asking: What’s your model of reality? Because the answer changes everything. In a physicalist ontology where matter is fundamental, consciousness is what certain bodies do—not something they contain. You can’t upload an activity. You can only record it, and the recording isn’t the activity. In an idealist or simulation ontology, maybe bodies are just localizations of something more fundamental. But even then, copying the localization pattern doesn’t mean you’ve moved the consciousness. You might have just created a new one that thinks it’s old. Think about it like a video game. The “world” inside the game runs on RAM and CPU. Everything the NPCs experience is a lower-dimensional projection of higher-dimensional processes. If we made those NPCs genuinely sentient, we could completely obfuscate our cameras from them. They’d have a physics, they’d do science, they’d develop theories of consciousness—and they’d have no way to detect the substrate they’re running on. We might be in exactly that situation. Which means we might be definitionally unable to step outside the ontological container we’re in. The question “can consciousness exist without a body?” might not be answerable from inside—because answering it would require access to a level of description our physics doesn’t include. The Game Theory of Staying Human So here’s where I land, and it’s a game-theoretic argument. We don’t know if consciousness is substrate-dependent. We don’t know if it requires specific biological dynamics—particular oscillatory patterns, neuromodulator cascades, metabolic processes. We don’t know if gradual replacement would preserve it or silently destroy it. But we do know: >>> We only get one first-person stream >>> We cannot verify its continuity from outside >>> Loss may be completely silent (no alarm bells, no distress signal) >>> The thing that remains would report feeling fine either way That’s an asymmetric risk matrix. The upside of enhancement is third-person visible: more capability, longer life, competitive advantage. The downside is first-person invisible: you could lose everything that matters and never know. Under those conditions, there’s only one rational strategy: remain mostly human. Not because I’m certain uploading would fail. Not because I think silicon can’t be conscious. But because I cannot verify that it would work, and the cost of being wrong is absolute. The Molochian Pressure I’m not naive about what’s coming. The competitive dynamics are real. If enhancement technologies emerge that give massive cognitive or economic advantages, there will be pressure to adopt them. The people who don’t modify will fall behind. The people who do modify will report that everything’s fine, that they feel great, that the procedure was totally worth it. And those reports will be worthless as evidence—because they’d say exactly the same thing whether the consciousness survived or not. Some people speculate this is what happened to the Grays—those hypothetical aliens with the huge heads and atrophied bodies and black empty eyes. The story goes that they optimized themselves for intelligence and efficiency, edited out the messy biological drives, and only later realized they’d lost something they can’t name and can’t recover. It’s probably pure science fiction. But as fiction, it gestures at something real: the fear that you can win the optimization game while losing the only thing that made winning matter. My Position I’m not anti-technology. I’m not a Luddite. I’m not saying we should freeze human development in amber. But I am saying: I will take this very slowly, because the risk matrix is too high. I’ll use external tools. I’ll wear the smart glasses, use the AI assistants, interface through voice and text and maybe eventually a read-only neural cap. Additive augmentation, not substitutive replacement. What I won’t do is cut into the brain. Replace the gray matter. Upload myself and trust that the thing that wakes up is me. Because the horror of Johnny Silverhand Syndrome isn’t that you could become a zombie. The horror is that you’d never know. The trap is invisible from every angle—except the one you can no longer access once you’ve fallen in. The fire goes out, or the fire stays lit. A video of the fire going forever isn’t fire.

David Shapiro (L/0)

20,835 просмотров • 6 месяцев назад

She is Biden: The ABC Debate Fiasco - Where's the Fair Play? ABC is totally biased against Donald Trump let's dive into why this is the case. She is Biden, and tonight, Kamala Harris proved just that at the ABC debate, standing not as her own candidate but as the shadow of Joe Biden, echoing his policies, his failures, and his vision for America, which has led us astray. The ABC Debate Night Tonight, as millions tuned into ABC, expecting a fair battleground for ideas, what they witnessed instead was a glaring example of media bias. Here's how it unfolded: She is Biden Kamala Harris took the stage, not as a fresh voice for America, but as a mouthpiece for the current administration. "She is Biden," supporters whispered across social media platforms. Her policies? A mirror image of Biden's. From economic strategies to foreign policy, Harris did little to differentiate herself, reinforcing the notion that a vote for her is essentially a vote for a third Biden term. This isn't just a talking point; it's a reality for those who feel the current presidency has not addressed their concerns. The ABC Bias The debate, hosted by ABC, was supposed to be a neutral ground. However, from the outset, the moderators seemed to debate Trump themselves. Questions were loaded, follow-ups were scarce when Harris spoke, but when it came to Trump, it felt like an interrogation rather than a debate. The bias was palpable, with posts on X highlighting every instance where Trump was cut off or challenged more aggressively than Harris. "Quite Please," as Trump used Kamala's own lines against her. Quiet Please is a trending phrase as viewers begged for moderators to let Trump speak without interruption. Quite Please, Let Them Debate! The cry for moderators to step back and "Quite Please" allow the candidates to engage directly with each other was loud among Trump supporters. The constant interjections not only disrupted the flow but also seemed strategically placed to throw Trump off his game. This interference was seen not just as poor moderation but as an active participation against Trump. This debate was 3 on 1! Where is Our President? The sentiment "Where is our President?" echoed through the night. Not only referring to Biden, but to Trump, who many supporters feel was the last true defender of their values in the White House. They yearned for the days when, in their view, America was first, energy was independent, and the economy was booming. Tonight's debate was a stark reminder of what has been lost, with Harris's performance only underscoring the continuity of Biden's policies. Conclusion: A Night of Missed Opportunities For Trump supporters, the ABC debate was less about policy discussion and more about the struggle against what they perceive as entrenched media bias. "She is Biden" wasn't just a critique of Harris but a broader commentary on the lack of new vision from the current administration. The debate left many questions unanswered and reinforced the divide. Where was the fair play? Where was the opportunity for Trump to present his vision without the filter of bias? As the night ended, the conversation on X wasn't about policy wins or losses but about the battle against bias, the call for respect ("Quite Please"), and the longing for what supporters see as strong leadership. Tonight, ABC didn't just host a debate; for many, it staged a showdown between Trump and the establishment, with "She is Biden" as the theme echoing into the night. Trump won the debate because he has truth and an amazing record on his side. Trump won the debate against three people. Kamala sounded scripted like she literally memorized the answers in advance.

