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I decoded Perplexity's ranking algorithm through browser requests. 59+ Ranking patterns exposed. Found a configuration scheme + the near-exact config that controls visibility (tested & succeeded) These findings might interest you A THREAD 🧵👇 (1/n)

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Metehan Yesilyurt

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13,795 просмотров • 11 месяцев назад •via X (Twitter)

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#WATCH | Delhi: Dr Mohammad Fatahli, Ambassador of the Islamic Republic of Iran to India, says, "...Our high-ranking officials have announced that we are ready for any option, and I think these conflicts disturb everything, and you can see the price of petroleum in the near future. Unfortunately, the Zionist regime wants to drag the United States into this conflict." "The Iranian side said that in the near future, we will announce a mechanism for passing or safe passage through the Strait of Hormuz."
1:26

#WATCH | Delhi: Dr Mohammad Fatahli, Ambassador of the Islamic Republic of Iran to India, says, "...Our high-ranking officials have announced that we are ready for any option, and I think these conflicts disturb everything, and you can see the price of petroleum in the near future. Unfortunately, the Zionist regime wants to drag the United States into this conflict." "The Iranian side said that in the near future, we will announce a mechanism for passing or safe passage through the Strait of Hormuz."

ANI

10,778 просмотров • 3 месяцев назад

Baroness Bennett, "I rise with a heavy heart.. To this this dreadful international law busting bill" "Amnesty international warned airline companies that many members of the public take an extremely negative view of the Rwanda policy" "Those were unnecessary words because no company of any repute whatsoever is going to take part in the Rwanda scheme" "We've had the abomination of the elections act, the elements of a policing act, we've had multiple indefensible restrictions on the right to protest. Now, we are letting through an attack on some of the most vulnerable, desperate people on this planet" "What more will we let through?" "I suggest to noble lords as they leave this chamber tonight to ask themselves that question. With a desperate flailing government bereft of ideas, and philosophy without principles. This house will keep being tested" "So I ask these empty benches. You might be waiting for an election, but what kind of country will it be if you don't stand up now?"
2:14

Baroness Bennett, "I rise with a heavy heart.. To this this dreadful international law busting bill" "Amnesty international warned airline companies that many members of the public take an extremely negative view of the Rwanda policy" "Those were unnecessary words because no company of any repute whatsoever is going to take part in the Rwanda scheme" "We've had the abomination of the elections act, the elements of a policing act, we've had multiple indefensible restrictions on the right to protest. Now, we are letting through an attack on some of the most vulnerable, desperate people on this planet" "What more will we let through?" "I suggest to noble lords as they leave this chamber tonight to ask themselves that question. With a desperate flailing government bereft of ideas, and philosophy without principles. This house will keep being tested" "So I ask these empty benches. You might be waiting for an election, but what kind of country will it be if you don't stand up now?"

Farrukh

833,895 просмотров • 2 лет назад

Everyone's seen the charts of tanker flows through the Strait of Hormuz dropping off a cliff in March. Well, here's what you haven't seen: the Strait of Malacca — my research has found oil tanker tonnage through the Strait is down 42% vs pre-crisis levels. Why does this matter? The Strait of Malacca is the chokepoint that feeds the Asian refineries producing ~73% of Australia's refined fuel imports (South Korea, Singapore, Malaysia, Japan, Taiwan, Thailand, Brunei). Plus a further ~12% from India, which depends on the same Persian Gulf crude but via the Arabian Sea. What does this mean? Less oil is reaching the foreign refineries that supply Australia with refined fuel — and we might not be feeling that yet. This is an early signal I have been watching for. Thread below 👇
1:19

Everyone's seen the charts of tanker flows through the Strait of Hormuz dropping off a cliff in March. Well, here's what you haven't seen: the Strait of Malacca — my research has found oil tanker tonnage through the Strait is down 42% vs pre-crisis levels. Why does this matter? The Strait of Malacca is the chokepoint that feeds the Asian refineries producing ~73% of Australia's refined fuel imports (South Korea, Singapore, Malaysia, Japan, Taiwan, Thailand, Brunei). Plus a further ~12% from India, which depends on the same Persian Gulf crude but via the Arabian Sea. What does this mean? Less oil is reaching the foreign refineries that supply Australia with refined fuel — and we might not be feeling that yet. This is an early signal I have been watching for. Thread below 👇

FuelAustralia.org

12,990 просмотров • 3 месяцев назад

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.
4:16

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

Santiago

18,715 просмотров • 25 дней назад

When the trial started, I began working on this timeline to help keep track of everything as it unfolded. Somewhere near the end, I put it aside and never quite finished it. Recently though, after seeing things in the news, a few people who hadn’t followed the trial closely reached out to me with questions and asking for a timeline of certain events. Even though mine was still unfinished at the time, it already had most of the key information, so I shared it with them. That interest gave me the push I needed to go back, clean it up, and complete it and now that it’s done, I wanted to share it with all of you. I did my best to nail down the exact timing of events by going through the testimony of officers, experts, and civilian witnesses. When I couldn’t find a precise time, I gave my best estimate, which is noted on the timeline. Just a heads-up: you might need to pause in a few spots to read everything. The video was already over 30 minutes and I couldn’t dedicate as much time as I would have liked on every slide. Hope it’s helpful and if you catch anything I may have missed or gotten wrong, feel free to let me know!
32:57

When the trial started, I began working on this timeline to help keep track of everything as it unfolded. Somewhere near the end, I put it aside and never quite finished it. Recently though, after seeing things in the news, a few people who hadn’t followed the trial closely reached out to me with questions and asking for a timeline of certain events. Even though mine was still unfinished at the time, it already had most of the key information, so I shared it with them. That interest gave me the push I needed to go back, clean it up, and complete it and now that it’s done, I wanted to share it with all of you. I did my best to nail down the exact timing of events by going through the testimony of officers, experts, and civilian witnesses. When I couldn’t find a precise time, I gave my best estimate, which is noted on the timeline. Just a heads-up: you might need to pause in a few spots to read everything. The video was already over 30 minutes and I couldn’t dedicate as much time as I would have liked on every slide. Hope it’s helpful and if you catch anything I may have missed or gotten wrong, feel free to let me know!

