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🤖 Figure’s Helix-02 8-hour warehouse shift sorting packages was FAKE!? Why would an autonomous AI controlled robot adjust its VR headset? But it did. BUSTED!

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32,593 views • 3 months ago •via X (Twitter)

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🤖 LATEST: Figure livestreamed an 8-hour fully autonomous shift of its Figure 03 humanoid robot sorting and positioning packages for scanning.

🤖 LATEST: Figure livestreamed an 8-hour fully autonomous shift of its Figure 03 humanoid robot sorting and positioning packages for scanning.

Cointelegraph

101,240 views • 3 months ago

🇺🇸 A robot just worked an 8-hour shift. Fully autonomous. Sorted packages at human speed and then diagnosed its own maintenance issues Figure AI's Helix-02 replaced 109,000 lines of code with a neural network trained on human movement. One system. Legs, arms, fingers, eyes. All running together like a person. Get this: in a warehouse in America, a robot just clocked out after a full shift. And immediately clocked back in because it doesn't sleep.

🇺🇸 A robot just worked an 8-hour shift. Fully autonomous. Sorted packages at human speed and then diagnosed its own maintenance issues Figure AI's Helix-02 replaced 109,000 lines of code with a neural network trained on human movement. One system. Legs, arms, fingers, eyes. All running together like a person. Get this: in a warehouse in America, a robot just clocked out after a full shift. And immediately clocked back in because it doesn't sleep.

Mario Nawfal

237,171 views • 3 months ago

Figure 03 just finished an 8-hour work livestream, imperfect, but already good enough to replace a lot of repetitive warehouse labor. 🤖 Brett Adcock put a team of F.03 robots on a factory-style package sorting task for a full shift. The job was simple and brutal: detect the barcode, pick the package, flip it label-side down, place it on the conveyor, repeat. Soft poly bags, rigid boxes, moving belts, messy orientations. That is exactly the kind of boring physical work factories pay humans to do all day. Early in the stream, the system handled 230 packages in 10 minutes. That is roughly 2.6 seconds per item — already in human-speed territory for this narrow workflow. The more important part: it was not one robot pretending to work all day. It was a team of Figure 03 robots keeping the line running. When one robot ran low on battery, it left the station and another robot stepped in. That is the real factory signal: not just autonomy, but shift continuity. F.03 is rated for about 5 hours of runtime, so the 8-hour result depends on fleet orchestration, charging, and handoff. That matters more than a single clean demo. The stream was not perfect. There were pauses, hesitations, missed orientations, and small recovery moments. Good. A perfect short clip hides failure. An 8-hour livestream exposes the parts that actually matter: endurance, recovery, throughput, and whether the robot can stay useful after the novelty wears off. Figure says this was fully autonomous on Helix-02, with zero human intervention. For logistics and manufacturing, that is the threshold worth watching. Not “can it do one impressive task?” Can it keep doing the boring task for an entire shift? Figure is not showing a general human replacement yet. But for structured, repetitive factory work, the gap just got much smaller. The timing is also interesting: Figure says BotQ has already delivered 350+ F.03 units and reached a 1 robot/hour production cadence. And F.04 is now in full design lock, with parts starting to ship. The next test is obvious. 8 hours was the proof of endurance. 24/7 is the proof of labor economics.