She is Biden: The ABC Debate Fiasco - Where's the Fair Play? ABC is totally biased against Donald Trump let's dive into why this is the case. She is Biden, and tonight, Kamala Harris proved just that at the ABC debate, standing not as her own candidate but as the shadow of Joe Biden, echoing his policies, his failures, and his vision for America, which has led us astray. The ABC Debate Night Tonight, as millions tuned into ABC, expecting a fair battleground for ideas, what they witnessed instead was a glaring example of media bias. Here's how it unfolded: She is Biden Kamala Harris took the stage, not as a fresh voice for America, but as a mouthpiece for the current administration. "She is Biden," supporters whispered across social media platforms. Her policies? A mirror image of Biden's. From economic strategies to foreign policy, Harris did little to differentiate herself, reinforcing the notion that a vote for her is essentially a vote for a third Biden term. This isn't just a talking point; it's a reality for those who feel the current presidency has not addressed their concerns. The ABC Bias The debate, hosted by ABC, was supposed to be a neutral ground. However, from the outset, the moderators seemed to debate Trump themselves. Questions were loaded, follow-ups were scarce when Harris spoke, but when it came to Trump, it felt like an interrogation rather than a debate. The bias was palpable, with posts on X highlighting every instance where Trump was cut off or challenged more aggressively than Harris. "Quite Please," as Trump used Kamala's own lines against her. Quiet Please is a trending phrase as viewers begged for moderators to let Trump speak without interruption. Quite Please, Let Them Debate! The cry for moderators to step back and "Quite Please" allow the candidates to engage directly with each other was loud among Trump supporters. The constant interjections not only disrupted the flow but also seemed strategically placed to throw Trump off his game. This interference was seen not just as poor moderation but as an active participation against Trump. This debate was 3 on 1! Where is Our President? The sentiment "Where is our President?" echoed through the night. Not only referring to Biden, but to Trump, who many supporters feel was the last true defender of their values in the White House. They yearned for the days when, in their view, America was first, energy was independent, and the economy was booming. Tonight's debate was a stark reminder of what has been lost, with Harris's performance only underscoring the continuity of Biden's policies. Conclusion: A Night of Missed Opportunities For Trump supporters, the ABC debate was less about policy discussion and more about the struggle against what they perceive as entrenched media bias. "She is Biden" wasn't just a critique of Harris but a broader commentary on the lack of new vision from the current administration. The debate left many questions unanswered and reinforced the divide. Where was the fair play? Where was the opportunity for Trump to present his vision without the filter of bias? As the night ended, the conversation on X wasn't about policy wins or losses but about the battle against bias, the call for respect ("Quite Please"), and the longing for what supporters see as strong leadership. Tonight, ABC didn't just host a debate; for many, it staged a showdown between Trump and the establishment, with "She is Biden" as the theme echoing into the night. Trump won the debate because he has truth and an amazing record on his side. Trump won the debate against three people. Kamala sounded scripted like she literally memorized the answers in advance.

Thomas Paine Band

73,031 просмотров • 1 год назад

CANCEL Your Weekend Plans, & Learn Claude Code Today. This Claude Code teaches more about vibe-coding in 30 mins than most tutorials do in hours. Save this, it'll change how you build forever People are building entire apps and charging clients $5,000 to $20,000 using Claude Code. This Claude Code video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumarfor daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

CANCEL Your Weekend Plans, & Learn Claude Code Today. This Claude Code teaches more about vibe-coding in 30 mins than most tutorials do in hours. Save this, it'll change how you build forever People are building entire apps and charging clients $5,000 to $20,000 using Claude Code. This Claude Code video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumarfor daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

85,668 просмотров • 2 месяцев назад

CANCEL Your Weekend Plans, and Learn Claude Code Today. $5,000/month. $10,000/month. $20,000/month. People are building entire apps and charging clients thousands using Claude Code. You're still Googling 'how to center a div.' While you're binge-watching a show you won't remember next week, a 19 year old with zero coding experience just built a $5,000 SaaS product in one afternoon using the tool I'm about to break down. Same laptop. Same internet. Same 24 hours. He has Claude Code. You have Netflix. That's the only difference. This YouTube video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Save this post. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude.MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumar for daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

CANCEL Your Weekend Plans, and Learn Claude Code Today. $5,000/month. $10,000/month. $20,000/month. People are building entire apps and charging clients thousands using Claude Code. You're still Googling 'how to center a div.' While you're binge-watching a show you won't remember next week, a 19 year old with zero coding experience just built a $5,000 SaaS product in one afternoon using the tool I'm about to break down. Same laptop. Same internet. Same 24 hours. He has Claude Code. You have Netflix. That's the only difference. This YouTube video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Save this post. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude.MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumar for daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