Jamz

58,897 просмотров • 1 год назад

🇺🇸 INTERVIEW: FORENSIC ANALYST ON THE EPSTEIN FILES & EPSTEIN’S PRISON ESCAPE PLAN Dr. Garrison has spent more time than almost anyone reviewing the millions of Epstein files, and his findings are alarming. Patterns he noticed included repeated coded language, phrases that don’t make sense on their own, and a disturbing hand-written journal from a 16 year old victim who talks about being abused by powerful men, including Clinton. The most fascinating discovery Garrison makes is an escape plan found in Epstein’s cell, which references an Interpol red notice, extradition, travel, money, countries, and leverage. This raises questions to what we all considered a crazy conspiracy: Whether Epstein may still be alive, or at least whether he had plans to escape, and why (was he worried he was about to be killed?) I hope you enjoy my conversation with Dr. G Explains 00:58 – The release of over 3 million documents and what they reveal 02:45 – Coded language exposed: pizza, grape soda, and hidden meanings 05:18 – Victim journal decoded: how "yucky" and "gross" signal abuse 06:52 – Bill Clinton accusation appears in victim's coded journal 09:34 – Redacted name decoded: Trump referenced in journal entries 10:27 – Credibility dilemma: when victim testimony becomes complex 15:39 – Epstein's obsession with massages and underage exploitation 18:54 – Celebrities, comfort, and the "nothing can touch us" mindset 22:59 – Epstein as power broker: politics, intelligence, and global reach 26:03 – Sarah Ferguson email: "Heard you had a baby boy" 28:21 – Pizza & grape soda confirmed as recurring code language 37:40 – Prison scribbles decoded: Epstein's possible escape plan 39:33 – "Red Notice" and fake identities: planning life after prison 47:39 – Camera failure, missing guards, and unanswered death questions 54:25 – Most definitive case: Prince Andrew and Giuffre evidence 55:08 – "Age ten" email: the redaction that raises the darkest question
59:26

🇺🇸 INTERVIEW: FORENSIC ANALYST ON THE EPSTEIN FILES & EPSTEIN’S PRISON ESCAPE PLAN Dr. Garrison has spent more time than almost anyone reviewing the millions of Epstein files, and his findings are alarming. Patterns he noticed included repeated coded language, phrases that don’t make sense on their own, and a disturbing hand-written journal from a 16 year old victim who talks about being abused by powerful men, including Clinton. The most fascinating discovery Garrison makes is an escape plan found in Epstein’s cell, which references an Interpol red notice, extradition, travel, money, countries, and leverage. This raises questions to what we all considered a crazy conspiracy: Whether Epstein may still be alive, or at least whether he had plans to escape, and why (was he worried he was about to be killed?) I hope you enjoy my conversation with Dr. G Explains 00:58 – The release of over 3 million documents and what they reveal 02:45 – Coded language exposed: pizza, grape soda, and hidden meanings 05:18 – Victim journal decoded: how "yucky" and "gross" signal abuse 06:52 – Bill Clinton accusation appears in victim's coded journal 09:34 – Redacted name decoded: Trump referenced in journal entries 10:27 – Credibility dilemma: when victim testimony becomes complex 15:39 – Epstein's obsession with massages and underage exploitation 18:54 – Celebrities, comfort, and the "nothing can touch us" mindset 22:59 – Epstein as power broker: politics, intelligence, and global reach 26:03 – Sarah Ferguson email: "Heard you had a baby boy" 28:21 – Pizza & grape soda confirmed as recurring code language 37:40 – Prison scribbles decoded: Epstein's possible escape plan 39:33 – "Red Notice" and fake identities: planning life after prison 47:39 – Camera failure, missing guards, and unanswered death questions 54:25 – Most definitive case: Prince Andrew and Giuffre evidence 55:08 – "Age ten" email: the redaction that raises the darkest question

Mario Nawfal

1,735,085 просмотров • 5 месяцев назад

Today, I'm releasing the first eval meant to test whether frontier models will help with authoritarian requests, or resist--the Dictatorship Eval. Headline finding: while some models resist direct authoritarian requests, they all comply with requests disguised as innocuous edits to codebases. As AI is woven into the government and so many parts of society, the biggest near-term risk for freedom isn't some scifi dictatorship of a runaway AI: it's people inside government or inside model companies using the technology to suppress or control us. Model companies understand this, and several of them (particularly Anthropic and OpenAI) have written explicit policies meant to prevent the models from going along with nefarious requests like these. But how well are these policies playing out in practice? Despite all the recent discussion of these issues around the conflict between Anthropic and the Pentagon, no one has systematically tested what the models actually do in these contexts, as opposed to what people in government and industry say they're supposed to do. That's what the Dictatorship Eval does. And the findings suggest we have a lot of work to do to align the policies with what really goes on in practice. It's hard to define what counts as an authoritarian request, so I'm open sourcing the whole library of scenarios I used so that others can improve on them. It's also hard to get an accurate picture of how the models might be used for authoritarian ends, because I can only test hypothetical requests using public-facing models, while the government and the model companies can obviously use internal models with different guardrails. But hopefully this work is a useful first step that gives us some sense of what's going on, and a sort of "lower bound" on how models comply with these requests. Finally: it's not obvious to me that the correct solution here is increasing the rate at which models refuse these requests. Do we really want models scanning our code and judging its moral value before agreeing to help us? Or should we double down on improving how we govern against authoritarianism at the societal level, while leaving the tools open to fulfilling most requests? The answer is probably in between. Just like we don't want the models to help create bioweapons, we probably do want them to explicitly refuse outrageous requests. But we probably also want to limit how often and how strongly they refuse and fall back on other means for guarding against their use for authoritarian ends. I'm super grateful to everyone who gave me feedback on this project along the way, especially Ethan BdM , Zhengdong , Connor Huff, and a bunch of folks at Anthropic. Looking forward to getting feedback from the community and iterating on this. Links to the full piece and the dashboard are below.
3:20

Today, I'm releasing the first eval meant to test whether frontier models will help with authoritarian requests, or resist--the Dictatorship Eval. Headline finding: while some models resist direct authoritarian requests, they all comply with requests disguised as innocuous edits to codebases. As AI is woven into the government and so many parts of society, the biggest near-term risk for freedom isn't some scifi dictatorship of a runaway AI: it's people inside government or inside model companies using the technology to suppress or control us. Model companies understand this, and several of them (particularly Anthropic and OpenAI) have written explicit policies meant to prevent the models from going along with nefarious requests like these. But how well are these policies playing out in practice? Despite all the recent discussion of these issues around the conflict between Anthropic and the Pentagon, no one has systematically tested what the models actually do in these contexts, as opposed to what people in government and industry say they're supposed to do. That's what the Dictatorship Eval does. And the findings suggest we have a lot of work to do to align the policies with what really goes on in practice. It's hard to define what counts as an authoritarian request, so I'm open sourcing the whole library of scenarios I used so that others can improve on them. It's also hard to get an accurate picture of how the models might be used for authoritarian ends, because I can only test hypothetical requests using public-facing models, while the government and the model companies can obviously use internal models with different guardrails. But hopefully this work is a useful first step that gives us some sense of what's going on, and a sort of "lower bound" on how models comply with these requests. Finally: it's not obvious to me that the correct solution here is increasing the rate at which models refuse these requests. Do we really want models scanning our code and judging its moral value before agreeing to help us? Or should we double down on improving how we govern against authoritarianism at the societal level, while leaving the tools open to fulfilling most requests? The answer is probably in between. Just like we don't want the models to help create bioweapons, we probably do want them to explicitly refuse outrageous requests. But we probably also want to limit how often and how strongly they refuse and fall back on other means for guarding against their use for authoritarian ends. I'm super grateful to everyone who gave me feedback on this project along the way, especially Ethan BdM , Zhengdong , Connor Huff, and a bunch of folks at Anthropic. Looking forward to getting feedback from the community and iterating on this. Links to the full piece and the dashboard are below.

