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Boobs work with a cunning cat! 😻❤️ Commission💋 🩷 Base model: DaB 🔉VA: No sound Also available on Patreon!🔞 #NSFW #rule34 #Cipher #CipherHSR #Hsr #HonkaiStarRail

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287,358 görüntüleme • 7 ay önce •via X (Twitter)

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The oath taking secret societies that run our world such as Freemasons, Skull and Bones Society, etc, all try to mimick the oath taken by the fallen on Mt. Hermon. At the base, there is a gate to hell, and the remnants of shrines and temples to pagan gods. At the top, not only are there also remnants of temples, there was a limestone Steele with an inscription found that of course is no longer available to the public. Full video on YouTube! ❤️
3:20

The oath taking secret societies that run our world such as Freemasons, Skull and Bones Society, etc, all try to mimick the oath taken by the fallen on Mt. Hermon. At the base, there is a gate to hell, and the remnants of shrines and temples to pagan gods. At the top, not only are there also remnants of temples, there was a limestone Steele with an inscription found that of course is no longer available to the public. Full video on YouTube! ❤️

Ashley Hays

49,481 görüntüleme • 8 ay önce

Introducing Lightning V3 - it beats every model we tested against. ElevenLabs, Cartesia, OpenAI. Lightning sets a new SOTA with V3 in conversational text-to-speech. → Highest MOS score for conversational TTS at 3.9 → ~76% win rate vs gpt-4o-mini-tts on naturalness → 15 languages with mid-sentence code-switching → Built from scratch for voice agents, not read-aloud Every TTS model sounds clean in a demo. You type a sentence and you get beautiful audio. Voice agents don't work that way. They stream. They're generating audio in real-time chunks with half the context missing. That's where everything breaks. A great reading voice and a great conversational voice are fundamentally different things. A conversational voice has to sound like it's thinking - with the pauses, the rhythm shifts, the reactions. It has to handle the way real people actually talk, including switching languages mid-sentence. That's what V3 does. V3.1 also ships voice cloning. 5 to 15 seconds of audio, no fine-tuning, production-grade clone across 15 languages. Blog link in the comments.
1:33

Introducing Lightning V3 - it beats every model we tested against. ElevenLabs, Cartesia, OpenAI. Lightning sets a new SOTA with V3 in conversational text-to-speech. → Highest MOS score for conversational TTS at 3.9 → ~76% win rate vs gpt-4o-mini-tts on naturalness → 15 languages with mid-sentence code-switching → Built from scratch for voice agents, not read-aloud Every TTS model sounds clean in a demo. You type a sentence and you get beautiful audio. Voice agents don't work that way. They stream. They're generating audio in real-time chunks with half the context missing. That's where everything breaks. A great reading voice and a great conversational voice are fundamentally different things. A conversational voice has to sound like it's thinking - with the pauses, the rhythm shifts, the reactions. It has to handle the way real people actually talk, including switching languages mid-sentence. That's what V3 does. V3.1 also ships voice cloning. 5 to 15 seconds of audio, no fine-tuning, production-grade clone across 15 languages. Blog link in the comments.

Sudarshan Kamath

71,298 görüntüleme • 5 ay önce

So we wanted to also share one last thing. One of the things we pride ourselves on is trying to get people to care about us soccer and the us national teams. In whatever form that takes our job is to help grow this fan base. As an example… We lost sound the entire game tonight at one of our parties and the fans stayed the entire 90 mins and anthems with no sound. Body to body singing the whole damn time. And our other watch party had a mile line long to get in. These things don’t just happen it takes a ton of work. So sometimes we will post things to try and get someone on the fence to go ok ya I want to go to that. And sometimes we will post other things. Tonight we were proud to be us soccer supporters.
0:22

So we wanted to also share one last thing. One of the things we pride ourselves on is trying to get people to care about us soccer and the us national teams. In whatever form that takes our job is to help grow this fan base. As an example… We lost sound the entire game tonight at one of our parties and the fans stayed the entire 90 mins and anthems with no sound. Body to body singing the whole damn time. And our other watch party had a mile line long to get in. These things don’t just happen it takes a ton of work. So sometimes we will post things to try and get someone on the fence to go ok ya I want to go to that. And sometimes we will post other things. Tonight we were proud to be us soccer supporters.

American Outlaws D.C.

58,501 görüntüleme • 2 ay önce

HOW TO SELL "SECOND BRAIN AS A SERVICE" FOR $5K + (FULL COURSE) The model: build businesses a structured knowledge base out of plain markdown files, then charge to maintain it. No fancy database, Obsidian, or RAG. It becomes the foundation for every other AI project you sell them afterward. A $750 audit turns into a $3,500 build turns into a client who keeps paying you to add more. Adam Sandler came on the pod and walked through the entire playbook live. Here's what I learned: 1. Lead with the knowledge base, not the agent. Every prospect wants a CFO agent. Nobody has the context to make one work. Solve "where does the info live?" first and you've teed up every future build. 2. Sell it with AI out of the pitch. "I'll organize all your scattered company knowledge into one living asset." Their files are everywhere and they hate it. That closes on its own. 3. Zero technical friction. Just markdown files on their machine. No signup, no vault, no vectors. Technical drop-off kills AI deals. This deletes it. 4. Seven note types are your starting schema. Snapshot, people, rules, project history, decisions, open loops, links. Walk in with this and you already have a point of view. 5. Find the spine. The one thing everything ladders up to. Usually their annual goals. 6. Portability is the pitch. Fable got pulled and everyone panicked. A knowledge base outside Anthropic or OpenAI plugs into any model. Sells itself. 7. Token savings close the enterprise. One source means you stop re-pasting context every session. Real money, especially with pay-as-you-go API pricing. 8. The audit is the tripwire. Charge to map where their knowledge lives, then roll the fee into the build. Half the build is already done. 9. Two skills run it on autopilot. Ingest pulls from Gmail, calendar, and CRM. Curate does a weekly cleanup pass. That's the flywheel. 10. The knowledge base tells you what to sell next. Ask it for the top 3 AI opportunities. It finds the gap ("inbound takes 22 hours") and the next build sells itself. His 2 key takeaways: 1. Build one for yourself first. One source of truth, built once, every tool connected. Live the unlock and you'll sell it with conviction. 2. Don't let startups scare you off. Off-the-shelf can't learn how your client's business works. That domain knowledge is the moat you charge for. Adam is quietly building one of the best AI service offers out there and we had a blast going deep on it. Go follow Adam Sandler Full video below. (Also available on the Build With AI podcast wherever you get your pods)
53:21

HOW TO SELL "SECOND BRAIN AS A SERVICE" FOR $5K + (FULL COURSE) The model: build businesses a structured knowledge base out of plain markdown files, then charge to maintain it. No fancy database, Obsidian, or RAG. It becomes the foundation for every other AI project you sell them afterward. A $750 audit turns into a $3,500 build turns into a client who keeps paying you to add more. Adam Sandler came on the pod and walked through the entire playbook live. Here's what I learned: 1. Lead with the knowledge base, not the agent. Every prospect wants a CFO agent. Nobody has the context to make one work. Solve "where does the info live?" first and you've teed up every future build. 2. Sell it with AI out of the pitch. "I'll organize all your scattered company knowledge into one living asset." Their files are everywhere and they hate it. That closes on its own. 3. Zero technical friction. Just markdown files on their machine. No signup, no vault, no vectors. Technical drop-off kills AI deals. This deletes it. 4. Seven note types are your starting schema. Snapshot, people, rules, project history, decisions, open loops, links. Walk in with this and you already have a point of view. 5. Find the spine. The one thing everything ladders up to. Usually their annual goals. 6. Portability is the pitch. Fable got pulled and everyone panicked. A knowledge base outside Anthropic or OpenAI plugs into any model. Sells itself. 7. Token savings close the enterprise. One source means you stop re-pasting context every session. Real money, especially with pay-as-you-go API pricing. 8. The audit is the tripwire. Charge to map where their knowledge lives, then roll the fee into the build. Half the build is already done. 9. Two skills run it on autopilot. Ingest pulls from Gmail, calendar, and CRM. Curate does a weekly cleanup pass. That's the flywheel. 10. The knowledge base tells you what to sell next. Ask it for the top 3 AI opportunities. It finds the gap ("inbound takes 22 hours") and the next build sells itself. His 2 key takeaways: 1. Build one for yourself first. One source of truth, built once, every tool connected. Live the unlock and you'll sell it with conviction. 2. Don't let startups scare you off. Off-the-shelf can't learn how your client's business works. That domain knowledge is the moat you charge for. Adam is quietly building one of the best AI service offers out there and we had a blast going deep on it. Go follow Adam Sandler Full video below. (Also available on the Build With AI podcast wherever you get your pods)

Corey Ganim

105,458 görüntüleme • 2 ay önce

The BOM has been misleading the public for over a decade now in regard to the homogenisation practices. When they changed Stevenson screens and thermometers they should have conducted parallel runs to work out the difference between the new equipment and old equipment. Instead they made up a mathematical model based on comparing results to neighbours hundreds of kilometres away. This model uses a supercomputer that can’t be audited. It now turns out that they are diverting millions of dollars away from actually recording weather observations to manipulating weather records as their lies start to unravel. It’s just more taxpayer money wasted on the altar of climate change by bureaucrats more interested in controlling you. And I quote: •••••••••••••••••••••••••••••••••••••••••••• “The Bureau of Meteorology has been using hundreds of millions of dollars granted specifically for “proactive” maintenance of its ageing weather observing system to prop up the agency’s deteriorating financial position and cover cost overruns on major technology rollouts. According to a scathing audit report, it has also failed to account for this money. The blistering assessment from the Australian National Audit Office (ANAO) has revealed an agency with missing plans or inexplicable broken promises. It is only meeting between 52 and 79 per cent of its own preventive maintenance targets and there are unresolved work orders on its live dashboards that are four years old. This is despite $225.6 million in additional funding being made available over three years from 2021-22, and $143.7 million each year after that, explicitly “to maintain a proactive asset maintenance schedule consistent with industry best practice”. Four years after receiving the significant new funding, the ANAO audit found, the weather bureau has not bothered to monitor or report on whether the money provided for maintenance is actually being spent on keeping its billion-dollar asset base in working order. “The Bureau advised the ANAO in July 2024 that ‘no progress update/reporting has been undertaken nor is regular reporting expected’ on the 2020-21 Federal Budget funding as ‘sustainability funding increases the Bureau’s overall base funding levels for capital and operating on an ongoing basis – it is not a discrete program of work’,” the audit says.” Quote from: #auspol
2:19