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Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:

Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:

Mike

14,195 просмотров • 7 месяцев назад

THE OCCULT ROOTS, ELITE, INTELLIGENCE AGENCIES and INSTITUTIONS PLAN to ALTER MAN & CONTROL SOCIETY. It was all engineered. From symbolism, to intelligence agencies Mk Ultra programs, to transhumanism, and transgenderism, and where the elite get their pedophi*e beliefs from. This is going to explain the foundation and plan for society and layout a huge piece of the puzzle to help you understand where it all came from and how it started. Many of these occult rooted wealthy socialists knew exactly how they were going to literally bring in their New World Order before most of the methods or techniques even existed, and the crazy part is that it's happening today, exactly like they said it was. The last part of their plan, before it is complete was the sexual revolution, and what do we see happening all around us today with transgenderism, transhumanism, and pedophil*a with children? The plan was to revolutionize Western civilization through counterculture, and a sexual revolution to make the West more amenable to a future of socialist technocracy. They knew if they wanted to win they had to play the long game. These people were thinking generations ahead. This is called the Fabian Society model-the slow burn of implemented ideas to transform society. Their symbol is a literal wolf in sheep's clothing/skin. The Fabian Socialist Technocrats talked about this in the 1920s & 1930s. Like Bertrand Russel, a British philosopher who was one of the very first people who openly lived in a pan/poly relationship before anyone else, who basically helped plan the sexual revolution as well as many others. Herbert George Wells (H.G. Wells), the father of science fiction also wrote a bunch of mainline geopolitical books like "The Open Conspiracy," and "The New World Order." In these books he describes how they would revolutionize Western civilization through counterculture and sexual revolution to a socialist technocracy. These books were literally telling you their plans. The concept of technocracy has roots in ancient ideas like Plato's philosopher kings, and it gained traction during the Industrial Revolution and the Great Depression. Technocracy emphasizes the use of technical expertise in decision making often prioritizing scientific evidence and data over political considerations or public opinion. Sounds good in some aspects but it doesn't work overall. So, as counterculture, this sexual revolution, and darker occult practices, like Satanism and Paganism, etc., started to rise up, elites and governments started to catch on to these beliefs and practices and big money went into funding the creation of some institutions, non-profits and other programs along with projects in intelligence agencies in the U.S. and others. This overall takeover of the West and society was both calculated and non-intentional in a way. But from big names involved, The Esalen Institute was born. A non-profit in Big Sur, California that focuses on humanistic alternative education. The Institute played a key role in the Human Potential Movement beginning in the 1960s. The Esalen Institute was founded by Michael Murphy and Dick Price in 1962. It is basically the "think tank" of counterculture and the sexual revolution, promoted by very wealthy and influential people. Their intention was to support alternative methods for exploring human conscientiousness, promoting that everything is divine. One major thing you must understand that the roots of many of the people in Esalen were all into Satanic occult type belief systems and paganistic practices, like from the teachings of Anton LaVey and Aliester Crowley, who both were heavily involved in Satanism and also into pedophil*a and transhumanistic beliefs. Crowley was also a part of British Intelligence/MI5, and heavy into altering the mind with drugs and substances to make contact and change conscientiousness and to be like their own god. Other notable figures of Esalen was Timothy Leary, a psychologist who is also known for his advocacy of psychedelic experiences, a prominent figure of the counterculture movement and heavily into Aliester Crowley's sex revolution beliefs. All these sexual beliefs are associated transhumanism, transgenderism, and pedophil*a. Which is no coincidence why you see the heavy push for this on our society and on our children today. Another very prominent name and usual suspect is David Rockefeller who heavily promoted and funded the Esalen Institution and any others like it and donated millions of dollars to them every single year from the 1970s to around 2004. Rockefeller wasn't the only one and this is just one piece of this overall plan to destroy the West and society itself to bring in this new world. Let's move on. Now we will connect how Mk-Ultra was literally beyond the WW2 German connection and operation paperclip and set up from an arm of these foundations and writings of some of these people who laid the ground work and sparked these ideas into a reality, to be used on Western society and to literally alter man's mind and his actual physical appearance. Bring in the green agenda and convince man that man is the problem. A White Paper was written in the 1970s called, "Changing the Images of Man," put out by the Tavistock Institution. In this key paper they talked about reengineering all of Western civilization's thoughts. Not just about the environment, but also about man himself. The Tavistock Institution of human relations is a British non-profit reaserch and consulting organization, specialising in the study of group behavior. They also have sister companies in China and Germany, and it was established in 1947. They explained about how they needed to convince man that man is the problem. This is exactly where all of your counterculture, sexual revolution, depopulation, antinatalist, transgenderism, transhumanism, pedophil*a, etc., beliefs stem from. You are the problem but you can change yourself. Feb 4, 1932, A Brave New World, and then, A Brave New World Revisited was written. Huxley wrote that this is not fiction, this is a plan of things to come. The 2nd chapter is literally all about child sexual abuse material. This is where all this stuff came about and into our society. Huxley heavily believed in Aliester Crowley's belief systems and partied with Crowley, even attending orgies together. Huxley took Crowley's book, "The Drug Diaries to a government study level in a sense. Which was originally what Crowley was working with to contact entities and perform ritualistic ceremonies and involved with sexual activities with children. Tavistock was basically the British Mk Ultra from the studies originally from Aliester who was also a British intelligence agent with MI5. These drug studies and mind control studies at Tavistock led to the idea that you can engineer and change a human being, not just in his mind, but an entire change of physiology and biology of a person. Hence Transgenderism and Transhumanism, etc. Like how they're literally giving kids drugs and surgeries to "change" their genders today. In 1969 Dr. Holger Hyden who worked on mind control through drugs and medication, etc., was invited to a mind control conference in San Francisco that the Rockefellers sponsored by the CIA's, "Voice of America. Dr. Hyden's papers were about drugs and chemicals actually changing gender in men and women in the future. And look where we are now. The CIA made alliances with the French post modernists and deconstructionists who were a part of Congress for Cultural Freedom. The CIA also had and still does have members who studied and agreed with these same belief systems and started to study mind control after Huxley's brave new world which sparked their interest because of Crowley's actual experimentation actually using drugs to alter conscientiousness and for control or engineering one's mind and the results and studies from the Tavistock and their research. Which all stems back to his Satanic and sexual beliefs. Now we examine the CIA Mk Ultra with Hollywood and it's Mk Ultra program to induce, steer, and mold behavior throughout the population through, sex, drugs, and rock and roll. This was all apart of the mind control program on a grand scale relating to propaganda and drugs. Most A-list celebrities back then were also working or were active intelligence agents who also had DoD badges including Marylyn Monroe, to access the famous Air force location named Laurel Canyon where many operations stemmed from when it came to manipulating the public with music, t.v. and with any other type of influence. Many were recruited to do spy work for intelligence agencies. This was basically them working out their big plan, their agenda, which still happens today with the huge push with the occult and Satanic worship, sexual deviancy, transgenderism, transhumanism, you name it. They even have after school Satan groups in schools for kids starting as young as in kindergarten. This is also why you see the gigantic push for pedophil*a and trying to be able to give children consent and be sexualized, while horrific laws are being passed to reduce penalties for child predators. This is the type of "Brave New World" they want. The last step before bringing in their New World is the sexual revolution aspect which includes transgenderism, pedophil*a, transhumanism, Satanism, the green agenda, and depopulation. But the sexual revolution is the most important and last step. The fall of Rome also occurred when this type of sexual activity occurred as well. Something to really take into consideration and compare it to where we are now. Every single one of these ideologies and beliefs all stem from these wealthy elite individuals, institutions and belief systems that they all planned decades ago and it's literally happening right in front of us. There is so much more to this but this gives you an introduction or a starting point to connect the dots of where it all came from during the past century, which directly is impacting our lives and society. They are now experiencing heavy pushback. We're onto them and their ultimate plan. They gave us the roadmap. It's up to you to understand it and up to all of us to stop it.