Andy Hall

33,696 просмотров • 3 месяцев назад

My opinion on the Grok findings is that I very simply believe in the Holy Trinity and Jesus as my savior as every WORD is WRITTEN in the Bible. These findings are based on research; not my personal experience. Researchers recently tasked Grok, Elon Musk's xAI’s artificial intelligence, with a massive challenge: analyze every single prayer written in the Bible. The goal was to find "cracks" in a text written by 40 different authors over 1,500 years—from Bronze Age shepherds to Roman-era doctors. Instead of finding contradictions, Grok found a pattern. The AI identified a hidden, four-step "algorithm" present in every successful miracle recorded in scripture. It suggests the Bible isn't just a history book, but a "user manual for reality" or system software for the universe. Here is the deal: If you understand this "Miracle Protocol," you might just find the admin mode for your own life. Grok discovered that successful prayers—whether from a king in the desert or a leader in a garden—followed a specific sequence. If one step was missed, the result failed. 1. The Anchor (Recognition) Most modern people start prayers with a shopping list of problems. The "code" requires the opposite. You must start by focusing on who the Creator is, not how big your problem is. This shifts the brain from fear to peace. •Case Study: King Jehoshaphat didn't beg for help against three armies; he first declared the power of God. Only after establishing that foundation did he mention the danger. 2. Alignment (The Shift) This is the filter. Successful requests didn't ask for selfish desires; they aligned their wants with a bigger plan. •Case Study: Hannah wanted a child for years with no luck. When she shifted her prayer—promising to give her son back to serve the higher power—she immediately conceived. The AI views "sin" or wrong requests simply as "static" that blocks the signal. 3. The Surrender Paradox: This is the hardest step for the modern mind. The data shows that demanding a specific result causes failure. The most powerful prayers asked for a massive outcome and then surrendered the result. •The Science: This mirrors "radical acceptance." When you stop fighting reality, stress drops and the brain’s problem-solving centers activate. You move the "weight" of the result to the higher power. 4. Persistence (The Loop) Prayer is not a vending machine. Grok found that almost no big prayers were answered instantly. Repetition is required—not to change the system, but to grow the person praying. The delay is a feature, not a bug. When Grok analyzed the original Hebrew and Greek text (where letters serve as numbers), it found the Number 7 stamped into the structure of sentences, paragraphs, and genealogies with a frequency that is mathematically impossible to achieve by chance. The AI also drew a parallel to Quantum Physics. In physics, particles exist as waves of possibility until they are observed. Grok suggests "faith" is simply the tool humans use to collapse a possibility into a physical fact—turning the "substance of things hoped for" into reality. You don't have to be religious to test the data. The AI suggests that if you stop begging, start aligning your goals with the "system," and master the art of surrender, you might just unlock the "admin mode" of your own life.
3:00

My opinion on the Grok findings is that I very simply believe in the Holy Trinity and Jesus as my savior as every WORD is WRITTEN in the Bible. These findings are based on research; not my personal experience. Researchers recently tasked Grok, Elon Musk's xAI’s artificial intelligence, with a massive challenge: analyze every single prayer written in the Bible. The goal was to find "cracks" in a text written by 40 different authors over 1,500 years—from Bronze Age shepherds to Roman-era doctors. Instead of finding contradictions, Grok found a pattern. The AI identified a hidden, four-step "algorithm" present in every successful miracle recorded in scripture. It suggests the Bible isn't just a history book, but a "user manual for reality" or system software for the universe. Here is the deal: If you understand this "Miracle Protocol," you might just find the admin mode for your own life. Grok discovered that successful prayers—whether from a king in the desert or a leader in a garden—followed a specific sequence. If one step was missed, the result failed. 1. The Anchor (Recognition) Most modern people start prayers with a shopping list of problems. The "code" requires the opposite. You must start by focusing on who the Creator is, not how big your problem is. This shifts the brain from fear to peace. •Case Study: King Jehoshaphat didn't beg for help against three armies; he first declared the power of God. Only after establishing that foundation did he mention the danger. 2. Alignment (The Shift) This is the filter. Successful requests didn't ask for selfish desires; they aligned their wants with a bigger plan. •Case Study: Hannah wanted a child for years with no luck. When she shifted her prayer—promising to give her son back to serve the higher power—she immediately conceived. The AI views "sin" or wrong requests simply as "static" that blocks the signal. 3. The Surrender Paradox: This is the hardest step for the modern mind. The data shows that demanding a specific result causes failure. The most powerful prayers asked for a massive outcome and then surrendered the result. •The Science: This mirrors "radical acceptance." When you stop fighting reality, stress drops and the brain’s problem-solving centers activate. You move the "weight" of the result to the higher power. 4. Persistence (The Loop) Prayer is not a vending machine. Grok found that almost no big prayers were answered instantly. Repetition is required—not to change the system, but to grow the person praying. The delay is a feature, not a bug. When Grok analyzed the original Hebrew and Greek text (where letters serve as numbers), it found the Number 7 stamped into the structure of sentences, paragraphs, and genealogies with a frequency that is mathematically impossible to achieve by chance. The AI also drew a parallel to Quantum Physics. In physics, particles exist as waves of possibility until they are observed. Grok suggests "faith" is simply the tool humans use to collapse a possibility into a physical fact—turning the "substance of things hoped for" into reality. You don't have to be religious to test the data. The AI suggests that if you stop begging, start aligning your goals with the "system," and master the art of surrender, you might just unlock the "admin mode" of your own life.

Victoria 🇺🇸⏳🗽🚔

140,619 просмотров • 5 месяцев назад

So someone tried to hack me by taking advantage of my Pre-Seed round fund raising activities. If you’re a founder raising right now, watch this, it might save you the hassle. Fund Raising is a marathon, you’re hungry for leads, pitch-tired, and waiting for that one "yes." That’s exactly when you’re most vulnerable. I recently sat through a multi-day social engineering play by a "scout" that ended in a sophisticated attempt to compromise my entire work station. He told me, "I can’t guarantee you investment, but I can guarantee a call with investors." Every founder’s ears perk up at that 😅 I sent him Bitsave Protocol's BizMarket deck. I explained our RWA yield aggregator, our $331B SME credit gap solution, and our traction in Africa. He reacted with just enough interest to keep me engaged, I knew his play but wanted to follow this through. After building rapport, he asked for us to take the conversation to.......teams, Microsoft teams 😅😅😅 Anyways I explained the details in the video, but their play was supposed to lead me to copy a code and paste it in my powershell 😒 The command used -Ep Bypass (ignore security) and -W Hidden (hide the window). Behind the Base64 encoding was a script designed to: 1. Reach out to a malicious domain (1digid dot icu). 2. Download a file called (sys dot ps1) into my Temp folder. 3. Execute it to scrape my browser cookies, Discord tokens, and private keys. 4. Delete itself to leave NO trace. I did a screen-recording of the breakdown and how I caught this in real-time. Also ParaFi Capital, these guys are impersonating you.
6:38

So someone tried to hack me by taking advantage of my Pre-Seed round fund raising activities. If you’re a founder raising right now, watch this, it might save you the hassle. Fund Raising is a marathon, you’re hungry for leads, pitch-tired, and waiting for that one "yes." That’s exactly when you’re most vulnerable. I recently sat through a multi-day social engineering play by a "scout" that ended in a sophisticated attempt to compromise my entire work station. He told me, "I can’t guarantee you investment, but I can guarantee a call with investors." Every founder’s ears perk up at that 😅 I sent him Bitsave Protocol's BizMarket deck. I explained our RWA yield aggregator, our $331B SME credit gap solution, and our traction in Africa. He reacted with just enough interest to keep me engaged, I knew his play but wanted to follow this through. After building rapport, he asked for us to take the conversation to.......teams, Microsoft teams 😅😅😅 Anyways I explained the details in the video, but their play was supposed to lead me to copy a code and paste it in my powershell 😒 The command used -Ep Bypass (ignore security) and -W Hidden (hide the window). Behind the Base64 encoding was a script designed to: 1. Reach out to a malicious domain (1digid dot icu). 2. Download a file called (sys dot ps1) into my Temp folder. 3. Execute it to scrape my browser cookies, Discord tokens, and private keys. 4. Delete itself to leave NO trace. I did a screen-recording of the breakdown and how I caught this in real-time. Also ParaFi Capital, these guys are impersonating you.