The BOM has been misleading the public for over a decade now in regard to the homogenisation practices. When they changed Stevenson screens and thermometers they should have conducted parallel runs to work out the difference between the new equipment and old equipment. Instead they made up a mathematical model based on comparing results to neighbours hundreds of kilometres away. This model uses a supercomputer that can’t be audited. It now turns out that they are diverting millions of dollars away from actually recording weather observations to manipulating weather records as their lies start to unravel. It’s just more taxpayer money wasted on the altar of climate change by bureaucrats more interested in controlling you. And I quote: •••••••••••••••••••••••••••••••••••••••••••• “The Bureau of Meteorology has been using hundreds of millions of dollars granted specifically for “proactive” maintenance of its ageing weather observing system to prop up the agency’s deteriorating financial position and cover cost overruns on major technology rollouts. According to a scathing audit report, it has also failed to account for this money. The blistering assessment from the Australian National Audit Office (ANAO) has revealed an agency with missing plans or inexplicable broken promises. It is only meeting between 52 and 79 per cent of its own preventive maintenance targets and there are unresolved work orders on its live dashboards that are four years old. This is despite $225.6 million in additional funding being made available over three years from 2021-22, and $143.7 million each year after that, explicitly “to maintain a proactive asset maintenance schedule consistent with industry best practice”. Four years after receiving the significant new funding, the ANAO audit found, the weather bureau has not bothered to monitor or report on whether the money provided for maintenance is actually being spent on keeping its billion-dollar asset base in working order. “The Bureau advised the ANAO in July 2024 that ‘no progress update/reporting has been undertaken nor is regular reporting expected’ on the 2020-21 Federal Budget funding as ‘sustainability funding increases the Bureau’s overall base funding levels for capital and operating on an ongoing basis – it is not a discrete program of work’,” the audit says.” Quote from: #auspol

Gerard Rennick

33,467 görüntüleme • 1 yıl önce

🧵 PART 2: PHYSICS PROVES THE TRUTH – Shooter on BA Building Roof, NOT Losee! FBI LYING to Frame Innocent Tyler Robinson! Remember Part 1? We color-analyzed the CRIMSON BLOOD pooling in Charlie Kirk's RIGHT EAR CANAL – matching the exit wound on his LEFT NECK. Entry confirmed. Now, physics seals it. Using ECHOLOCATION SOUND ANALYSIS (like bats triangulate prey), Gideon's team pinpointed the exact shooter's location on the BA BUILDING ROOF. Every phone has 2 microphones; So by using both stereo mics on the video it show sound waves hitting BOTH channels SIMULTANEOUSLY – this tells us the shooters direction: DEAD AT BA CORNER. Irrefutable! No way from the sound came from the Losee Bldg. Trajectory? The bullet's trajectory is EXACTLY 8.4° OFF HIS BACK (3 O'CLOCK), 22° ELEVATION. The Bullet Entered through his RIGHT EAR CANAL, EXITED out his NECK. Gideon's 3D model plots it PERFECTLY. That "flash"? NOT a muzzle flash – it's a VAPOR CLOUD as the bullet drops SUPERSONIC → SUBSONIC. Triangulated via reflections/windows/pink backpack that LINES UP EXACTLY on BA trajectory. 🔴IR laser on Frank Turek's phone? FROM BA sniper. 🔴Bullet captured mid-air on video? FROM BA sniper potion. 🔴Suspicious guy RUNNING post-shot? FROM BA sniper position. 🔴 Witnesses turning their heads to the left? towards towards the BA building. All eyes there IMMEDIATELY. Tyler? 100% a PATSY. Involved? Maybe. Shooter? IMPOSSIBLE – physics says NO. The shot was not taken from the Losee Bldg. FBI: Must DROP THE CASE! He's innocent – you're railroading a kid for the DEEP STATE? Gideon’s FULL SOUND ANALYSIS drops soon: Proving 2+ shooters via echoes/building reflections. MORE locations via physics. Follow & 🔔 ON – truth incoming! – This is IRREFUTABLE. Free Tyler NOW! TAG Candace Owens FBI and RT to SPREAD THE WORD! Who's with us? 🔥 Special Shoutout to My Guest WeAreNotGoingToMars and Gideon Jacobs also special thanks to Audio:Freq Studios who work with Gideon as a team to put together the Sound analysis for us pinpointing the location of the shooter. Please go FOLLOW all these guys as they are doing tremendous work on the CK case. Lastly Be sure to checkout PART 1 which is attached below this one for the whole perspective. 👇
47:25

🧵 PART 2: PHYSICS PROVES THE TRUTH – Shooter on BA Building Roof, NOT Losee! FBI LYING to Frame Innocent Tyler Robinson! Remember Part 1? We color-analyzed the CRIMSON BLOOD pooling in Charlie Kirk's RIGHT EAR CANAL – matching the exit wound on his LEFT NECK. Entry confirmed. Now, physics seals it. Using ECHOLOCATION SOUND ANALYSIS (like bats triangulate prey), Gideon's team pinpointed the exact shooter's location on the BA BUILDING ROOF. Every phone has 2 microphones; So by using both stereo mics on the video it show sound waves hitting BOTH channels SIMULTANEOUSLY – this tells us the shooters direction: DEAD AT BA CORNER. Irrefutable! No way from the sound came from the Losee Bldg. Trajectory? The bullet's trajectory is EXACTLY 8.4° OFF HIS BACK (3 O'CLOCK), 22° ELEVATION. The Bullet Entered through his RIGHT EAR CANAL, EXITED out his NECK. Gideon's 3D model plots it PERFECTLY. That "flash"? NOT a muzzle flash – it's a VAPOR CLOUD as the bullet drops SUPERSONIC → SUBSONIC. Triangulated via reflections/windows/pink backpack that LINES UP EXACTLY on BA trajectory. 🔴IR laser on Frank Turek's phone? FROM BA sniper. 🔴Bullet captured mid-air on video? FROM BA sniper potion. 🔴Suspicious guy RUNNING post-shot? FROM BA sniper position. 🔴 Witnesses turning their heads to the left? towards towards the BA building. All eyes there IMMEDIATELY. Tyler? 100% a PATSY. Involved? Maybe. Shooter? IMPOSSIBLE – physics says NO. The shot was not taken from the Losee Bldg. FBI: Must DROP THE CASE! He's innocent – you're railroading a kid for the DEEP STATE? Gideon’s FULL SOUND ANALYSIS drops soon: Proving 2+ shooters via echoes/building reflections. MORE locations via physics. Follow & 🔔 ON – truth incoming! – This is IRREFUTABLE. Free Tyler NOW! TAG Candace Owens FBI and RT to SPREAD THE WORD! Who's with us? 🔥 Special Shoutout to My Guest WeAreNotGoingToMars and Gideon Jacobs also special thanks to Audio:Freq Studios who work with Gideon as a team to put together the Sound analysis for us pinpointing the location of the shooter. Please go FOLLOW all these guys as they are doing tremendous work on the CK case. Lastly Be sure to checkout PART 1 which is attached below this one for the whole perspective. 👇

Project Constitution

64,583 görüntüleme • 10 ay önce

WATCH ME BUILD AN AI BUSINESS FROM SCRATCH (EPISODE 1) I'm building an AI services business from scratch, on camera, with 4 rules: -100% cold outreach -No audience -No network -60 minutes a day max The scoreboard is how many days it takes a total stranger to pay me $500. Here's the entire model: 1) The niche is tree services in Charlotte. High ticket, no private equity, and after-hours emergencies where the first person to answer wins the job. 2) The offer: a built and hosted website, an AI-powered speed-to-quote form, and a Google Business Profile cleanup. $500 flat. 3) The website IS the lead magnet. We build it first, give it away free, and charge $500 to install and host it. 4) Five agents inside Hyperagent run everything. Prospector, Opener, Sitesmith, Fulfiller, and an Account Manager upsell. 5) The Prospector dispatched 8 subagents, scraped 494 businesses, and verified 98 real leads. Done in 30 minutes. 6) The competition is a joke. The first five "websites" on my list: a blank page, a 404, two dead links, and a redirect to a crypto gaming site. 7) First-touch texts: under 160 characters, no links, no emojis, no mention of AI. "Hey, do y'all still do tree removal in Charlotte? Found you on Google. Corey." 8) The agent wrote "y'all" on its own. Sounding like a neighbor, not a company, is the whole reply-rate game. 9) 60 minutes a day covers 25-50 outreach attempts. Outreach is the only work that actually makes money. 10) All 5 agents get given away free in episode 4, plus $1,000 in free Hyperagent credits at the link in the YouTube subscription. Enough to run my entire lead scrape 6 times over. Two things that I'm looking to accomplish here: 1) Strip away every advantage and prove the model still works. If it works with no audience and one hour a day, nobody has an excuse left. 2) Give away the finished deliverable, not a pitch. An owner looking at their own new website doesn't need convincing. Full breakdown below. (also available on the Build With AI podcast)
43:54

WATCH ME BUILD AN AI BUSINESS FROM SCRATCH (EPISODE 1) I'm building an AI services business from scratch, on camera, with 4 rules: -100% cold outreach -No audience -No network -60 minutes a day max The scoreboard is how many days it takes a total stranger to pay me $500. Here's the entire model: 1) The niche is tree services in Charlotte. High ticket, no private equity, and after-hours emergencies where the first person to answer wins the job. 2) The offer: a built and hosted website, an AI-powered speed-to-quote form, and a Google Business Profile cleanup. $500 flat. 3) The website IS the lead magnet. We build it first, give it away free, and charge $500 to install and host it. 4) Five agents inside Hyperagent run everything. Prospector, Opener, Sitesmith, Fulfiller, and an Account Manager upsell. 5) The Prospector dispatched 8 subagents, scraped 494 businesses, and verified 98 real leads. Done in 30 minutes. 6) The competition is a joke. The first five "websites" on my list: a blank page, a 404, two dead links, and a redirect to a crypto gaming site. 7) First-touch texts: under 160 characters, no links, no emojis, no mention of AI. "Hey, do y'all still do tree removal in Charlotte? Found you on Google. Corey." 8) The agent wrote "y'all" on its own. Sounding like a neighbor, not a company, is the whole reply-rate game. 9) 60 minutes a day covers 25-50 outreach attempts. Outreach is the only work that actually makes money. 10) All 5 agents get given away free in episode 4, plus $1,000 in free Hyperagent credits at the link in the YouTube subscription. Enough to run my entire lead scrape 6 times over. Two things that I'm looking to accomplish here: 1) Strip away every advantage and prove the model still works. If it works with no audience and one hour a day, nobody has an excuse left. 2) Give away the finished deliverable, not a pitch. An owner looking at their own new website doesn't need convincing. Full breakdown below. (also available on the Build With AI podcast)