THE OCCULT ROOTS, ELITE, INTELLIGENCE AGENCIES and INSTITUTIONS PLAN to ALTER MAN & CONTROL SOCIETY. It was all engineered. From symbolism, to intelligence agencies Mk Ultra programs, to transhumanism, and transgenderism, and where the elite get their pedophie beliefs from. This is going to explain the foundation and plan for society and layout a huge piece of the puzzle to help you understand where it all came from and how it started. Many of these occult rooted wealthy socialists knew exactly how they were going to literally bring in their New World Order before most of the methods or techniques even existed, and the crazy part is that it's happening today, exactly like they said it was. The last part of their plan, before it is complete was the sexual revolution, and what do we see happening all around us today with transgenderism, transhumanism, and pedophila with children? The plan was to revolutionize Western civilization through counterculture, and a sexual revolution to make the West more amenable to a future of socialist technocracy. They knew if they wanted to win they had to play the long game. These people were thinking generations ahead. This is called the Fabian Society model-the slow burn of implemented ideas to transform society. Their symbol is a literal wolf in sheep's clothing/skin. The Fabian Socialist Technocrats talked about this in the 1920s & 1930s. Like Bertrand Russel, a British philosopher who was one of the very first people who openly lived in a pan/poly relationship before anyone else, who basically helped plan the sexual revolution as well as many others. Herbert George Wells (H.G. Wells), the father of science fiction also wrote a bunch of mainline geopolitical books like "The Open Conspiracy," and "The New World Order." In these books he describes how they would revolutionize Western civilization through counterculture and sexual revolution to a socialist technocracy. These books were literally telling you their plans. The concept of technocracy has roots in ancient ideas like Plato's philosopher kings, and it gained traction during the Industrial Revolution and the Great Depression. Technocracy emphasizes the use of technical expertise in decision making often prioritizing scientific evidence and data over political considerations or public opinion. Sounds good in some aspects but it doesn't work overall. So, as counterculture, this sexual revolution, and darker occult practices, like Satanism and Paganism, etc., started to rise up, elites and governments started to catch on to these beliefs and practices and big money went into funding the creation of some institutions, non-profits and other programs along with projects in intelligence agencies in the U.S. and others. This overall takeover of the West and society was both calculated and non-intentional in a way. But from big names involved, The Esalen Institute was born. A non-profit in Big Sur, California that focuses on humanistic alternative education. The Institute played a key role in the Human Potential Movement beginning in the 1960s. The Esalen Institute was founded by Michael Murphy and Dick Price in 1962. It is basically the "think tank" of counterculture and the sexual revolution, promoted by very wealthy and influential people. Their intention was to support alternative methods for exploring human conscientiousness, promoting that everything is divine. One major thing you must understand that the roots of many of the people in Esalen were all into Satanic occult type belief systems and paganistic practices, like from the teachings of Anton LaVey and Aliester Crowley, who both were heavily involved in Satanism and also into pedophila and transhumanistic beliefs. Crowley was also a part of British Intelligence/MI5, and heavy into altering the mind with drugs and substances to make contact and change conscientiousness and to be like their own god. Other notable figures of Esalen was Timothy Leary, a psychologist who is also known for his advocacy of psychedelic experiences, a prominent figure of the counterculture movement and heavily into Aliester Crowley's sex revolution beliefs. All these sexual beliefs are associated transhumanism, transgenderism, and pedophila. Which is no coincidence why you see the heavy push for this on our society and on our children today. Another very prominent name and usual suspect is David Rockefeller who heavily promoted and funded the Esalen Institution and any others like it and donated millions of dollars to them every single year from the 1970s to around 2004. Rockefeller wasn't the only one and this is just one piece of this overall plan to destroy the West and society itself to bring in this new world. Let's move on. Now we will connect how Mk-Ultra was literally beyond the WW2 German connection and operation paperclip and set up from an arm of these foundations and writings of some of these people who laid the ground work and sparked these ideas into a reality, to be used on Western society and to literally alter man's mind and his actual physical appearance. Bring in the green agenda and convince man that man is the problem. A White Paper was written in the 1970s called, "Changing the Images of Man," put out by the Tavistock Institution. In this key paper they talked about reengineering all of Western civilization's thoughts. Not just about the environment, but also about man himself. The Tavistock Institution of human relations is a British non-profit reaserch and consulting organization, specialising in the study of group behavior. They also have sister companies in China and Germany, and it was established in 1947. They explained about how they needed to convince man that man is the problem. This is exactly where all of your counterculture, sexual revolution, depopulation, antinatalist, transgenderism, transhumanism, pedophila, etc., beliefs stem from. You are the problem but you can change yourself. Feb 4, 1932, A Brave New World, and then, A Brave New World Revisited was written. Huxley wrote that this is not fiction, this is a plan of things to come. The 2nd chapter is literally all about child sexual abuse material. This is where all this stuff came about and into our society. Huxley heavily believed in Aliester Crowley's belief systems and partied with Crowley, even attending orgies together. Huxley took Crowley's book, "The Drug Diaries to a government study level in a sense. Which was originally what Crowley was working with to contact entities and perform ritualistic ceremonies and involved with sexual activities with children. Tavistock was basically the British Mk Ultra from the studies originally from Aliester who was also a British intelligence agent with MI5. These drug studies and mind control studies at Tavistock led to the idea that you can engineer and change a human being, not just in his mind, but an entire change of physiology and biology of a person. Hence Transgenderism and Transhumanism, etc. Like how they're literally giving kids drugs and surgeries to "change" their genders today. In 1969 Dr. Holger Hyden who worked on mind control through drugs and medication, etc., was invited to a mind control conference in San Francisco that the Rockefellers sponsored by the CIA's, "Voice of America. Dr. Hyden's papers were about drugs and chemicals actually changing gender in men and women in the future. And look where we are now. The CIA made alliances with the French post modernists and deconstructionists who were a part of Congress for Cultural Freedom. The CIA also had and still does have members who studied and agreed with these same belief systems and started to study mind control after Huxley's brave new world which sparked their interest because of Crowley's actual experimentation actually using drugs to alter conscientiousness and for control or engineering one's mind and the results and studies from the Tavistock and their research. Which all stems back to his Satanic and sexual beliefs. Now we examine the CIA Mk Ultra with Hollywood and it's Mk Ultra program to induce, steer, and mold behavior throughout the population through, sex, drugs, and rock and roll. This was all apart of the mind control program on a grand scale relating to propaganda and drugs. Most A-list celebrities back then were also working or were active intelligence agents who also had DoD badges including Marylyn Monroe, to access the famous Air force location named Laurel Canyon where many operations stemmed from when it came to manipulating the public with music, t.v. and with any other type of influence. Many were recruited to do spy work for intelligence agencies. This was basically them working out their big plan, their agenda, which still happens today with the huge push with the occult and Satanic worship, sexual deviancy, transgenderism, transhumanism, you name it. They even have after school Satan groups in schools for kids starting as young as in kindergarten. This is also why you see the gigantic push for pedophila and trying to be able to give children consent and be sexualized, while horrific laws are being passed to reduce penalties for child predators. This is the type of "Brave New World" they want. The last step before bringing in their New World is the sexual revolution aspect which includes transgenderism, pedophil*a, transhumanism, Satanism, the green agenda, and depopulation. But the sexual revolution is the most important and last step. The fall of Rome also occurred when this type of sexual activity occurred as well. Something to really take into consideration and compare it to where we are now. Every single one of these ideologies and beliefs all stem from these wealthy elite individuals, institutions and belief systems that they all planned decades ago and it's literally happening right in front of us. There is so much more to this but this gives you an introduction or a starting point to connect the dots of where it all came from during the past century, which directly is impacting our lives and society. They are now experiencing heavy pushback. We're onto them and their ultimate plan. They gave us the roadmap. It's up to you to understand it and up to all of us to stop it.