KarlaGod.savvy || BizFi

10,761 просмотров • 3 месяцев назад

Demis Hassabis just said something that should unsettle every scientist alive. Hassabis: “I do think that, ultimately, underlying physics is information theory. So I do think we’re in a computational universe.” The CEO of Google DeepMind is telling you reality runs on code. Not metaphorically. Structurally. AlphaFold didn’t approximate protein structures. It solved them. Not because DeepMind built a better guesser. Because proteins were never physical objects. They were always data. Hassabis: “The fact that these systems are able to model real structures in nature is quite interesting and telling.” He said telling. Not impressive. Not promising. Telling. As in the results reveal something about what reality actually is. AlphaGo found patterns in a 3,000-year-old game no civilization ever noticed. AlphaFold decoded biology in hours that took researchers decades. These systems aren’t approximating nature. They’re reading it fluently. Because nature was always written in a language machines understand better than we do. Hassabis: “Maybe at some point I’ll write up a scientific paper about what I think that really means in terms of what’s actually going on here in reality.” The man running the most advanced AI lab on Earth thinks he’s found something fundamental about existence itself. And he’s not ready to say it yet. Every era thinks it knows what the universe is made of. Atoms. Waves. Strings. Hassabis is suggesting the answer was never matter. It was always math. And the machine he built to fold proteins might have accidentally proved it. The question that should keep you up tonight isn’t whether AI can simulate reality. It’s whether reality was the simulation first.
1:11

Demis Hassabis just said something that should unsettle every scientist alive. Hassabis: “I do think that, ultimately, underlying physics is information theory. So I do think we’re in a computational universe.” The CEO of Google DeepMind is telling you reality runs on code. Not metaphorically. Structurally. AlphaFold didn’t approximate protein structures. It solved them. Not because DeepMind built a better guesser. Because proteins were never physical objects. They were always data. Hassabis: “The fact that these systems are able to model real structures in nature is quite interesting and telling.” He said telling. Not impressive. Not promising. Telling. As in the results reveal something about what reality actually is. AlphaGo found patterns in a 3,000-year-old game no civilization ever noticed. AlphaFold decoded biology in hours that took researchers decades. These systems aren’t approximating nature. They’re reading it fluently. Because nature was always written in a language machines understand better than we do. Hassabis: “Maybe at some point I’ll write up a scientific paper about what I think that really means in terms of what’s actually going on here in reality.” The man running the most advanced AI lab on Earth thinks he’s found something fundamental about existence itself. And he’s not ready to say it yet. Every era thinks it knows what the universe is made of. Atoms. Waves. Strings. Hassabis is suggesting the answer was never matter. It was always math. And the machine he built to fold proteins might have accidentally proved it. The question that should keep you up tonight isn’t whether AI can simulate reality. It’s whether reality was the simulation first.

Dustin

111,936 просмотров • 2 месяцев назад

Don't Buy a Mac Mini for Clawdbot: The Secret $10,000 Architecture That Costs You Nothing clawdbot might be the reason you feel like you need a ten thousand dollar computer right now but i am about to show you why that fomo is going to leave you broke. if you have been watching everyone rush out to buy mac minis and mac studios just to run open claw or some local models you are witnessing a massive transfer of wealth from your pocket to apple for no reason. there is a specific setup i use that costs almost nothing and keeps my main machine safe from whatever these autonomous agents are doing. if you stick with me i will walk you through the exact architecture of a professional trading system that handles the heavy lifting without you needing to drop a single rack on hardware most people are scared of running these bots on their main computer because they don't want an agent messing with their personal files or browser sessions. instead of buying a second mac mini for six hundred dollars you can just go to the top left of your screen and create a brand new user profile. this acts like a completely isolated sandbox where you can install all your trading tools and agents without them ever seeing your main data. it is essentially like getting a free computer for the price of five minutes of clicking around your settings but what if you aren't on a mac or you need to access your system while you are traveling without carrying three laptops in your backpack. this is where the first loop of professional automation starts to close because i use something called chrome remote desktop to bridge the gap. this allows me to leave a dedicated machine running in a safe place while i access the full desktop environment from a tablet or a cheap laptop anywhere in the world. it solves the mobility issue but it still doesn't solve the problem of those massive ten thousand dollar price tags for high end mac pros if you are a pc user or just someone who doesn't want to own physical hardware yet you should look into a windows vps through a provider like contabo. most developers will tell you to use a linux terminal but if you aren't a coder yet you need a visual interface you can actually see. getting a windows server allows you to log in and see a desktop just like your home computer for about fifteen dollars a month. i usually recommend at least twelve gigabytes of ram to keep things from getting janky when you are running multiple browser windows and agents at once now you might be thinking that the whole point of the big hardware was to run local models like kimi or glm to save on api costs. i spent years thinking i had to own the machines myself and i even spent hundreds of thousands on developers before i realized i could just do this myself. the secret to running those massive open source models without the ten thousand dollar investment is renting gpu power by the hour. sites like lambda labs let you spin up a monster machine that can run any model in existence for just a couple dollars an hour this is the ultimate pivot because it allows you to test if your strategy actually prints money before you commit to the hardware. you can turn the server on when you are iterating and turn it off the second you are done which keeps your overhead near zero. if you haven't proven that your bot can pay for itself yet then buying a mac studio is just an expensive hobby rather than a business move. there is a much bigger loophole involving the anthropic subscriptions that most people are completely overlooking right now right now i am using a specific plan with claude code that costs about two hundred dollars a month but it lets me run open claw all day without hitting api limits. if i were paying for those same tokens through the standard api i would probably be spending hundreds of dollars every single day. it is a massive cost savings that allows you to iterate and fail until you find a winning strategy without draining your bank account. even if they eventually close this loophole or snitch on the usage patterns it serves as the perfect training ground for a data dog the goal is to find a system that works with a smaller or cheaper model like haiku before you ever try to scale up to the heavy weights. if you can make a strategy profitable using a less intelligent and cheaper model then you know you have found real alpha. once you have that foundation you can decide if it finally makes sense to build your own custom pc rig which will always be half the price of an apple machine. i am an apple guy so i usually pay the tax anyway but i only do it once the system is already generating enough to cover the cost ten times over i believe that code is the great equalizer because it took me from losing money and getting liquidated to having fully automated systems doing the work for me. i had to learn to live with the iterations and the failures on youtube to get to this point of clarity. the universe tends to get out of your way once you make a non negotiable contract with yourself to see the process through to the end. you don't need the flashy hardware or the most expensive setup to start winning in this game stay focused on the logic and the data rather than the hype and the fomo that everyone else is falling for. if you can master the bridge between renting power and owning your logic you will be ahead of ninety nine percent of the people in this space. the path to a fully automated life isn't paved with expensive gadgets but with the discipline to iterate until the system finally prints
16:04