Corey Ganim

39,572 görüntüleme • 29 gün önce

Web3 should be paying attention to Cash App’s play to earn game. This is literally play to earn CASH 💸 And it exposes a few uncomfortable truths about our industry: - The direction is right. People clearly want games where they can earn. - We have a distribution problem. Cash App has 60M users. Most Web3 games have none. - We have a marketing problem. The idea is good, but we’ve struggled to reach the mainstream. Their model is also different. Cash App already makes money from its digital banking services, and they already have a massive user base. That allows them to redirect part of their marketing budget into a game instead of something like a Super Bowl ad. So in a way, the rewards are simply a different form of marketing spend. New games don’t have that advantage. They first have to build a user base, generate revenue, and then distribute rewards. That’s a much harder path. I also think Web3 has failed to push the boundaries. How is it that no Web3 game has meaningfully partnered with a CEX, DEX, prediction market, or perpetual exchange? I’ve been saying this for a long time: DeFi platforms are the best distribution layer for games. Protocols like Uniswap already have: - millions of users - constant on chain activity - strong fee generating business models That means they can easily fund prize pools or reward systems, the same way Cash App can fund rewards from its banking fees. Instead of relying purely on token emissions, games could plug into existing financial platforms with real revenue and real users. The opportunity has been there for years. Web3 just hasn’t pushed the boundaries enough. Let's stop stealing the VC money and get to work!
0:33

Web3 should be paying attention to Cash App’s play to earn game. This is literally play to earn CASH 💸 And it exposes a few uncomfortable truths about our industry: - The direction is right. People clearly want games where they can earn. - We have a distribution problem. Cash App has 60M users. Most Web3 games have none. - We have a marketing problem. The idea is good, but we’ve struggled to reach the mainstream. Their model is also different. Cash App already makes money from its digital banking services, and they already have a massive user base. That allows them to redirect part of their marketing budget into a game instead of something like a Super Bowl ad. So in a way, the rewards are simply a different form of marketing spend. New games don’t have that advantage. They first have to build a user base, generate revenue, and then distribute rewards. That’s a much harder path. I also think Web3 has failed to push the boundaries. How is it that no Web3 game has meaningfully partnered with a CEX, DEX, prediction market, or perpetual exchange? I’ve been saying this for a long time: DeFi platforms are the best distribution layer for games. Protocols like Uniswap already have: - millions of users - constant on chain activity - strong fee generating business models That means they can easily fund prize pools or reward systems, the same way Cash App can fund rewards from its banking fees. Instead of relying purely on token emissions, games could plug into existing financial platforms with real revenue and real users. The opportunity has been there for years. Web3 just hasn’t pushed the boundaries enough. Let's stop stealing the VC money and get to work!

cagy | youtube/cagyjan

12,399 görüntüleme • 5 ay önce

So much of what's circulating about MGSΔ on the internet is unreasonable and unfair. The treatment of the game is really strange and unfair, and I'm going to show you another letter of nobility from the development team that NO ONE has noticed since the game's release in August 2025. No one has mentioned it on Twitter, YouTube, Reddit, etc., yet I have rarely seen anything so respectful. MGSΔ is also a remake that keeps a low profile on the internet, is sometimes ashamed of its subtle additions and improvements, and has HUGE respect for the main MGS3 development team. MGSΔ is also a remake that “hides” its credits in favor of the classic MGS3 credits at the end of the game with Starsailor's iconic theme “Way to Fall,” choosing sobriety and humility when it comes to the development team that worked on MGSΔ. In fact, there are more than 10 minutes of credits for the remake available in the “EXTRA” menu of MGSΔ, presenting the staff working on this project, with a new and already legendary orchestration by Naoki Nakashima that fits perfectly with the Metal Gear universe. Given the considerable work involved, the decision to put this in second place and leave the original MGS3 credits (from the original team) is once again a sign of great respect on the part of the development team. That's not all. From the introduction onwards, the game presents itself as “based on MGS3.” With no mention of the current staff, but rather the “Original” staff (introduction) with their names highlighted. As far as I can remember, no remake project has ever done this in the world of video games. Voluntarily stepping aside to continue promoting the original team, saying (Okamura) “Keep us honest” (for the future of MG) is incredible proof of respect for the saga. Okamura and the development team reading hate messages from angry “fans” on Metal Gear Hotline was also a powerful and painful moment to watch. Okamura also said that he would like to work with Hideo Kojima again in the future. At what point can we say that this is not sincere? I just don't understand. Yet we still see insults, people saying that the game doesn't respect Kojima, and a community divided in two. We also have misinformation, sometimes deliberate by some media (the release of MGSVOL1 saying that the credits did not mention Hideo Kojima), and questionable omissions of the game from major video game events for important titles such as sound design and best remake... I wonder how long this “targeting” of Konami will continue, because OBJECTIVELY, there is a genuine desire to do well. Admittedly, there was a difficult start with performance issues in certain parts of the game (which have been fixed) and a misstep with FOX HUNT, but the game does not deserve the hatred we see everywhere. If we want to see METAL GEAR continue, we need to soften our judgment and trust them. Fortunately, Delta's sales were good and the series will be able to continue evolving, but I still have a slight fear for the future... Because there is always strange hostility on the internet. Sorry if this tweet was a bit long, but it had to be said.
10:45

So much of what's circulating about MGSΔ on the internet is unreasonable and unfair. The treatment of the game is really strange and unfair, and I'm going to show you another letter of nobility from the development team that NO ONE has noticed since the game's release in August 2025. No one has mentioned it on Twitter, YouTube, Reddit, etc., yet I have rarely seen anything so respectful. MGSΔ is also a remake that keeps a low profile on the internet, is sometimes ashamed of its subtle additions and improvements, and has HUGE respect for the main MGS3 development team. MGSΔ is also a remake that “hides” its credits in favor of the classic MGS3 credits at the end of the game with Starsailor's iconic theme “Way to Fall,” choosing sobriety and humility when it comes to the development team that worked on MGSΔ. In fact, there are more than 10 minutes of credits for the remake available in the “EXTRA” menu of MGSΔ, presenting the staff working on this project, with a new and already legendary orchestration by Naoki Nakashima that fits perfectly with the Metal Gear universe. Given the considerable work involved, the decision to put this in second place and leave the original MGS3 credits (from the original team) is once again a sign of great respect on the part of the development team. That's not all. From the introduction onwards, the game presents itself as “based on MGS3.” With no mention of the current staff, but rather the “Original” staff (introduction) with their names highlighted. As far as I can remember, no remake project has ever done this in the world of video games. Voluntarily stepping aside to continue promoting the original team, saying (Okamura) “Keep us honest” (for the future of MG) is incredible proof of respect for the saga. Okamura and the development team reading hate messages from angry “fans” on Metal Gear Hotline was also a powerful and painful moment to watch. Okamura also said that he would like to work with Hideo Kojima again in the future. At what point can we say that this is not sincere? I just don't understand. Yet we still see insults, people saying that the game doesn't respect Kojima, and a community divided in two. We also have misinformation, sometimes deliberate by some media (the release of MGSVOL1 saying that the credits did not mention Hideo Kojima), and questionable omissions of the game from major video game events for important titles such as sound design and best remake... I wonder how long this “targeting” of Konami will continue, because OBJECTIVELY, there is a genuine desire to do well. Admittedly, there was a difficult start with performance issues in certain parts of the game (which have been fixed) and a misstep with FOX HUNT, but the game does not deserve the hatred we see everywhere. If we want to see METAL GEAR continue, we need to soften our judgment and trust them. Fortunately, Delta's sales were good and the series will be able to continue evolving, but I still have a slight fear for the future... Because there is always strange hostility on the internet. Sorry if this tweet was a bit long, but it had to be said.

Outsider Snake

33,068 görüntüleme • 8 ay önce

An exciting new course: Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-training, taught by Sharon Zhou, VP of AI at AMD. Available now at Post-training is the key technique used by frontier labs to turn a base LLM--a model trained on massive unlabeled text to predict the next word/token--into a helpful, reliable assistant that can follow instructions. I've also seen many applications where post-training is what turns a demo application that works only 80% of the time into a reliable system that consistently performs. This course will teach you the most important post-training techniques! In this 5 module course, Sharon walks you through the complete post-training pipeline: supervised fine-tuning, reward modeling, RLHF, and techniques like PPO and GRPO. You'll also learn to use LoRA for efficient training, and to design evals that catch problems before and after deployment. Skills you'll gain: - Apply supervised fine-tuning and reinforcement learning (RLHF, PPO, GRPO) to align models to desired behaviors - Use LoRA for efficient fine-tuning without retraining entire models - Prepare datasets and generate synthetic data for post-training - Understand how to operate LLM production pipelines, with go/no-go decision points and feedback loops These advanced methods aren’t limited to frontier AI labs anymore, and you can now use them in your own applications. Learn here:
2:27

An exciting new course: Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-training, taught by Sharon Zhou, VP of AI at AMD. Available now at Post-training is the key technique used by frontier labs to turn a base LLM--a model trained on massive unlabeled text to predict the next word/token--into a helpful, reliable assistant that can follow instructions. I've also seen many applications where post-training is what turns a demo application that works only 80% of the time into a reliable system that consistently performs. This course will teach you the most important post-training techniques! In this 5 module course, Sharon walks you through the complete post-training pipeline: supervised fine-tuning, reward modeling, RLHF, and techniques like PPO and GRPO. You'll also learn to use LoRA for efficient training, and to design evals that catch problems before and after deployment. Skills you'll gain: - Apply supervised fine-tuning and reinforcement learning (RLHF, PPO, GRPO) to align models to desired behaviors - Use LoRA for efficient fine-tuning without retraining entire models - Prepare datasets and generate synthetic data for post-training - Understand how to operate LLM production pipelines, with go/no-go decision points and feedback loops These advanced methods aren’t limited to frontier AI labs anymore, and you can now use them in your own applications. Learn here:

Andrew Ng

132,304 görüntüleme • 10 ay önce

🚨WATCH THIS. SOUND ON🔉 2yrs, 7 drafts & 125,000 words later, The Bushido of Bitcoin is finally available for pre-order. Writing this book has been a journey, and the process literally transformed my understanding of the world. This is NOT another history of money or economic justification for Bitcoin. Been there, done that. This is a book about virtue, excellence, culture and behaviour, which asks the harder questions: What becomes of those who rise to the top, in the new socio-economic paradigm? Will they become: --> A new kind of parasite? --> Another bunch of degenerate? Or --> Men & women of virtue. It’s not enough to just say “Bitcoin Fixes This.” We must do something about it. ____________________ The age of fiat will not last. A new era will take its place. The question is, who will lay claim to it? IMO: those who understand, that a new age, demands a new way of being. A new paradigm requires a new code, (a Bushido), that’s more vital, powerful and ascendant. The Bushido of Bitcoin is that playbook. ____________________ This is my attempt to synthesise the best of what I’ve found in both the dissident grass-roots right and philosophy-centric bitcoin domain. Some of you may be familiar with each other, but many of you will not. I hope this opens some doors and helps form a powerful alliance against the goblins and trolls running the world today. ____________________ I'd like to thank a few people who helped and/or inspired me along the way. (This is a good follow list, so take note) John Carter - the best editor and intellectual sparring partner I could’ve asked for. Also one of the best writers you'll come across. The book is not only twice as long but 10x better since you got involved and pushed me. Thankyou. Ross Stevens - Thankyou for your support, for agreeing to write the foreword and most importantly, for being a modern day Cosimo de Medici. You are a true Renaissance man. Saifedean Ammous - your work and integrity continue to inspire. You are of the rare few Austrians on earth today with the courage and fortitude to blaze a new trail. Uberboyo - your holistic view of the world and profound takes on Neech, Jung & the vital European soul were inspiring along the way. Jash Dholani - you revealed new rabbit holes for me to venture down with your brilliant coverage and ability to extract wisdom from the old books. You are quoted throughout. Chad Crowley - your eloquent micro-essays on X inspired a number of sections in the book, particular in relation to Nietzsche’s work. You have an understanding of him that few others can match. Jerr - your work on manhood, frame and masculine psychology is the very best in the world & you are quoted throughout. John Vallis & Robert ₿reedlove - our conversations over the years helped me synthesise & sharpen many of the ideas contained within. Parker Lewis & allen farrington - your work on Bitcoin is the only work I reference and point people to if they want the economic argument for Bitcoin. There are of course many others. Finally - a shout out to H E L I Λ И D 🦅 . Working with you on this trailer was a blast. You are a true magician. Reach out to this man if you want the best in video work. And shoutout to DOS BRAINS for the music. Incredibly powerful, and I hope this trailer has done you justice. ____________________ You can pre-order the book NOW on Geyser - along with some limited edition variants that once sold out, are sold out forever.
2:42

🚨WATCH THIS. SOUND ON🔉 2yrs, 7 drafts & 125,000 words later, The Bushido of Bitcoin is finally available for pre-order. Writing this book has been a journey, and the process literally transformed my understanding of the world. This is NOT another history of money or economic justification for Bitcoin. Been there, done that. This is a book about virtue, excellence, culture and behaviour, which asks the harder questions: What becomes of those who rise to the top, in the new socio-economic paradigm? Will they become: --> A new kind of parasite? --> Another bunch of degenerate? Or --> Men & women of virtue. It’s not enough to just say “Bitcoin Fixes This.” We must do something about it. ____________________ The age of fiat will not last. A new era will take its place. The question is, who will lay claim to it? IMO: those who understand, that a new age, demands a new way of being. A new paradigm requires a new code, (a Bushido), that’s more vital, powerful and ascendant. The Bushido of Bitcoin is that playbook. ____________________ This is my attempt to synthesise the best of what I’ve found in both the dissident grass-roots right and philosophy-centric bitcoin domain. Some of you may be familiar with each other, but many of you will not. I hope this opens some doors and helps form a powerful alliance against the goblins and trolls running the world today. ____________________ I'd like to thank a few people who helped and/or inspired me along the way. (This is a good follow list, so take note) John Carter - the best editor and intellectual sparring partner I could’ve asked for. Also one of the best writers you'll come across. The book is not only twice as long but 10x better since you got involved and pushed me. Thankyou. Ross Stevens - Thankyou for your support, for agreeing to write the foreword and most importantly, for being a modern day Cosimo de Medici. You are a true Renaissance man. Saifedean Ammous - your work and integrity continue to inspire. You are of the rare few Austrians on earth today with the courage and fortitude to blaze a new trail. Uberboyo - your holistic view of the world and profound takes on Neech, Jung & the vital European soul were inspiring along the way. Jash Dholani - you revealed new rabbit holes for me to venture down with your brilliant coverage and ability to extract wisdom from the old books. You are quoted throughout. Chad Crowley - your eloquent micro-essays on X inspired a number of sections in the book, particular in relation to Nietzsche’s work. You have an understanding of him that few others can match. Jerr - your work on manhood, frame and masculine psychology is the very best in the world & you are quoted throughout. John Vallis & Robert ₿reedlove - our conversations over the years helped me synthesise & sharpen many of the ideas contained within. Parker Lewis & allen farrington - your work on Bitcoin is the only work I reference and point people to if they want the economic argument for Bitcoin. There are of course many others. Finally - a shout out to H E L I Λ И D 🦅 . Working with you on this trailer was a blast. You are a true magician. Reach out to this man if you want the best in video work. And shoutout to DOS BRAINS for the music. Incredibly powerful, and I hope this trailer has done you justice. ____________________ You can pre-order the book NOW on Geyser - along with some limited edition variants that once sold out, are sold out forever.

Svetski

283,280 görüntüleme • 2 yıl önce

I'm making over $10K a month selling AI services. I got there in under a year with a three-stage model: a free assessment, a paid assessment, and an AI Concierge retainer. My lowest paying client is $1,200 a month. My highest is $2,000. Here's the entire model: 1) Stage one: a free 15-minute mini assessment. One pain point, one prescribed fix. Do 1 to 3 max, purely for testimonials. 2) Stage two: the paid assessment. 45 minutes, 3 to 7 opportunities scored on effort vs impact, sold for $1,000 to $2,000. (I open sourced my paid assessment template. It's yours (free) at 3) Do the ROI math in their words. $250 an hour times 5 hours a week in email is $1,250 a week. Cut it to 1 hour and they can't argue. 4) Stage three: AI Concierge. Two 45-minute calls a month at $1,000 to $2,000. That's $750 to $1,250 an hour. 5) Add unlimited Voxer access. Feels like an AI expert in their pocket, so they pay top dollar. They barely use it. 6) Every call runs AOA: Audit, Optimize, Automate. Cut the 14-step process to 11, then turn it into a Claude skill. 7) Standardize on one ecosystem. Everything runs in Claude Cowork building Claude skills. No custom stack per client, no vendor lock-in. 8) Target owner-led service businesses doing $3M to $10M. Repetitive work, visible bottlenecks, real budget. 9) Your first client is in your phone. Text 10 business owners you know. 10 texts equals 5 to 6 free assessments, 2 to 3 paid, 1 concierge client. 10) Raise your price $250 with every yes. My next client won't be under $2,500 a month. Two things that make this work: 1) Boundaries are the offer. Free stops at the roadmap, concierge stops at two calls. Everything else is billed separately. 2) Every stage sells the next one. The free assessment promises seven more fixes. The paid report walkthrough pitches the retainer. Full breakdown below. (also available on the Build With AI podcast wherever you get your pods)
28:23

I'm making over $10K a month selling AI services. I got there in under a year with a three-stage model: a free assessment, a paid assessment, and an AI Concierge retainer. My lowest paying client is $1,200 a month. My highest is $2,000. Here's the entire model: 1) Stage one: a free 15-minute mini assessment. One pain point, one prescribed fix. Do 1 to 3 max, purely for testimonials. 2) Stage two: the paid assessment. 45 minutes, 3 to 7 opportunities scored on effort vs impact, sold for $1,000 to $2,000. (I open sourced my paid assessment template. It's yours (free) at 3) Do the ROI math in their words. $250 an hour times 5 hours a week in email is $1,250 a week. Cut it to 1 hour and they can't argue. 4) Stage three: AI Concierge. Two 45-minute calls a month at $1,000 to $2,000. That's $750 to $1,250 an hour. 5) Add unlimited Voxer access. Feels like an AI expert in their pocket, so they pay top dollar. They barely use it. 6) Every call runs AOA: Audit, Optimize, Automate. Cut the 14-step process to 11, then turn it into a Claude skill. 7) Standardize on one ecosystem. Everything runs in Claude Cowork building Claude skills. No custom stack per client, no vendor lock-in. 8) Target owner-led service businesses doing $3M to $10M. Repetitive work, visible bottlenecks, real budget. 9) Your first client is in your phone. Text 10 business owners you know. 10 texts equals 5 to 6 free assessments, 2 to 3 paid, 1 concierge client. 10) Raise your price $250 with every yes. My next client won't be under $2,500 a month. Two things that make this work: 1) Boundaries are the offer. Free stops at the roadmap, concierge stops at two calls. Everything else is billed separately. 2) Every stage sells the next one. The free assessment promises seven more fixes. The paid report walkthrough pitches the retainer. Full breakdown below. (also available on the Build With AI podcast wherever you get your pods)