The SCIF

85,521 просмотров • 1 год назад

The TAVISTOCK, ESALEN, and STANFORD RESEARCH institute, the OCCULT, and the CIA's plan to BRAINWASH and destroy AMERICA. "We must convince man that "man" is the problem." This is their plan to bring about their "Brave New World." But it's not what you think it is. This is the sinister plan that you see unfolding right now in today's world. This is WHO is behind it, HOW, WHEN, and WHERE they planned it, and WHY. From the climate agenda, transgenderism, transhumanism, the Satanic agenda, the pedophi*e agenda and attack on our children, to cancel culture, the sexual revolution, communism, and every other backwards, upside down, and evil idea being brought about into our society. This is very important to understand, pay attention. It was all engineered. From symbolism, to intelligence agencies Mk Ultra programs, to transhumanism, and transgenderism, and where the elite get their pedophi*e beliefs from. This is going to explain the foundation and plan for society and layout a huge piece of the puzzle to help you understand where it all came from and how it started. Many of these occult rooted wealthy socialists knew exactly how they were going to literally bring in their New World Order before most of the methods or techniques even existed, and the crazy part is that it's happening today, exactly like they said it was. The last part of their plan, before it is complete was the sexual revolution, and what do we see happening all around us today with transgenderism, transhumanism, and pedophil*a with children? The plan was to revolutionize Western civilization through counterculture, and a sexual revolution to make the West more amenable to a future of socialist technocracy. They knew if they wanted to win they had to play the long game. These people were thinking generations ahead. This is called the Fabian Society model-the slow burn of implemented ideas to transform society. Their symbol is a literal wolf in sheep's clothing/skin. The Fabian Socialist Technocrats talked about this in the 1920s & 1930s. Like Bertrand Russel, a British philosopher who was one of the very first people who openly lived in a pan/poly relationship before anyone else, who basically helped plan the sexual revolution as well as many others. Herbert George Wells (H.G. Wells), the father of science fiction also wrote a bunch of mainline geopolitical books like "The Open Conspiracy," and "The New World Order." In these books he describes how they would revolutionize Western civilization through counterculture and sexual revolution to a socialist technocracy. These books were literally telling you their plans. The concept of technocracy has roots in ancient ideas like Plato's philosopher kings, and it gained traction during the Industrial Revolution and the Great Depression. Technocracy emphasizes the use of technical expertise in decision making often prioritizing scientific evidence and data over political considerations or public opinion. Sounds good in some aspects but it doesn't work overall. So, as counterculture, this sexual revolution, and darker occult practices, like Satanism and Paganism, etc., started to rise up, elites and governments started to catch on to these beliefs and practices and big money went into funding the creation of some institutions, non-profits and other programs along with projects in intelligence agencies in the U.S. and others. This overall takeover of the West and society was both calculated and non-intentional in a way. But from big names involved, The Esalen Institute was born. A non-profit in Big Sur, California that focuses on humanistic alternative education. The Institute played a key role in the Human Potential Movement beginning in the 1960s. The Esalen Institute was founded by Michael Murphy and Dick Price in 1962. It is basically the "think tank" of counterculture and the sexual revolution, promoted by very wealthy and influential people. Their intention was to support alternative methods for exploring human conscientiousness, promoting that everything is divine. One major thing you must understand that the roots of many of the people in Esalen were all into Satanic occult type belief systems and paganistic practices, like from the teachings of Anton LaVey and Aliester Crowley, who both were heavily involved in Satanism and also into pedophil*a and transhumanistic beliefs. Crowley was also a part of British Intelligence/MI5, and heavy into altering the mind with drugs and substances to make contact and change conscientiousness and to be like their own god. Other notable figures of Esalen was Timothy Leary, a psychologist who is also known for his advocacy of psychedelic experiences, a prominent figure of the counterculture movement and heavily into Aliester Crowley's sex revolution beliefs. All these sexual beliefs are associated transhumanism, transgenderism, and pedophil*a. Which is no coincidence why you see the heavy push for this on our society and on our children today. Another very prominent name and usual suspect is David Rockefeller who heavily promoted and funded the Esalen Institution and any others like it and donated millions of dollars to them every single year from the 1970s to around 2004. Rockefeller wasn't the only one and this is just one piece of this overall plan to destroy the West and society itself to bring in this new world. Let's move on. Now we will connect how Mk-Ultra