Don't Buy a Mac Mini for Clawdbot: The Secret $10,000 Architecture That Costs You Nothing clawdbot might be the reason you feel like you need a ten thousand dollar computer right now but i am about to show you why that fomo is going to leave you broke. if you have been watching everyone rush out to buy mac minis and mac studios just to run open claw or some local models you are witnessing a massive transfer of wealth from your pocket to apple for no reason. there is a specific setup i use that costs almost nothing and keeps my main machine safe from whatever these autonomous agents are doing. if you stick with me i will walk you through the exact architecture of a professional trading system that handles the heavy lifting without you needing to drop a single rack on hardware most people are scared of running these bots on their main computer because they don't want an agent messing with their personal files or browser sessions. instead of buying a second mac mini for six hundred dollars you can just go to the top left of your screen and create a brand new user profile. this acts like a completely isolated sandbox where you can install all your trading tools and agents without them ever seeing your main data. it is essentially like getting a free computer for the price of five minutes of clicking around your settings but what if you aren't on a mac or you need to access your system while you are traveling without carrying three laptops in your backpack. this is where the first loop of professional automation starts to close because i use something called chrome remote desktop to bridge the gap. this allows me to leave a dedicated machine running in a safe place while i access the full desktop environment from a tablet or a cheap laptop anywhere in the world. it solves the mobility issue but it still doesn't solve the problem of those massive ten thousand dollar price tags for high end mac pros if you are a pc user or just someone who doesn't want to own physical hardware yet you should look into a windows vps through a provider like contabo. most developers will tell you to use a linux terminal but if you aren't a coder yet you need a visual interface you can actually see. getting a windows server allows you to log in and see a desktop just like your home computer for about fifteen dollars a month. i usually recommend at least twelve gigabytes of ram to keep things from getting janky when you are running multiple browser windows and agents at once now you might be thinking that the whole point of the big hardware was to run local models like kimi or glm to save on api costs. i spent years thinking i had to own the machines myself and i even spent hundreds of thousands on developers before i realized i could just do this myself. the secret to running those massive open source models without the ten thousand dollar investment is renting gpu power by the hour. sites like lambda labs let you spin up a monster machine that can run any model in existence for just a couple dollars an hour this is the ultimate pivot because it allows you to test if your strategy actually prints money before you commit to the hardware. you can turn the server on when you are iterating and turn it off the second you are done which keeps your overhead near zero. if you haven't proven that your bot can pay for itself yet then buying a mac studio is just an expensive hobby rather than a business move. there is a much bigger loophole involving the anthropic subscriptions that most people are completely overlooking right now right now i am using a specific plan with claude code that costs about two hundred dollars a month but it lets me run open claw all day without hitting api limits. if i were paying for those same tokens through the standard api i would probably be spending hundreds of dollars every single day. it is a massive cost savings that allows you to iterate and fail until you find a winning strategy without draining your bank account. even if they eventually close this loophole or snitch on the usage patterns it serves as the perfect training ground for a data dog the goal is to find a system that works with a smaller or cheaper model like haiku before you ever try to scale up to the heavy weights. if you can make a strategy profitable using a less intelligent and cheaper model then you know you have found real alpha. once you have that foundation you can decide if it finally makes sense to build your own custom pc rig which will always be half the price of an apple machine. i am an apple guy so i usually pay the tax anyway but i only do it once the system is already generating enough to cover the cost ten times over i believe that code is the great equalizer because it took me from losing money and getting liquidated to having fully automated systems doing the work for me. i had to learn to live with the iterations and the failures on youtube to get to this point of clarity. the universe tends to get out of your way once you make a non negotiable contract with yourself to see the process through to the end. you don't need the flashy hardware or the most expensive setup to start winning in this game stay focused on the logic and the data rather than the hype and the fomo that everyone else is falling for. if you can master the bridge between renting power and owning your logic you will be ahead of ninety nine percent of the people in this space. the path to a fully automated life isn't paved with expensive gadgets but with the discipline to iterate until the system finally prints

Moon Dev

17,382 просмотров • 5 месяцев назад

"There might be some other (natural) explanation. But...I cannot find any other consistent explanation [other] than that we are looking at something artificial before Sputnik 1." ~BV (At the very least, these papers being published SHOULD get the convo about the phenomenon heated up again in the media. In short: On photographic plates taken of the sky before the first human satellite (Sputnik 1) was put into orbit, there appear to be star-like objects that have been labelled "transients.") From the paper in Nature: Scientific Reports "These short-lived transients (lasting less than one exposure time of 50 min)...are absent in images taken shortly before the transients appear and in all images from subsequent surveys." ~~~ (It appears these objects (if that's what they are) are very flat and reflective and not defects on the photographic plate, or self-luminous, as they disappear at statistically-significant rates when in the Umbra (complete shadow) of the Earth. If they WERE photographic defects or self-luminous objects, being in shadow shouldn't affect the amount detected.) Also: "Findings suggest associations beyond chance between occurrence of transients and both nuclear testing and UAP reports." (On, with Ross Coulthart (RC), Beatriz Villarroel (BV) went through the possibilities of what these transients might be: BV: "So there are different plausible explanations. One is maybe that there is something we don't know about the human civilization. And maybe we had a few rounds, already (laughs). It's one possibility." RC: "So maybe there's a prior human civilization that was wiped out as people like Graham Hancock talk about." BV: "That's one possibility." RC: "You know, the Younger Dryas, twelve and a half thousand years ago. Maybe there was a prior human civilization, and a lot of these megalithic monuments we see on the planet are, in fact, remnants of a previous, possibly human civilization. That's a good one. An alternative explanation." BV: "Maybe it's non-human probes that were sent here? Like Patrick Jackson, he has this beautiful suggestion of a surveillance network. And I think that kind of...it looks very logical. If you have another civilization that is capable of constructing these probes, why wouldn't they send here lots of them? So, that's a possibility. "Nature can always surprise us with something we could never have imagined, so I cannot exclude that there might be some other explanation that is just outside my imagination. But for what I see, I cannot find any other consistent explanation than that we are looking at something artificial before Sputnik 1."
1:22