Corey Ganim

59,298 görüntüleme • 14 gün önce

FLOKI TRADING BOT IS OFFICIALLY LIVE ON MAINNET Floki Trading Bot is the fastest and simplest way to buy and manage tokens — directly from Telegram — without having to deal with slow DEXs, transaction confirmation delays, or slippage issues that cost you money. Often, this could mean the difference between making a mere 1x or a 5x on the same trade. Floki Trading Bot is initially launching on the mainnet of the three biggest EVM chains: BNB, Ethereum, and Base. It is also set to go live on Solana and other top EVM chains soon! You can learn more here: Some of the key features of the Floki Trading Bot include: - Super fast token purchases in a few taps/seconds on any device directly from your Telegram app. - Easily buy hyped tokens/launches in a few taps without having to deal with slow DEXs. You can also buy tokens very quickly based on important news/announcements i.e. faster than it takes the average person to load their browser. This gives you a MASSIVE edge over others! - Multi-chain support i.e. you can seamlessly buy tokens across several different blockchains all in one place. - Multi-language support allows you to use the bot in your native language: supported languages include English, simplified Chinese, traditional Chinese, Turkish, Russian, Indonesian, Spanish, Dutch & more to come. - Seamless integration with top DEX aggregators to ensure you get the best token prices. - Create up to 5 wallets. You can create/export/delete up to 5 wallets. - Easily withdraw funds from the bot to third party wallets e.g. CEXs or on-chain wallets. - Referral program allows you to refer your friends and earn a commission whenever they trade through Floki Trading Bot. - And a lot more... In addition to the above key features, you can also unlock EXCLUSIVE rewards by using Floki Trading Bot. This includes airdrops, trading incentives, and special deals exclusive to Floki Trading Bot users. This is due to Floki's strong dominance in the industry which allows us to bring strong value to users of the Floki Trading Bot. For example, the most anticipated memecoin launch of this year, Simon's Cat, allocated 1.5% of their token supply EXCLUSIVELY to Floki Trading Bot users who trade their token with Floki Trading Bot. No other bot in the industry got this opportunity, and it's just one of the many exclusive rewards we have planned for users of the Floki Trading Bot! You can learn more about Floki Trading Bot here:
0:59

FLOKI TRADING BOT IS OFFICIALLY LIVE ON MAINNET Floki Trading Bot is the fastest and simplest way to buy and manage tokens — directly from Telegram — without having to deal with slow DEXs, transaction confirmation delays, or slippage issues that cost you money. Often, this could mean the difference between making a mere 1x or a 5x on the same trade. Floki Trading Bot is initially launching on the mainnet of the three biggest EVM chains: BNB, Ethereum, and Base. It is also set to go live on Solana and other top EVM chains soon! You can learn more here: Some of the key features of the Floki Trading Bot include: - Super fast token purchases in a few taps/seconds on any device directly from your Telegram app. - Easily buy hyped tokens/launches in a few taps without having to deal with slow DEXs. You can also buy tokens very quickly based on important news/announcements i.e. faster than it takes the average person to load their browser. This gives you a MASSIVE edge over others! - Multi-chain support i.e. you can seamlessly buy tokens across several different blockchains all in one place. - Multi-language support allows you to use the bot in your native language: supported languages include English, simplified Chinese, traditional Chinese, Turkish, Russian, Indonesian, Spanish, Dutch & more to come. - Seamless integration with top DEX aggregators to ensure you get the best token prices. - Create up to 5 wallets. You can create/export/delete up to 5 wallets. - Easily withdraw funds from the bot to third party wallets e.g. CEXs or on-chain wallets. - Referral program allows you to refer your friends and earn a commission whenever they trade through Floki Trading Bot. - And a lot more... In addition to the above key features, you can also unlock EXCLUSIVE rewards by using Floki Trading Bot. This includes airdrops, trading incentives, and special deals exclusive to Floki Trading Bot users. This is due to Floki's strong dominance in the industry which allows us to bring strong value to users of the Floki Trading Bot. For example, the most anticipated memecoin launch of this year, Simon's Cat, allocated 1.5% of their token supply EXCLUSIVELY to Floki Trading Bot users who trade their token with Floki Trading Bot. No other bot in the industry got this opportunity, and it's just one of the many exclusive rewards we have planned for users of the Floki Trading Bot! You can learn more about Floki Trading Bot here:

FLOKI

281,441 görüntüleme • 2 yıl önce

#Shibarium #Poker Tournament- January 7th, 2024 1:00 PM EST We are playing a private poker tournament with a password that we will play via the ClubGG poker platform. The app is available to download on google play store and apple store for mobile phones only and no wallet connection is necessary, only an email address is required to play! Registration opening: -January 4th -1:00 PM EST --PASSWORD: Shibizen 🚨remember, you won't get into the game without the password😉🚨 Tournament start: -January 7th -1:00PM EST No buy-in, it's completely free to play, no re-entry possible, once you're eliminated there's no going back!! It is played in knock out mode with a maximum of 7 players per table, with betting blinds that progress higher during the match 🚨🚨If you are eliminated at the table, the app will tell you which rank you have achieved, and you have to take a screenshot of this to collect your prize. You can also check tournament history to see rank achieved. Please provide both screenshots 📸proof of screenshot📸 without this no prize can be paid out to avoid Impersonators🚨🚨 Prizes: The communities around Shibarium have donated prizes that are collectively worth around $2k The prizes were donated by the communities and are also given out by the communities, the organizers have no responsibility for the projects so #dyor is of course necessary and we recommend creating your own wallet for each prize (multiple prizes possible) The prizes will be issued mainly on Shibarium and a few on Ethereum blockchain, although we only issue the prizes on Ethereum in conjunction with Shibarium prizes to make sure that you also have Shibarium on your wallet😉 We recommend installing Metamask wallet, Shib-RPC network can be easily integrated quickly with information from the Shib website - Registration will start on Thursday, January 4th, 2024 at 1:00 PM EST, and we will hold a space on X at that time We will pick one lucky person to win 5million #shib on Shibarium at the Space, stay tuned What will you experience in this space? We will announce the prizes and have a short chat with the communities that support us and made this tournament possible. Last but not least, we would like to introduce you to all the communities that helped to support us during the event planning along with providing awesome prizes for the #shibarmy ! We are infinitely grateful to be able to work with you and are very proud that so many are involved and working together to help guide the way for Shibarium to become the foundation of our web3 digital state Afterwards, all projects will briefly introduce themselves and explain to you who they are and how you can collect the prizes from these communities that you win while playing poker But now the curtain is raised for the heroes of this great event! Shups :Shibarium Pups @Xghosty_shib SHIBA SQUAD NFT 🪖 PunkApes 🍌 Shibarium BONEWHALE @_Cryptiq Shib CoOp - Land Community & Builders Tutti Frutti Women| Live on Base SHIBASPARK⚡️ Sharbae NFT Shibacals Collaboration Studio @beastshibarium @metabet_ Zombium @ShibTech Mantra Protocol | Minting *Teh Toros* in Shibarium Shibarium Pixel Pups @MARSWAP1 @ShibWalkToken MOJO Chewy Sharbi @Aeon_Shib Idiotoshi 🦦Former ShibaPunkz Eternal Night Designs Artwork by Unrealcow Special thanks to LAGOJOE
0:51

#Shibarium #Poker Tournament- January 7th, 2024 1:00 PM EST We are playing a private poker tournament with a password that we will play via the ClubGG poker platform. The app is available to download on google play store and apple store for mobile phones only and no wallet connection is necessary, only an email address is required to play! Registration opening: -January 4th -1:00 PM EST --PASSWORD: Shibizen 🚨remember, you won't get into the game without the password😉🚨 Tournament start: -January 7th -1:00PM EST No buy-in, it's completely free to play, no re-entry possible, once you're eliminated there's no going back!! It is played in knock out mode with a maximum of 7 players per table, with betting blinds that progress higher during the match 🚨🚨If you are eliminated at the table, the app will tell you which rank you have achieved, and you have to take a screenshot of this to collect your prize. You can also check tournament history to see rank achieved. Please provide both screenshots 📸proof of screenshot📸 without this no prize can be paid out to avoid Impersonators🚨🚨 Prizes: The communities around Shibarium have donated prizes that are collectively worth around $2k The prizes were donated by the communities and are also given out by the communities, the organizers have no responsibility for the projects so #dyor is of course necessary and we recommend creating your own wallet for each prize (multiple prizes possible) The prizes will be issued mainly on Shibarium and a few on Ethereum blockchain, although we only issue the prizes on Ethereum in conjunction with Shibarium prizes to make sure that you also have Shibarium on your wallet😉 We recommend installing Metamask wallet, Shib-RPC network can be easily integrated quickly with information from the Shib website - Registration will start on Thursday, January 4th, 2024 at 1:00 PM EST, and we will hold a space on X at that time We will pick one lucky person to win 5million #shib on Shibarium at the Space, stay tuned What will you experience in this space? We will announce the prizes and have a short chat with the communities that support us and made this tournament possible. Last but not least, we would like to introduce you to all the communities that helped to support us during the event planning along with providing awesome prizes for the #shibarmy ! We are infinitely grateful to be able to work with you and are very proud that so many are involved and working together to help guide the way for Shibarium to become the foundation of our web3 digital state Afterwards, all projects will briefly introduce themselves and explain to you who they are and how you can collect the prizes from these communities that you win while playing poker But now the curtain is raised for the heroes of this great event! Shups :Shibarium Pups @Xghosty_shib SHIBA SQUAD NFT 🪖 PunkApes 🍌 Shibarium BONEWHALE @_Cryptiq Shib CoOp - Land Community & Builders Tutti Frutti Women| Live on Base SHIBASPARK⚡️ Sharbae NFT Shibacals Collaboration Studio @beastshibarium @metabet_ Zombium @ShibTech Mantra Protocol | Minting *Teh Toros* in Shibarium Shibarium Pixel Pups @MARSWAP1 @ShibWalkToken MOJO Chewy Sharbi @Aeon_Shib Idiotoshi 🦦Former ShibaPunkz Eternal Night Designs Artwork by Unrealcow Special thanks to LAGOJOE