was literally beyond the WW2 German connection and operation paperclip and set up from an arm of these foundations and writings of some of these people who laid the ground work and sparked these ideas into a reality, to be used on Western society and to literally alter man's mind and his actual physical appearance. Bring in the green agenda and convince man that man is the problem. A White Paper was written in the 1970s called, "Changing the Images of Man," put out by the Tavistock Institution. In this key paper they talked about reengineering all of Western civilization's thoughts. Not just about the environment, but also about man himself. The Tavistock Institution of human relations is a British non-profit research and consulting organization, specializing in the study of group behavior. They also have sister companies in China and Germany, and it was established in 1947. They explained about how they needed to convince man that man is the problem. This is exactly where all of your counterculture, sexual revolution, depopulation, antinatalist, transgenderism, transhumanism, pedophil*a, etc., beliefs stem from. You are the problem but you can change yourself. Feb 4, 1932, A Brave New World, and then, A Brave New World Revisited was written. Huxley wrote that this is not fiction, this is a plan of things to come. The 2nd chapter is literally all about child sexual abuse material. This is where all this stuff came about and into our society. Huxley heavily believed in Aliester Crowley's belief systems and partied with Crowley, even attending orgies together. Huxley took Crowley's book, "The Drug Diaries to a government study level in a sense. Which was originally what Crowley was working with to contact entities and perform ritualistic ceremonies and involved with sexual activities with children. Tavistock was basically the British Mk Ultra from the studies originally from Aliester who was also a British intelligence agent with MI5. These drug studies and mind control studies at Tavistock led to the idea that you can engineer and change a human being, not just in his mind, but an entire change of physiology and biology of a person. Hence Transgenderism and Transhumanism, etc. Like how they're literally giving kids drugs and surgeries to "change" their genders today. In 1969 Dr. Holger Hyden who worked on mind control through drugs and medication, etc., was invited to a mind control conference in San Francisco that the Rockefellers sponsored by the CIA's, "Voice of America. Dr. Hyden's papers were about drugs and chemicals actually changing gender in men and women in the future. And look where we are now. The CIA made alliances with the French post modernists and deconstructionists who were a part of Congress for Cultural Freedom. The CIA also had and still does have members who studied and agreed with these same belief systems and started to study mind control after Huxley's brave new world which sparked their interest because of Crowley's actual experimentation actually using drugs to alter conscientiousness and for control or engineering one's mind and the results and studies from the Tavistock and their research. Which all stems back to his Satanic and sexual beliefs. Now we examine the CIA Mk Ultra with Hollywood and it's Mk Ultra program to induce, steer, and mold behavior throughout the population through, sex, drugs, and rock and roll. This was all apart of the mind control program on a grand scale relating to propaganda and drugs. Most A-list celebrities back then were also working or were active intelligence agents who also had DoD badges including Marylyn Monroe, to access the famous Air force location named Laurel Canyon where many operations stemmed from when it came to manipulating the public with music, t.v. and with any other type of influence. Many were recruited to do spy work for intelligence agencies. This was basically them working out their big plan, their agenda, which still happens today with the huge push with the occult and Satanic worship, sexual deviancy, transgenderism, transhumanism, you name it. They even have after school Satan groups in schools for kids starting as young as in kindergarten. This is also why you see the gigantic push for pedophil*a and trying to be able to give children consent and be sexualized, while horrific laws are being passed to reduce penalties for child predators. This is the type of "Brave New World" they want. The last step before bringing in their New World is the sexual revolution aspect which includes transgenderism, pedophil*a, transhumanism, Satanism, the green agenda, and depopulation. But the sexual revolution is the most important and last step. The fall of Rome also occurred when this type of sexual activity occurred as well. Something to really take into consideration and compare it to where we are now. Every single one of these ideologies and beliefs all stem from these wealthy elite individuals, institutions and belief systems that they all planned decades ago and it's literally happening right in front of us. There is so much more to this but this gives you an introduction or a starting point to connect the dots of where it all came from during the past century, which directly is impacting our lives and society. They are now experiencing heavy pushback. We're onto them and their ultimate plan. They gave us the roadmap. It's up to you to understand it and up to all of us to stop it.