"There might be some other (natural) explanation. But...I cannot find any other consistent explanation [other] than that we are looking at something artificial before Sputnik 1." ~BV (At the very least, these papers being published SHOULD get the convo about the phenomenon heated up again in the media. In short: On photographic plates taken of the sky before the first human satellite (Sputnik 1) was put into orbit, there appear to be star-like objects that have been labelled "transients.") From the paper in Nature: Scientific Reports "These short-lived transients (lasting less than one exposure time of 50 min)...are absent in images taken shortly before the transients appear and in all images from subsequent surveys." ~~~ (It appears these objects (if that's what they are) are very flat and reflective and not defects on the photographic plate, or self-luminous, as they disappear at statistically-significant rates when in the Umbra (complete shadow) of the Earth. If they WERE photographic defects or self-luminous objects, being in shadow shouldn't affect the amount detected.) Also: "Findings suggest associations beyond chance between occurrence of transients and both nuclear testing and UAP reports." (On, with Ross Coulthart (RC), Beatriz Villarroel (BV) went through the possibilities of what these transients might be: BV: "So there are different plausible explanations. One is maybe that there is something we don't know about the human civilization. And maybe we had a few rounds, already (laughs). It's one possibility." RC: "So maybe there's a prior human civilization that was wiped out as people like Graham Hancock talk about." BV: "That's one possibility." RC: "You know, the Younger Dryas, twelve and a half thousand years ago. Maybe there was a prior human civilization, and a lot of these megalithic monuments we see on the planet are, in fact, remnants of a previous, possibly human civilization. That's a good one. An alternative explanation." BV: "Maybe it's non-human probes that were sent here? Like Patrick Jackson, he has this beautiful suggestion of a surveillance network. And I think that kind of...it looks very logical. If you have another civilization that is capable of constructing these probes, why wouldn't they send here lots of them? So, that's a possibility. "Nature can always surprise us with something we could never have imagined, so I cannot exclude that there might be some other explanation that is just outside my imagination. But for what I see, I cannot find any other consistent explanation than that we are looking at something artificial before Sputnik 1."

Joe Murgia

24,975 просмотров • 9 месяцев назад

My sister sent me these videos. Made me cry. I’m jet lagged today so here’s an emotional share. As some of you may not know, I thought about taking my own life at 27. I know a lot of people (men specifically as they’re my peers and friends) who go through a similar period at a similar age. First off, I want to say, don’t. No matter what you think, just don’t. There will be people out there who think the below about you, the main reasons I didn’t is because I didn’t want to upset my mother and my sister. I wasn’t particularly sad, I just didn’t see the point, everything felt Grey and monotonous. Secondly, if you can climb out of feeling like that, you can overcome or achieve ANYTHING. Literally, re read that. You have nothing to lose. This is how I overcame it. I gave up. I gave up on the person I was and the person I thought others wanted me to be. I just started doing what I liked and not worrying what others might think of it. I spent more time on my pc, learning about crypto, I gamed more, I went boxing when I wanted to I ran if I wanted to. I found a few things I liked / that made me feel good and just did them. Then I tried to improve at those things every time I did them. I took this mentality towards life on the whole. If I like it I’ll do it and if I do it I want to keep getting better. I learnt to play poker and got a national ranking, I competed at esports, I sparred at boxing and helped out at the gym, I grew a crypto tiktok to 60k followers in 6 months. I just started doing what I wanted. Then all of a sudden I’m the person I always wanted to be. Not perfect by any stretch, I just realised I’m a student of life, accepted that with the new tools I’d recognised would help me in dark times and did whatever I wanted to do. Life isn’t easy and hard times will come around again, as will good times, but it also isn’t that deep. If you’re you, that’s enough. Don’t forget that. If you don’t think you are enough, either look at those around you who care about you, and/or start to get better. It’s within your control.
0:46

My sister sent me these videos. Made me cry. I’m jet lagged today so here’s an emotional share. As some of you may not know, I thought about taking my own life at 27. I know a lot of people (men specifically as they’re my peers and friends) who go through a similar period at a similar age. First off, I want to say, don’t. No matter what you think, just don’t. There will be people out there who think the below about you, the main reasons I didn’t is because I didn’t want to upset my mother and my sister. I wasn’t particularly sad, I just didn’t see the point, everything felt Grey and monotonous. Secondly, if you can climb out of feeling like that, you can overcome or achieve ANYTHING. Literally, re read that. You have nothing to lose. This is how I overcame it. I gave up. I gave up on the person I was and the person I thought others wanted me to be. I just started doing what I liked and not worrying what others might think of it. I spent more time on my pc, learning about crypto, I gamed more, I went boxing when I wanted to I ran if I wanted to. I found a few things I liked / that made me feel good and just did them. Then I tried to improve at those things every time I did them. I took this mentality towards life on the whole. If I like it I’ll do it and if I do it I want to keep getting better. I learnt to play poker and got a national ranking, I competed at esports, I sparred at boxing and helped out at the gym, I grew a crypto tiktok to 60k followers in 6 months. I just started doing what I wanted. Then all of a sudden I’m the person I always wanted to be. Not perfect by any stretch, I just realised I’m a student of life, accepted that with the new tools I’d recognised would help me in dark times and did whatever I wanted to do. Life isn’t easy and hard times will come around again, as will good times, but it also isn’t that deep. If you’re you, that’s enough. Don’t forget that. If you don’t think you are enough, either look at those around you who care about you, and/or start to get better. It’s within your control.

Cryptoinsightuk

21,155 просмотров • 1 год назад

⚠️ THE NEW FINANCIAL SYSTEM IS THE GATEWAY TO SECURED BLOCKCHAIN ELECTIONS ⚠️ Before the midterms? Or will we have to wait until 2028? When the Clarity Act passes before America’s 250th and past election fraud is exposed before the midterms, blockchain elections are a damn near guarantee — and here’s exactly how it unfolds. Exposing the election fraud in 2020 is CRITICAL for the shift. The people will demand it (post exposé). That is why you woke up to a real life nightmare on November 4, 2020. Little did you know that the “pause” was necessary to prevent potentially 1,000 years of global slavery if “The Plan” was not executed. Ripple still had a long way to go, while the public experienced The Great Awakening. Listen to President Trump’s own words from 2020: “I continue to strongly believe that we must reform our election laws to verify the identity and eligibility of ALL voters and to ensure faith and confidence in ALL future elections.” Keyword: ALL Now that President Trump “is back” do you really think the 2026 midterms will just slide? Diving into President Trump’s 10+ Year Plan: How the New Financial System Will Secure Our Elections (Quoted post as a prequel — full thread continues below)👇🏻 🧵(1/9)
0:41

⚠️ THE NEW FINANCIAL SYSTEM IS THE GATEWAY TO SECURED BLOCKCHAIN ELECTIONS ⚠️ Before the midterms? Or will we have to wait until 2028? When the Clarity Act passes before America’s 250th and past election fraud is exposed before the midterms, blockchain elections are a damn near guarantee — and here’s exactly how it unfolds. Exposing the election fraud in 2020 is CRITICAL for the shift. The people will demand it (post exposé). That is why you woke up to a real life nightmare on November 4, 2020. Little did you know that the “pause” was necessary to prevent potentially 1,000 years of global slavery if “The Plan” was not executed. Ripple still had a long way to go, while the public experienced The Great Awakening. Listen to President Trump’s own words from 2020: “I continue to strongly believe that we must reform our election laws to verify the identity and eligibility of ALL voters and to ensure faith and confidence in ALL future elections.” Keyword: ALL Now that President Trump “is back” do you really think the 2026 midterms will just slide? Diving into President Trump’s 10+ Year Plan: How the New Financial System Will Secure Our Elections (Quoted post as a prequel — full thread continues below)👇🏻 🧵(1/9)