DaBuchi

11,836 görüntüleme • 2 yıl önce

I think I can finally report some success training a quite accurate IDM capable of recovering keystrokes from Minecraft gameplay, even in quite PvP-heavy situations. At this point the model does not only know what keys are pressed to the extent reasonably discernible, it also knows how fast it is moving in 3D space at all times, even when knockback is mixing with the self-move impulse. Now, recovering keystrokes from normal external capture footage is just about impossible. E.g. W/A/S/D does exactly nothing during partial tick frames and jumping mid-air is also equally useless, so asking the model to recover key down states is inherently unreasoanble. Mouse deltas are also completely arbitrary units, as game mouse sensitivity introduces an arbitrary scale factor into the equation. The only good option is to think carefully about your model-environment contract, and only record "logical actions", not raw keystrokes. So here's a few unfortunate lessons I had to learn in roughly this order. - Choose good units. (bad: mouse deltas, good: delta radians [yes, you will need game-internal state]) - Capture from inside the main game loop and read the game fbo to get consistent frame-action pairing. Doing post-mortem pairing is hopeless. - Carefully define when you think keystrokes actually have an effect. (jump only works on ground, when flying or in water etc.) More subtle: The key may already be down, but no tick has happened yet to actually use the value. Hence: ignore Seperate gamestate into "fast and slow-moving" components. E.g. movement is likely tick based, camera rotation is very likely updated every frame in essentially every game ever. - Think about your frame-action correspondance contract (How old is the frame in relation to the inputs you capture? Will double or tripple buffering affect you?) Think about the game loop timeline, where you are sampling, how old the data you are reading is, and where the ticks are happening around you. Language models used to simply not have a model-environment contract, but even now with the model "living" in a designated harness, the contract still boils down to formatting, and tool implementation intrinsics. While also important, it is still quite a bit more obvious because the violations are in some way shape or form reflected as text you can actually see. - ffmpeg dropping frames cummulatively screws the model the further you get into the sequence because your targets are now shifted. If you can't encode the video in real-time, too bad. - Sodium has a frames in flight system different from vanilla Minecraft, which will also offset your targets from your frames. (there goes that data...) - Models are succeptible to latency. If there is too big of a delay between action and on-screen reflection, your performance degrades. At this point I realize ~100hours of gameplay is essentially no longer usable as a dataset. You can train on this data, but all you'll get is a mushy mess. However, some good news: - Making the model predict physics gamestate scalars helps the model generalize. For instantaneous events like jump, it's unreasonable to ask the model emit a short burst of jump=true at exactly the right time, however if you also predict your current y-velocity, the model has supervision signal for the "latent" from which that onground jump becomes apparent. Recovering x/z motion is also somewhat easier than unmixing it into plausible keystrokes for inertia-heavy player controller logic. - Regressing physics gamestate scalars also seems to make your dataset "bigger". While pure keystroke classification will overfit quickly, predicting exact physics gamestate scalars forces the model to generalize more and you can tolerate far more epochs before validation loss starts to stall out. This is the only reason why it was bearable to dump 100h+ of dataset hours and replace it with ~3 hours of gameplay after the 4th revision of the file format (yeah...) and somehow still have better performance. Now, you might be asking, "isn't this brittle?" and the answer is yesn't. Frame-action correspondance matters for training, but not so much during inference. So as long as you are sampling in roughly the same interval as your training data, you aren't violating any hard contract per-se. Somewhere around the frames ticks are happening, and during training you capture various tick-capture offset relations per random chance, so nothing is too obviously wrong here. HOWEVER, you will get screwed by gui scale, shaders, resource packs, "shit that recording is 1920x1040 because somebody doesn't know fullscreen exists" and other unfortunate edge cases of reality. But I suppose this is the role of dataset size. If all those "contract violations" that a youtube video has compared to the training data are addressed, I think this is a way to turn Youtube into a labeled dataset. I could never shake the feeling that VPT is a sound idea in practice, while never having been properly executed, and I think one reason why it hasn't is because that label boostrapping part is just a pain in the butt to get right. Now, what the player is doing is of course not the only label you can extract from video, but it has to be one of the targets predicted during pretraining to "align" the pretraining objective. Some notes on the video here, the colored dots on the analog visualizer are the ground truth, while the gray dot is the model prediction. Green means correct prediction, red means incorrect prediction at that frame. Model P(key) reports how wrong the prediction is from green (0.0) to red (1.0). You will also notice that during periods of rapid slow down, left and right actions become close to irrecoverable, because there is just that little motion. And some jump actions are not predicted correctly because I got the detection condition for jump events wrong... (duh) LMB/RMB for other than sustained events (like item-consume and block break) also seem to be hopelessly irrecoverable for now. Swing was supposed to do the same thing as motion y did for jump, but its too well behaved as an increasing counter. Maybe partial-tick interpolated values work better (v5 file format then... ugh..)
2:27

I think I can finally report some success training a quite accurate IDM capable of recovering keystrokes from Minecraft gameplay, even in quite PvP-heavy situations. At this point the model does not only know what keys are pressed to the extent reasonably discernible, it also knows how fast it is moving in 3D space at all times, even when knockback is mixing with the self-move impulse. Now, recovering keystrokes from normal external capture footage is just about impossible. E.g. W/A/S/D does exactly nothing during partial tick frames and jumping mid-air is also equally useless, so asking the model to recover key down states is inherently unreasoanble. Mouse deltas are also completely arbitrary units, as game mouse sensitivity introduces an arbitrary scale factor into the equation. The only good option is to think carefully about your model-environment contract, and only record "logical actions", not raw keystrokes. So here's a few unfortunate lessons I had to learn in roughly this order. - Choose good units. (bad: mouse deltas, good: delta radians [yes, you will need game-internal state]) - Capture from inside the main game loop and read the game fbo to get consistent frame-action pairing. Doing post-mortem pairing is hopeless. - Carefully define when you think keystrokes actually have an effect. (jump only works on ground, when flying or in water etc.) More subtle: The key may already be down, but no tick has happened yet to actually use the value. Hence: ignore Seperate gamestate into "fast and slow-moving" components. E.g. movement is likely tick based, camera rotation is very likely updated every frame in essentially every game ever. - Think about your frame-action correspondance contract (How old is the frame in relation to the inputs you capture? Will double or tripple buffering affect you?) Think about the game loop timeline, where you are sampling, how old the data you are reading is, and where the ticks are happening around you. Language models used to simply not have a model-environment contract, but even now with the model "living" in a designated harness, the contract still boils down to formatting, and tool implementation intrinsics. While also important, it is still quite a bit more obvious because the violations are in some way shape or form reflected as text you can actually see. - ffmpeg dropping frames cummulatively screws the model the further you get into the sequence because your targets are now shifted. If you can't encode the video in real-time, too bad. - Sodium has a frames in flight system different from vanilla Minecraft, which will also offset your targets from your frames. (there goes that data...) - Models are succeptible to latency. If there is too big of a delay between action and on-screen reflection, your performance degrades. At this point I realize ~100hours of gameplay is essentially no longer usable as a dataset. You can train on this data, but all you'll get is a mushy mess. However, some good news: - Making the model predict physics gamestate scalars helps the model generalize. For instantaneous events like jump, it's unreasonable to ask the model emit a short burst of jump=true at exactly the right time, however if you also predict your current y-velocity, the model has supervision signal for the "latent" from which that onground jump becomes apparent. Recovering x/z motion is also somewhat easier than unmixing it into plausible keystrokes for inertia-heavy player controller logic. - Regressing physics gamestate scalars also seems to make your dataset "bigger". While pure keystroke classification will overfit quickly, predicting exact physics gamestate scalars forces the model to generalize more and you can tolerate far more epochs before validation loss starts to stall out. This is the only reason why it was bearable to dump 100h+ of dataset hours and replace it with ~3 hours of gameplay after the 4th revision of the file format (yeah...) and somehow still have better performance. Now, you might be asking, "isn't this brittle?" and the answer is yesn't. Frame-action correspondance matters for training, but not so much during inference. So as long as you are sampling in roughly the same interval as your training data, you aren't violating any hard contract per-se. Somewhere around the frames ticks are happening, and during training you capture various tick-capture offset relations per random chance, so nothing is too obviously wrong here. HOWEVER, you will get screwed by gui scale, shaders, resource packs, "shit that recording is 1920x1040 because somebody doesn't know fullscreen exists" and other unfortunate edge cases of reality. But I suppose this is the role of dataset size. If all those "contract violations" that a youtube video has compared to the training data are addressed, I think this is a way to turn Youtube into a labeled dataset. I could never shake the feeling that VPT is a sound idea in practice, while never having been properly executed, and I think one reason why it hasn't is because that label boostrapping part is just a pain in the butt to get right. Now, what the player is doing is of course not the only label you can extract from video, but it has to be one of the targets predicted during pretraining to "align" the pretraining objective. Some notes on the video here, the colored dots on the analog visualizer are the ground truth, while the gray dot is the model prediction. Green means correct prediction, red means incorrect prediction at that frame. Model P(key) reports how wrong the prediction is from green (0.0) to red (1.0). You will also notice that during periods of rapid slow down, left and right actions become close to irrecoverable, because there is just that little motion. And some jump actions are not predicted correctly because I got the detection condition for jump events wrong... (duh) LMB/RMB for other than sustained events (like item-consume and block break) also seem to be hopelessly irrecoverable for now. Swing was supposed to do the same thing as motion y did for jump, but its too well behaved as an increasing counter. Maybe partial-tick interpolated values work better (v5 file format then... ugh..)

mike64_t

18,762 görüntüleme • 4 ay önce

#CatForCash #Firstkanaphan 🐈‍⬛: *before buying a home* I stayed at home and then moved into the condo 🐈‍⬛: now the house has just been finished 👤: are you already raising a cat? 🐈‍⬛: I'm currently clearing things up. Clear things into a way so that i can store things and i can use a room for nong 👤: how many years have you been working on this? 🐈‍⬛: a few years. I saved money little by little 👤: then you found a place that you liked 🐈‍⬛: yes, initially I wanted a land to build a house but when i went to look—wow, the land was so expensive. So I choose to look for a house with a good project. I kept searching and searching until I found something that I liked in terms of price and location. That’s how I ended up here 👤: this profession brings you a sense of pride and most importantly owning a home at this age. How does that feel? 🐈‍⬛: I’m proud. Staying at home, sleeping soundly and I’m happy every morning waking up, having little routines, having water from the water dispenser that I bought 🐈‍⬛: That might sound a little strange but just waking up, grabbing a glass of water and drinking it makes me happy *mc saying how rewarding it is because it is the result of his hard work* 🐈‍⬛: Actually it’s not only because of me but also thanks to all the fans who support me. Thank you~ — Precious 🥹❤️
2:05

#CatForCash #Firstkanaphan 🐈‍⬛: *before buying a home* I stayed at home and then moved into the condo 🐈‍⬛: now the house has just been finished 👤: are you already raising a cat? 🐈‍⬛: I'm currently clearing things up. Clear things into a way so that i can store things and i can use a room for nong 👤: how many years have you been working on this? 🐈‍⬛: a few years. I saved money little by little 👤: then you found a place that you liked 🐈‍⬛: yes, initially I wanted a land to build a house but when i went to look—wow, the land was so expensive. So I choose to look for a house with a good project. I kept searching and searching until I found something that I liked in terms of price and location. That’s how I ended up here 👤: this profession brings you a sense of pride and most importantly owning a home at this age. How does that feel? 🐈‍⬛: I’m proud. Staying at home, sleeping soundly and I’m happy every morning waking up, having little routines, having water from the water dispenser that I bought 🐈‍⬛: That might sound a little strange but just waking up, grabbing a glass of water and drinking it makes me happy *mc saying how rewarding it is because it is the result of his hard work* 🐈‍⬛: Actually it’s not only because of me but also thanks to all the fans who support me. Thank you~ — Precious 🥹❤️

valentina.