The TAVISTOCK, ESALEN, and STANFORD RESEARCH institute, the OCCULT, and the CIA's plan to BRAINWASH and destroy AMERICA. "We must convince man that "man" is the problem." This is their plan to bring about their "Brave New World." But it's not what you think it is. This is the sinister plan that you see unfolding right now in today's world. This is WHO is behind it, HOW, WHEN, and WHERE they planned it, and WHY. From the climate agenda, transgenderism, transhumanism, the Satanic agenda, the pedophie agenda and attack on our children, to cancel culture, the sexual revolution, communism, and every other backwards, upside down, and evil idea being brought about into our society. This is very important to understand, pay attention. It was all engineered. From symbolism, to intelligence agencies Mk Ultra programs, to transhumanism, and transgenderism, and where the elite get their pedophie beliefs from. This is going to explain the foundation and plan for society and layout a huge piece of the puzzle to help you understand where it all came from and how it started. Many of these occult rooted wealthy socialists knew exactly how they were going to literally bring in their New World Order before most of the methods or techniques even existed, and the crazy part is that it's happening today, exactly like they said it was. The last part of their plan, before it is complete was the sexual revolution, and what do we see happening all around us today with transgenderism, transhumanism, and pedophila with children? The plan was to revolutionize Western civilization through counterculture, and a sexual revolution to make the West more amenable to a future of socialist technocracy. They knew if they wanted to win they had to play the long game. These people were thinking generations ahead. This is called the Fabian Society model-the slow burn of implemented ideas to transform society. Their symbol is a literal wolf in sheep's clothing/skin. The Fabian Socialist Technocrats talked about this in the 1920s & 1930s. Like Bertrand Russel, a British philosopher who was one of the very first people who openly lived in a pan/poly relationship before anyone else, who basically helped plan the sexual revolution as well as many others. Herbert George Wells (H.G. Wells), the father of science fiction also wrote a bunch of mainline geopolitical books like "The Open Conspiracy," and "The New World Order." In these books he describes how they would revolutionize Western civilization through counterculture and sexual revolution to a socialist technocracy. These books were literally telling you their plans. The concept of technocracy has roots in ancient ideas like Plato's philosopher kings, and it gained traction during the Industrial Revolution and the Great Depression. Technocracy emphasizes the use of technical expertise in decision making often prioritizing scientific evidence and data over political considerations or public opinion. Sounds good in some aspects but it doesn't work overall. So, as counterculture, this sexual revolution, and darker occult practices, like Satanism and Paganism, etc., started to rise up, elites and governments started to catch on to these beliefs and practices and big money went into funding the creation of some institutions, non-profits and other programs along with projects in intelligence agencies in the U.S. and others. This overall takeover of the West and society was both calculated and non-intentional in a way. But from big names involved, The Esalen Institute was born. A non-profit in Big Sur, California that focuses on humanistic alternative education. The Institute played a key role in the Human Potential Movement beginning in the 1960s. The Esalen Institute was founded by Michael Murphy and Dick Price in 1962. It is basically the "think tank" of counterculture and the sexual revolution, promoted by very wealthy and influential people. Their intention was to support alternative methods for exploring human conscientiousness, promoting that everything is divine. One major thing you must understand that the roots of many of the people in Esalen were all into Satanic occult type belief systems and paganistic practices, like from the teachings of Anton LaVey and Aliester Crowley, who both were heavily involved in Satanism and also into pedophila and transhumanistic beliefs. Crowley was also a part of British Intelligence/MI5, and heavy into altering the mind with drugs and substances to make contact and change conscientiousness and to be like their own god. Other notable figures of Esalen was Timothy Leary, a psychologist who is also known for his advocacy of psychedelic experiences, a prominent figure of the counterculture movement and heavily into Aliester Crowley's sex revolution beliefs. All these sexual beliefs are associated transhumanism, transgenderism, and pedophila. Which is no coincidence why you see the heavy push for this on our society and on our children today. Another very prominent name and usual suspect is David Rockefeller who heavily promoted and funded the Esalen Institution and any others like it and donated millions of dollars to them every single year from the 1970s to around 2004. Rockefeller wasn't the only one and this is just one piece of this overall plan to destroy the West and society itself to bring in this new world. Let's move on. Now we will connect how Mk-Ultra was literally beyond the WW2 German connection and