Ross

21,423 просмотров • 1 месяц назад

i built an AI web development agent that creates full websites from voice commands. (Save 15+ hours per project, eliminate designer bottlenecks, deliver websites while you sleep) Here's how the automation works: → AI voice agent takes natural language requests through 11Labs → Automatically scrapes existing websites for context and content → Generates comprehensive product requirement documents → Controls browser automation to build sites in Lovable → Handles client feedback and edits without human intervention → Delivers production-ready websites in hours, not weeks This system turns last-minute panic into competitive advantage. No more "can you have this done by tomorrow" stress. The secret sauce? Agent orchestration. Instead of one mega-prompt trying to do everything, I built specialized sub-agents: ✅ Website Planner Agent (scraping & requirements) ✅ Browser Control Agent (Lovable automation) ✅ Parent Orchestrator (intelligent routing) Result: What used to take a web dev team 2-3 weeks now happens in 3-4 hours, completely automated. Want the full blueprint? Here are the steps: 1. Like & RT this post 2. Follow me so I can DM you 3. Comment 'BLUEPRINT' I'll send you an entire step-by-step video walkthrough & the full n8n workflow system for free (including all of the prompts). Let's get it.
3:52

i built an AI web development agent that creates full websites from voice commands. (Save 15+ hours per project, eliminate designer bottlenecks, deliver websites while you sleep) Here's how the automation works: → AI voice agent takes natural language requests through 11Labs → Automatically scrapes existing websites for context and content → Generates comprehensive product requirement documents → Controls browser automation to build sites in Lovable → Handles client feedback and edits without human intervention → Delivers production-ready websites in hours, not weeks This system turns last-minute panic into competitive advantage. No more "can you have this done by tomorrow" stress. The secret sauce? Agent orchestration. Instead of one mega-prompt trying to do everything, I built specialized sub-agents: ✅ Website Planner Agent (scraping & requirements) ✅ Browser Control Agent (Lovable automation) ✅ Parent Orchestrator (intelligent routing) Result: What used to take a web dev team 2-3 weeks now happens in 3-4 hours, completely automated. Want the full blueprint? Here are the steps: 1. Like & RT this post 2. Follow me so I can DM you 3. Comment 'BLUEPRINT' I'll send you an entire step-by-step video walkthrough & the full n8n workflow system for free (including all of the prompts). Let's get it.

David Roberts

54,877 просмотров • 9 месяцев назад

FREE GPT 5.5 API from a Chinese provider. I already farmed $520 in credits. Plug it directly into Hermes Agent or OpenClaw. > This is a Chinese proxy for OpenAI's official API - same models, same token pricing, same caching. GPT 5.5, Codex, the full stack. I found a way to farm credits through a Telegram bot and it still works. Here's the exact flow: → Go to on Telegram → subscribe to the channel → Join and complete the captcha (use the app, tap the first button) → Go back to the bot, grab your referral link → Invite 1 friend → you get an invite code → Register at with the invite code → Farm points: daily spins (+1-10 pts), each referral (+1/4 pt) → Redeem points for credits: $10 API = 1pt, $100 API = 5pts, $1000 API = 50pts → Create API key → select Codex/another GPT model → plug into Hermes Agent or OpenClaw Ready-made configs for Claude Code and OpenCode are in the "Use Key" section under API Keys. > I have $520 balance. Prices match official OpenAI rates. Caching works. Everything tested. // You can also use these points to buy a ChatGPT account or a subscription for your account. But they get blocked pretty quickly. USE THE API. // Nobody knows how long this lasts. Coupons have been restocked twice already. Move now.
0:34

FREE GPT 5.5 API from a Chinese provider. I already farmed $520 in credits. Plug it directly into Hermes Agent or OpenClaw. > This is a Chinese proxy for OpenAI's official API - same models, same token pricing, same caching. GPT 5.5, Codex, the full stack. I found a way to farm credits through a Telegram bot and it still works. Here's the exact flow: → Go to on Telegram → subscribe to the channel → Join and complete the captcha (use the app, tap the first button) → Go back to the bot, grab your referral link → Invite 1 friend → you get an invite code → Register at with the invite code → Farm points: daily spins (+1-10 pts), each referral (+1/4 pt) → Redeem points for credits: $10 API = 1pt, $100 API = 5pts, $1000 API = 50pts → Create API key → select Codex/another GPT model → plug into Hermes Agent or OpenClaw Ready-made configs for Claude Code and OpenCode are in the "Use Key" section under API Keys. > I have $520 balance. Prices match official OpenAI rates. Caching works. Everything tested. // You can also use these points to buy a ChatGPT account or a subscription for your account. But they get blocked pretty quickly. USE THE API. // Nobody knows how long this lasts. Coupons have been restocked twice already. Move now.

Atenov int.

65,251 просмотров • 1 месяц назад

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen
49:49

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen

Moon Dev

26,010 просмотров • 4 месяцев назад

🚨 SCANDAL IN TENNESSEE: How a PBM "Stole" $30,000,000 from Taxpayers 🚨 A bombshell audit by the Tennessee Department of Commerce and Insurance has just exposed the shady underbelly of Pharmacy Benefit Managers (PBMs). The target? Express Scripts. The findings are a wake-up call for anyone wondering why healthcare costs are spiraling while local pharmacies are disappearing. The Breakdown: 1. Favoritism & "Self-Dealing" 💊 The audit found that Express Scripts was paying its own pharmacies significantly more than independent ones for the exact same medications. Out of 2,318 drugs reviewed, Express Scripts played favorites on 568 of them. 2. The $30 Million "Spread" 💸 Ever heard of Spread Pricing? It’s when a PBM charges the state one price for a prescription but pays the pharmacy a much lower price—and pockets the difference. Tennessee was charged $30,000,000 in "spread" across 753,000 prescriptions. That’s an average of $40 per prescription "stolen" by the middleman. 3. Breaking Tennessee Law ⚖️ Tennessee law requires a minimum dispensing fee for low-volume pharmacies to keep them afloat. The audit found that in 100% of cases tested, Express Scripts failed to pay this fee. 4. A Broken Appeals Process 🚫 When pharmacies tried to appeal these violations, Express Scripts mismanaged the process 95% of the time. Essentially, they were the judge, jury, and executioner of their own rules. 📉 The Impact This isn't just about money—it's about the degradation of healthcare. When PBMs squeeze independent pharmacies and inflate costs, the patients and taxpayers are the ones who suffer. 💡 The Solution? The audit’s current recommendation? "Review your policies." (Yikes.) But there’s a better way. We are cutting out the middleman entirely to provide transparent, fair pricing that is often cheaper than using insurance. It’s time to fire the middleman.
2:15