14,444 görüntüleme • 7 ay önce

‼️🚨🔵PRESSER🔵🚨‼️ 🎙 Enzo Maresca’s Full Pre–Aston Villa Press Conference (Part 1 & 2) 🔹 Enzo Maresca on Delap and Estevão: “Both are available following their injuries.” ✅💪🏽 🔹 Enzo Maresca on if he would swap Morgan Rogers for Cole Palmer: “No. Because I love Cole ❤️ and Cole is my player.” 🔵 🔹 Enzo Maresca on Antoine Semenyo: “I’m focused on Aston Villa 🎯. Not on players who can arrive and leave. I’m in love with the squad we have.” 💙✨ 🔹 Enzo Maresca on Cole Palmer: “He is ready to play a full 90 minutes if needed.” ⏱️⚽ ⸻ 🔹 Enzo Maresca on any developments / the ‘worst 48 hours’ quote: “No, no, no. Before the Newcastle game, I already spoke about that. So nothing to add.” ❌🗣️ 🔹 Enzo Maresca on meetings with sporting directors / ownership: “Again, before the Newcastle game, in the press conference, I said that we had a meeting, that the relationship is good and we all focus on the Aston Villa game — the next game, the next game. So nothing to add.” 🤝🔵 🔹 Enzo Maresca on the players’ Christmas party: “Yeah, it was very good 🎄😊. Family time, players with their friends, with the kids. So it was a nice day, yeah.” 👨‍👩‍👧‍👦 🔹 Enzo Maresca on Chelsea’s training plan over Christmas: “After Newcastle they had two days off 😮‍💨. We trained yesterday, we train today, tomorrow off, and then Friday session and Saturday again.” 📆🏃🏽‍♂️ 🔹 Enzo Maresca on Pep giving players time off: “It’s Pep’s choice 🤝. He considers doing that. I think every manager probably thinks in a different way, but you have to respect different points of view. Is it about trusting the players to do the right thing on Christmas? No. I think it’s not about trust or not trust. I think also Pep trusts the players — just in a different way.” 🧠⚽ 🔹 Enzo Maresca on being in the stands vs Aston Villa: “Yes. In almost 100 games, I’ve been suspended three times 😅. One for celebration 🎉, and two times for yellow cards 🟨. So yeah, unfortunately I will be on the stand, but Willy [Caballero] is there, Danny [Walker] is there, the coaching staff is there. Does it affect the way I prepare, in terms of getting my messages to the players? No, no.” 🏟️📣 🔹 Enzo Maresca on facing Aston Villa: “It will be a very tough game for us ⚔️. We will have to be at our best because Aston Villa are playing very well. They have a clear way of playing and they are very organised both on and off the ball. They are full of confidence in this moment 🔥, but we are at home 🏠 and we will be trying to get the three points as we always do. We will work hard and continue to grow.” 📈💙
8:55

‼️🚨🔵PRESSER🔵🚨‼️ 🎙 Enzo Maresca’s Full Pre–Aston Villa Press Conference (Part 1 & 2) 🔹 Enzo Maresca on Delap and Estevão: “Both are available following their injuries.” ✅💪🏽 🔹 Enzo Maresca on if he would swap Morgan Rogers for Cole Palmer: “No. Because I love Cole ❤️ and Cole is my player.” 🔵 🔹 Enzo Maresca on Antoine Semenyo: “I’m focused on Aston Villa 🎯. Not on players who can arrive and leave. I’m in love with the squad we have.” 💙✨ 🔹 Enzo Maresca on Cole Palmer: “He is ready to play a full 90 minutes if needed.” ⏱️⚽ ⸻ 🔹 Enzo Maresca on any developments / the ‘worst 48 hours’ quote: “No, no, no. Before the Newcastle game, I already spoke about that. So nothing to add.” ❌🗣️ 🔹 Enzo Maresca on meetings with sporting directors / ownership: “Again, before the Newcastle game, in the press conference, I said that we had a meeting, that the relationship is good and we all focus on the Aston Villa game — the next game, the next game. So nothing to add.” 🤝🔵 🔹 Enzo Maresca on the players’ Christmas party: “Yeah, it was very good 🎄😊. Family time, players with their friends, with the kids. So it was a nice day, yeah.” 👨‍👩‍👧‍👦 🔹 Enzo Maresca on Chelsea’s training plan over Christmas: “After Newcastle they had two days off 😮‍💨. We trained yesterday, we train today, tomorrow off, and then Friday session and Saturday again.” 📆🏃🏽‍♂️ 🔹 Enzo Maresca on Pep giving players time off: “It’s Pep’s choice 🤝. He considers doing that. I think every manager probably thinks in a different way, but you have to respect different points of view. Is it about trusting the players to do the right thing on Christmas? No. I think it’s not about trust or not trust. I think also Pep trusts the players — just in a different way.” 🧠⚽ 🔹 Enzo Maresca on being in the stands vs Aston Villa: “Yes. In almost 100 games, I’ve been suspended three times 😅. One for celebration 🎉, and two times for yellow cards 🟨. So yeah, unfortunately I will be on the stand, but Willy [Caballero] is there, Danny [Walker] is there, the coaching staff is there. Does it affect the way I prepare, in terms of getting my messages to the players? No, no.” 🏟️📣 🔹 Enzo Maresca on facing Aston Villa: “It will be a very tough game for us ⚔️. We will have to be at our best because Aston Villa are playing very well. They have a clear way of playing and they are very organised both on and off the ball. They are full of confidence in this moment 🔥, but we are at home 🏠 and we will be trying to get the three points as we always do. We will work hard and continue to grow.” 📈💙

Miki Djan

29,957 görüntüleme • 8 ay önce

This guy sells AI employees to small businesses. He's a non-technical designer with no audience, spends $0 on ads, has no tech background. Yet he's still done 21 agent setups in 6 months, almost all from referrals. His model: install one AI agent as a digital employee, then get paid monthly to manage it and coach the owner. Setup fee plus a per-agent monthly rate. Phil came on the Build With AI pod to walk us through the whole playbook. Here's what I learned: 1. The product is the coaching, not the agent. Owners treat AI like Google. You get paid to manage it so they never have to. 2. Raise your price every yes. $500 setups became $1,000. Now he's targeting $2,000 setups plus $1,000/month per agent. 3. Give the agent a value ledger. It logs every task and sends a weekly ROI report. One client's first week: 63 hours saved, $6,300 in value. 4. Put yourself in the group chat. Telegram group with Phil, the client, and the agent. The client learns by watching him talk to it. 5. The agents handle real multi-step work. One prompt: find the invoice email, extract the PDF into Excel, save to Dropbox, send the link. Done in 10 minutes. 6. Uptime is a selling point. The best prospects tried agents themselves and quit when they broke. Phil fixes it before the client notices. 7. Free work is the referral engine. Friends in his small Georgia town told friends in Atlanta and Dallas. Now he has clients nationwide. 8. The pitch is one text. "I'm testing a managed agent service. Want to be a guinea pig? I'll charge you less." First client: $250/month. 9. Make the agent write to Excel, not its own markdown. A shared source of truth is the difference between a demo and a system. 10. Phil builds his agents on Orgo. $29/month gets your agent a computer with pre-built templates. Phil's agent handles the Orgo admin itself. His 2 key takeaways: 1. You only need to be one step ahead. If you've built an agent for yourself, you know more than the owner who never has. Charge from day one. 2. Visible ROI is the retention strategy. A weekly "you saved $6,300" report re-sells the retainer every single week. Phil is doing this at a level most technical people are not, and we had a blast going deep on it. Go follow Phil Full video below. (Also available on the Build With AI podcast wherever you get your pods)
36:06

This guy sells AI employees to small businesses. He's a non-technical designer with no audience, spends $0 on ads, has no tech background. Yet he's still done 21 agent setups in 6 months, almost all from referrals. His model: install one AI agent as a digital employee, then get paid monthly to manage it and coach the owner. Setup fee plus a per-agent monthly rate. Phil came on the Build With AI pod to walk us through the whole playbook. Here's what I learned: 1. The product is the coaching, not the agent. Owners treat AI like Google. You get paid to manage it so they never have to. 2. Raise your price every yes. $500 setups became $1,000. Now he's targeting $2,000 setups plus $1,000/month per agent. 3. Give the agent a value ledger. It logs every task and sends a weekly ROI report. One client's first week: 63 hours saved, $6,300 in value. 4. Put yourself in the group chat. Telegram group with Phil, the client, and the agent. The client learns by watching him talk to it. 5. The agents handle real multi-step work. One prompt: find the invoice email, extract the PDF into Excel, save to Dropbox, send the link. Done in 10 minutes. 6. Uptime is a selling point. The best prospects tried agents themselves and quit when they broke. Phil fixes it before the client notices. 7. Free work is the referral engine. Friends in his small Georgia town told friends in Atlanta and Dallas. Now he has clients nationwide. 8. The pitch is one text. "I'm testing a managed agent service. Want to be a guinea pig? I'll charge you less." First client: $250/month. 9. Make the agent write to Excel, not its own markdown. A shared source of truth is the difference between a demo and a system. 10. Phil builds his agents on Orgo. $29/month gets your agent a computer with pre-built templates. Phil's agent handles the Orgo admin itself. His 2 key takeaways: 1. You only need to be one step ahead. If you've built an agent for yourself, you know more than the owner who never has. Charge from day one. 2. Visible ROI is the retention strategy. A weekly "you saved $6,300" report re-sells the retainer every single week. Phil is doing this at a level most technical people are not, and we had a blast going deep on it. Go follow Phil Full video below. (Also available on the Build With AI podcast wherever you get your pods)