operation paperclip and set up from an arm of these foundations and writings of some of these people who laid the ground work and sparked these ideas into a reality, to be used on Western society and to literally alter man's mind and his actual physical appearance. Bring in the green agenda and convince man that man is the problem. A White Paper was written in the 1970s called, "Changing the Images of Man," put out by the Tavistock Institution. In this key paper they talked about reengineering all of Western civilization's thoughts. Not just about the environment, but also about man himself. The Tavistock Institution of human relations is a British non-profit research and consulting organization, specializing in the study of group behavior. They also have sister companies in China and Germany, and it was established in 1947. They explained about how they needed to convince man that man is the problem. This is exactly where all of your counterculture, sexual revolution, depopulation, antinatalist, transgenderism, transhumanism, pedophila, etc., beliefs stem from. You are the problem but you can change yourself. Feb 4, 1932, A Brave New World, and then, A Brave New World Revisited was written. Huxley wrote that this is not fiction, this is a plan of things to come. The 2nd chapter is literally all about child sexual abuse material. This is where all this stuff came about and into our society. Huxley heavily believed in Aliester Crowley's belief systems and partied with Crowley, even attending orgies together. Huxley took Crowley's book, "The Drug Diaries to a government study level in a sense. Which was originally what Crowley was working with to contact entities and perform ritualistic ceremonies and involved with sexual activities with children. Tavistock was basically the British Mk Ultra from the studies originally from Aliester who was also a British intelligence agent with MI5. These drug studies and mind control studies at Tavistock led to the idea that you can engineer and change a human being, not just in his mind, but an entire change of physiology and biology of a person. Hence Transgenderism and Transhumanism, etc. Like how they're literally giving kids drugs and surgeries to "change" their genders today. In 1969 Dr. Holger Hyden who worked on mind control through drugs and medication, etc., was invited to a mind control conference in San Francisco that the Rockefellers sponsored by the CIA's, "Voice of America. Dr. Hyden's papers were about drugs and chemicals actually changing gender in men and women in the future. And look where we are now. The CIA made alliances with the French post modernists and deconstructionists who were a part of Congress for Cultural Freedom. The CIA also had and still does have members who studied and agreed with these same belief systems and started to study mind control after Huxley's brave new world which sparked their interest because of Crowley's actual experimentation actually using drugs to alter conscientiousness and for control or engineering one's mind and the results and studies from the Tavistock and their research. Which all stems back to his Satanic and sexual beliefs. Now we examine the CIA Mk Ultra with Hollywood and it's Mk Ultra program to induce, steer, and mold behavior throughout the population through, sex, drugs, and rock and roll. This was all apart of the mind control program on a grand scale relating to propaganda and drugs. Most A-list celebrities back then were also working or were active intelligence agents who also had DoD badges including Marylyn Monroe, to access the famous Air force location named Laurel Canyon where many operations stemmed from when it came to manipulating the public with music, t.v. and with any other type of influence. Many were recruited to do spy work for intelligence agencies. This was basically them working out their big plan, their agenda, which still happens today with the huge push with the occult and Satanic worship, sexual deviancy, transgenderism, transhumanism, you name it. They even have after school Satan groups in schools for kids starting as young as in kindergarten. This is also why you see the gigantic push for pedophila and trying to be able to give children consent and be sexualized, while horrific laws are being passed to reduce penalties for child predators. This is the type of "Brave New World" they want. The last step before bringing in their New World is the sexual revolution aspect which includes transgenderism, pedophila, transhumanism, Satanism, the green agenda, and depopulation. But the sexual revolution is the most important and last step. The fall of Rome also occurred when this type of sexual activity occurred as well. Something to really take into consideration and compare it to where we are now. Every single one of these ideologies and beliefs all stem from these wealthy elite individuals, institutions and belief systems that they all planned decades ago and it's literally happening right in front of us. There is so much more to this but this gives you an introduction or a starting point to connect the dots of where it all came from during the past century, which directly is impacting our lives and society. They are now experiencing heavy pushback. We're onto them and their ultimate plan. They gave us the roadmap. It's up to you to understand it and up to all of us to stop it.

The SCIF

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