🚨 SCANDAL IN TENNESSEE: How a PBM "Stole" $30,000,000 from Taxpayers 🚨 A bombshell audit by the Tennessee Department of Commerce and Insurance has just exposed the shady underbelly of Pharmacy Benefit Managers (PBMs). The target? Express Scripts. The findings are a wake-up call for anyone wondering why healthcare costs are spiraling while local pharmacies are disappearing. The Breakdown: 1. Favoritism & "Self-Dealing" 💊 The audit found that Express Scripts was paying its own pharmacies significantly more than independent ones for the exact same medications. Out of 2,318 drugs reviewed, Express Scripts played favorites on 568 of them. 2. The $30 Million "Spread" 💸 Ever heard of Spread Pricing? It’s when a PBM charges the state one price for a prescription but pays the pharmacy a much lower price—and pockets the difference. Tennessee was charged $30,000,000 in "spread" across 753,000 prescriptions. That’s an average of $40 per prescription "stolen" by the middleman. 3. Breaking Tennessee Law ⚖️ Tennessee law requires a minimum dispensing fee for low-volume pharmacies to keep them afloat. The audit found that in 100% of cases tested, Express Scripts failed to pay this fee. 4. A Broken Appeals Process 🚫 When pharmacies tried to appeal these violations, Express Scripts mismanaged the process 95% of the time. Essentially, they were the judge, jury, and executioner of their own rules. 📉 The Impact This isn't just about money—it's about the degradation of healthcare. When PBMs squeeze independent pharmacies and inflate costs, the patients and taxpayers are the ones who suffer. 💡 The Solution? The audit’s current recommendation? "Review your policies." (Yikes.) But there’s a better way. We are cutting out the middleman entirely to provide transparent, fair pricing that is often cheaper than using insurance. It’s time to fire the middleman.

Forest Park Pharmacy

18,678 просмотров • 5 месяцев назад

There's a whole laundry list of proofs that I find independently convincing, but if I had to pick just one single argument to hang my hat on for why I believe the Earth is flat and stationary, it is the STARS & PLANETS, and their paths in the sky from Earth's POV. How do you explain in the heliocentric model, how every star traces perfect circles around the North Star, and every PLANET traces perfect sacred geometrical patterns around the North Star as well? According to the heliocentric model of the solar system (1st video) all of these spinning ball planets in the Milky Way are orbiting the SUN, at different speeds and path circumferences, at distance ranges from 36 million to 2.8 billion miles away from us. The North Star, NASA tells us, is 2.5 QUADRILLION miles away. Now tell me how all of these independent Sun-orbiting planets would trace PERFECT patterns around the North Star for 6,000+ years of recorded history? Venus literally creates a PERFECT flower of life pattern, which we see appear in nature here on Earth as well. Get the f*ck out of here if you think that's just a fluke cosmic accident. Not to mention, EVERY SINGLE CONSTELLATION has remained the exact same in our sky for 6,000 years? Not a single one has appeared or disappeared, while the universe is supposedly expanding at countless millions of miles per hour? Remember, these are all of Earth's movement vectors we are supposedly experiencing as we soar through the infinitely-expanding void of space 👇 🫨 1,000 MPH spinning around Earth's axis 🫨 66,600 MPH flying around Sun 🫨 500,000 MPH flying through the galaxy 🫨 1,300,000 MPH entire galaxy flying through space 🫨 All while the entire universe is EXPANDING, speeding all of these vectors up and warping the directions in different/random ways 🫨 ALL OF THE STARS we see are flying in different directions too, at their own incomprehensible speeds And yet, the stars we see in the night sky have never changed. Ever. I'm sorry but the "it's parallax" response from the globers doesn't cut it for me - that sounds like a glaring example of starting with a pre-determined conclusion in mind, and making anything up in the middle in order to get to that conclusion. (I WILL GRANT HOWEVER, that at least the parallax effect is something we can visibly see and experience on the micro level—unlike "gravity"—so I will concede that it obviously exists. I just don't believe that it explains all of the above motions, distances, and perfection of consistency in the patterns created by the cosmology we observe). Every ounce of my common sense-trusting brain tells me that all of these insanely huge numbers are just brain-numbing nonsense to obfuscate away from the far-simpler truth: that NONE of these incomprehensible speeds/distances are even happening at all, and rather, the Earth is flat and stationary, and these unchanging constellations and planetary movements are indeed revolving around US. The North Star (Polaris) lies directly above the North Pole, and does not move. The stars and planets rotate around the North Star, above Earth. Just as it looks and feels. I dove into way more nuance on all of these concepts in the first 3 Parts of the 5-Part Flat Earth video series I made for my podcast, which I will link below. WATCH THOSE VIDEOS. And as always, if you have refuting points to share, please drop them in the comments below so we can discuss! #FlatEarth
0:33

There's a whole laundry list of proofs that I find independently convincing, but if I had to pick just one single argument to hang my hat on for why I believe the Earth is flat and stationary, it is the STARS & PLANETS, and their paths in the sky from Earth's POV. How do you explain in the heliocentric model, how every star traces perfect circles around the North Star, and every PLANET traces perfect sacred geometrical patterns around the North Star as well? According to the heliocentric model of the solar system (1st video) all of these spinning ball planets in the Milky Way are orbiting the SUN, at different speeds and path circumferences, at distance ranges from 36 million to 2.8 billion miles away from us. The North Star, NASA tells us, is 2.5 QUADRILLION miles away. Now tell me how all of these independent Sun-orbiting planets would trace PERFECT patterns around the North Star for 6,000+ years of recorded history? Venus literally creates a PERFECT flower of life pattern, which we see appear in nature here on Earth as well. Get the f*ck out of here if you think that's just a fluke cosmic accident. Not to mention, EVERY SINGLE CONSTELLATION has remained the exact same in our sky for 6,000 years? Not a single one has appeared or disappeared, while the universe is supposedly expanding at countless millions of miles per hour? Remember, these are all of Earth's movement vectors we are supposedly experiencing as we soar through the infinitely-expanding void of space 👇 🫨 1,000 MPH spinning around Earth's axis 🫨 66,600 MPH flying around Sun 🫨 500,000 MPH flying through the galaxy 🫨 1,300,000 MPH entire galaxy flying through space 🫨 All while the entire universe is EXPANDING, speeding all of these vectors up and warping the directions in different/random ways 🫨 ALL OF THE STARS we see are flying in different directions too, at their own incomprehensible speeds And yet, the stars we see in the night sky have never changed. Ever. I'm sorry but the "it's parallax" response from the globers doesn't cut it for me - that sounds like a glaring example of starting with a pre-determined conclusion in mind, and making anything up in the middle in order to get to that conclusion. (I WILL GRANT HOWEVER, that at least the parallax effect is something we can visibly see and experience on the micro level—unlike "gravity"—so I will concede that it obviously exists. I just don't believe that it explains all of the above motions, distances, and perfection of consistency in the patterns created by the cosmology we observe). Every ounce of my common sense-trusting brain tells me that all of these insanely huge numbers are just brain-numbing nonsense to obfuscate away from the far-simpler truth: that NONE of these incomprehensible speeds/distances are even happening at all, and rather, the Earth is flat and stationary, and these unchanging constellations and planetary movements are indeed revolving around US. The North Star (Polaris) lies directly above the North Pole, and does not move. The stars and planets rotate around the North Star, above Earth. Just as it looks and feels. I dove into way more nuance on all of these concepts in the first 3 Parts of the 5-Part Flat Earth video series I made for my podcast, which I will link below. WATCH THOSE VIDEOS. And as always, if you have refuting points to share, please drop them in the comments below so we can discuss! #FlatEarth

₿en Wehrman

11,940 просмотров • 3 месяцев назад