Corey Ganim

224,496 görüntüleme • 25 gün önce

Lamb and "John [Mack] were scheduled to deliver a paper...on reptilians." ~Ralph Blumenthal 👀🦎 John Mack, Reptilians and Death 🦎👀 "One woman worked for the [DEA] and was abducted while out on a snowmobile, during the day. Some thought the beings were robots. There were different races reported, including reptilians." ~~~ (Newer version of my 2022 thread about Blumenthal, Mack, and the paper Mack wrote on reptilians. Many will like this.) Ralph Blumenthal - Inquire Anomalous conference lecture from 12/03/2022. Notes... Blumenthal talks about a book he's written with his wife about UFOs that's geared towards children (I wonder how Semivan will feel about that? "They're f**king with us!" I have a contact who would REALLY not like that book). Blumenthal is spending his time going thru the story of John Mack and his work on abduction phenomenon. Mack tried LSD, ayahuasca and also holotropic breathing (taught by Stanislav Grof), where he seemed to have a possible past-life memory. Grof introduced Mack to UFOs and abductions. Mack turned down a chance to meet Budd Hopkins, but later, synchronistically, came across Hopkins again and they met in December 1990. Hopkins gave Mack some letters from experiencers and Mack decided to meet these folks and work with them. They were NOT mentally ill, deranged, or publicity seekers. It was so authentic that he couldn't believe they were making it up. The stories were surprisingly consistent and came from experiencers who were as young as three years old. Not all the events happened at night. One woman worked for the U.S. Drug Enforcement Agency and was abducted while out on a snowmobile, during the day. He also worked with women who claimed they were made pregnant, had the babies taken and then allowed to meet those children. Some thought the beings were robots. There were different races reported, including reptilians. The experiences were terrifying for many but also transformative and had a positive effect on the lives of some abductees. Mack's efforts to publish in peer-reviewed journals were rebuffed so he wrote books. He met with the Dalai Lama, who was interested in the abduction phenomenon. In 1994 or 1995, Mack hosted a conference at MIT on abductions. Lots of scientists attended and they discussed what they learned on abductions and shared notes. Mack thought these things must have happened on some level & Harvard (where he taught) was worried, so they tried to remove him. Mack hired a lawyer who didn't work out and he then hired a team that included Sheehan. One mistake Mack realized later was seeing abductions as singular when they were actually part of other mysteries/anomalies like cattle mutilations, ghosts, crop circles (which he investigated), ancient UFO sightings, fairies, NDEs, reincarnation, etc. Mack worked with a gifted scientist, Elizabeth Targ (Russell's daughter), who had special, intuitive powers. She was investigating brain tumors in her patients and wound up dying of the same brain tumor she was investigating. After she died, she somehow seemed able to communicate with her husband and family, from beyond. Mack was working on a book about her when he was killed. Blumenthal had access to all of the police files and came away convinced that Mack's death was a tragic accident. Barbara Lamb (abduction researcher/therapist) accompanied Mack on a visit to crop circles. Blumenthal mentions Lamb and reptilians (she allegedly had a close encounter in her home with a reptilian), and work Mack and Lamb were doing together on reptilians. But Mack died before that work was completed. Mack allegedly helped her from beyond the grave with that. I'll pull the video of that story (reptilians) and the last story and tweet it when the videos are available. "Death is not what we think it is." OK, a year later and I'm including the video clip (sorry for the sound issues) and here's the partial transcript... Blumenthal: "I tell the story of Barbara Lamb, who's a well known a psychotherapist, and experiencer, who had accompanied Mack on his visit to the crop circles. She was on the trip. And later, after Mack's death, Lamb was visiting her daughter in California, and with an allergy to her daughter's cat, she had an asthma attack that left her struggling to breathe. She thought she was suffocating, choking to death. And then she saw an image of Mack and he was saying, 'Don't worry, Barbara, you'll be okay.' And she felt a healing ball of light enter her chest and she suddenly could breathe. "Now, Lamb, who had intrigued me with a story of meeting a reptilian in her living room one day - and she had a very pleasant encounter, by the way - also told me that she and John were scheduled to deliver a paper at the Laughlin UFO conference on reptilians, and his death cut that short. And she didn't know what to do, whether she should still appear at the conference. "And John came to her in a dream, she told me, and said, by all means, she should still deliver his paper at the conference, and he told her where to find the paper. It was at home, on a certain bookshelf, the bookshelf nearest this other room, sticking out of certain papers. And that Barbara should call Karin Austin, who has Mack's assistant at the time, and describe just what John said, where the papers were. So Barbara Lamb did that, Karin located the papers, she delivered them to Barbara, Barbara delivered them at the conference and credited Mack with this report on reptilians." "It was not what we thought." ~Alleged message from a dead John Mack, via a medium. It? What is it? Death? UFOs? Clip is cued up so you can hear clean audio and the rest of the what Blumenthal said. Great lecture. #ufos #ufoX #aliens #uap #lifeafterdeath #afterlife #paranormal #healing #supernatural
4:36

Lamb and "John [Mack] were scheduled to deliver a paper...on reptilians." ~Ralph Blumenthal 👀🦎 John Mack, Reptilians and Death 🦎👀 "One woman worked for the [DEA] and was abducted while out on a snowmobile, during the day. Some thought the beings were robots. There were different races reported, including reptilians." ~~~ (Newer version of my 2022 thread about Blumenthal, Mack, and the paper Mack wrote on reptilians. Many will like this.) Ralph Blumenthal - Inquire Anomalous conference lecture from 12/03/2022. Notes... Blumenthal talks about a book he's written with his wife about UFOs that's geared towards children (I wonder how Semivan will feel about that? "They're f**king with us!" I have a contact who would REALLY not like that book). Blumenthal is spending his time going thru the story of John Mack and his work on abduction phenomenon. Mack tried LSD, ayahuasca and also holotropic breathing (taught by Stanislav Grof), where he seemed to have a possible past-life memory. Grof introduced Mack to UFOs and abductions. Mack turned down a chance to meet Budd Hopkins, but later, synchronistically, came across Hopkins again and they met in December 1990. Hopkins gave Mack some letters from experiencers and Mack decided to meet these folks and work with them. They were NOT mentally ill, deranged, or publicity seekers. It was so authentic that he couldn't believe they were making it up. The stories were surprisingly consistent and came from experiencers who were as young as three years old. Not all the events happened at night. One woman worked for the U.S. Drug Enforcement Agency and was abducted while out on a snowmobile, during the day. He also worked with women who claimed they were made pregnant, had the babies taken and then allowed to meet those children. Some thought the beings were robots. There were different races reported, including reptilians. The experiences were terrifying for many but also transformative and had a positive effect on the lives of some abductees. Mack's efforts to publish in peer-reviewed journals were rebuffed so he wrote books. He met with the Dalai Lama, who was interested in the abduction phenomenon. In 1994 or 1995, Mack hosted a conference at MIT on abductions. Lots of scientists attended and they discussed what they learned on abductions and shared notes. Mack thought these things must have happened on some level & Harvard (where he taught) was worried, so they tried to remove him. Mack hired a lawyer who didn't work out and he then hired a team that included Sheehan. One mistake Mack realized later was seeing abductions as singular when they were actually part of other mysteries/anomalies like cattle mutilations, ghosts, crop circles (which he investigated), ancient UFO sightings, fairies, NDEs, reincarnation, etc. Mack worked with a gifted scientist, Elizabeth Targ (Russell's daughter), who had special, intuitive powers. She was investigating brain tumors in her patients and wound up dying of the same brain tumor she was investigating. After she died, she somehow seemed able to communicate with her husband and family, from beyond. Mack was working on a book about her when he was killed. Blumenthal had access to all of the police files and came away convinced that Mack's death was a tragic accident. Barbara Lamb (abduction researcher/therapist) accompanied Mack on a visit to crop circles. Blumenthal mentions Lamb and reptilians (she allegedly had a close encounter in her home with a reptilian), and work Mack and Lamb were doing together on reptilians. But Mack died before that work was completed. Mack allegedly helped her from beyond the grave with that. I'll pull the video of that story (reptilians) and the last story and tweet it when the videos are available. "Death is not what we think it is." OK, a year later and I'm including the video clip (sorry for the sound issues) and here's the partial transcript... Blumenthal: "I tell the story of Barbara Lamb, who's a well known a psychotherapist, and experiencer, who had accompanied Mack on his visit to the crop circles. She was on the trip. And later, after Mack's death, Lamb was visiting her daughter in California, and with an allergy to her daughter's cat, she had an asthma attack that left her struggling to breathe. She thought she was suffocating, choking to death. And then she saw an image of Mack and he was saying, 'Don't worry, Barbara, you'll be okay.' And she felt a healing ball of light enter her chest and she suddenly could breathe. "Now, Lamb, who had intrigued me with a story of meeting a reptilian in her living room one day - and she had a very pleasant encounter, by the way - also told me that she and John were scheduled to deliver a paper at the Laughlin UFO conference on reptilians, and his death cut that short. And she didn't know what to do, whether she should still appear at the conference. "And John came to her in a dream, she told me, and said, by all means, she should still deliver his paper at the conference, and he told her where to find the paper. It was at home, on a certain bookshelf, the bookshelf nearest this other room, sticking out of certain papers. And that Barbara should call Karin Austin, who has Mack's assistant at the time, and describe just what John said, where the papers were. So Barbara Lamb did that, Karin located the papers, she delivered them to Barbara, Barbara delivered them at the conference and credited Mack with this report on reptilians." "It was not what we thought." ~Alleged message from a dead John Mack, via a medium. It? What is it? Death? UFOs? Clip is cued up so you can hear clean audio and the rest of the what Blumenthal said. Great lecture. #ufos #ufoX #aliens #uap #lifeafterdeath #afterlife #paranormal #healing #supernatural

Joe Murgia

93,869 görüntüleme • 2 yıl önce