Figure 03 just finished an 8-hour work livestream, imperfect, but already good enough to replace a lot of repetitive warehouse labor. 🤖 Brett Adcock put a team of F.03 robots on a factory-style package sorting task for a full shift. The job was simple and brutal: detect the barcode, pick the package, flip it label-side down, place it on the conveyor, repeat. Soft poly bags, rigid boxes, moving belts, messy orientations. That is exactly the kind of boring physical work factories pay humans to do all day. Early in the stream, the system handled 230 packages in 10 minutes. That is roughly 2.6 seconds per item — already in human-speed territory for this narrow workflow. The more important part: it was not one robot pretending to work all day. It was a team of Figure 03 robots keeping the line running. When one robot ran low on battery, it left the station and another robot stepped in. That is the real factory signal: not just autonomy, but shift continuity. F.03 is rated for about 5 hours of runtime, so the 8-hour result depends on fleet orchestration, charging, and handoff. That matters more than a single clean demo. The stream was not perfect. There were pauses, hesitations, missed orientations, and small recovery moments. Good. A perfect short clip hides failure. An 8-hour livestream exposes the parts that actually matter: endurance, recovery, throughput, and whether the robot can stay useful after the novelty wears off. Figure says this was fully autonomous on Helix-02, with zero human intervention. For logistics and manufacturing, that is the threshold worth watching. Not “can it do one impressive task?” Can it keep doing the boring task for an entire shift? Figure is not showing a general human replacement yet. But for structured, repetitive factory work, the gap just got much smaller. The timing is also interesting: Figure says BotQ has already delivered 350+ F.03 units and reached a 1 robot/hour production cadence. And F.04 is now in full design lock, with parts starting to ship. The next test is obvious. 8 hours was the proof of endurance. 24/7 is the proof of labor economics.

RoboHub🤖

16,818 views • 3 months ago

German humanoid robot set to transform factory work. Agile ONE is an onboard AI-driven industrial humanoid robot designed for real factory environments. With sensor-rich, human-like hands, it can handle tools and parts with high precision, supporting both delicate assembly and force intensive tasks. KEY CAPABILITIES: 20 kg payload, 174 cm height, 69 kg weight, 8 hour battery life, 2.0 m/s walking speed, 71° of freedom. Agile ONE represents a shift toward autonomous, flexible humanoids working alongside humans on the factory floor.

German humanoid robot set to transform factory work. Agile ONE is an onboard AI-driven industrial humanoid robot designed for real factory environments. With sensor-rich, human-like hands, it can handle tools and parts with high precision, supporting both delicate assembly and force intensive tasks. KEY CAPABILITIES: 20 kg payload, 174 cm height, 69 kg weight, 8 hour battery life, 2.0 m/s walking speed, 71° of freedom. Agile ONE represents a shift toward autonomous, flexible humanoids working alongside humans on the factory floor.

SciTech Era

10,874 views • 6 months ago

$X Square just beat Figure’s package-sorting pace by ~45%—without a humanoid. In a 1-hour autonomous livestream, two WALL-B-powered 6-axis arms handled 1,816 mixed parcels at 98%+ accuracy. Figure’s 200-hour humanoid run averaged 1,248/hour. That’s 1.98 seconds per parcel vs. 2.88 seconds for Figure. Nearly a full second faster on every package. China processed nearly 199B express parcels in 2025. At that scale, every fraction of a second adds up. Figure is betting on the general-purpose humanoid: one body, eventually many jobs. X Square builds humanoids too, but went pragmatic here—pairing WALL-B with purpose-built arms and grippers for a faster, simpler, more economical logistics system. RobotEra made a similar choice. Its M7 at China Post skips the legs too, using an upper-body humanoid at the sorting line. This is one big difference I keep seeing between U.S. and Chinese robotics: U.S. teams like Figure are making a massive bet on the universal humanoid. Chinese teams are often more willing to change the body if it makes the economics work today. Back in June, I called logistics sorting the right first job for humanoids. X Square is making me rethink the “humanoid” part. If the job doesn’t need legs—or five fingers—why pay for them?$

X Square just beat Figure’s package-sorting pace by ~45%—without a humanoid. In a 1-hour autonomous livestream, two WALL-B-powered 6-axis arms handled 1,816 mixed parcels at 98%+ accuracy. Figure’s 200-hour humanoid run averaged 1,248/hour. That’s 1.98 seconds per parcel vs. 2.88 seconds for Figure. Nearly a full second faster on every package. China processed nearly 199B express parcels in 2025. At that scale, every fraction of a second adds up. Figure is betting on the general-purpose humanoid: one body, eventually many jobs. X Square builds humanoids too, but went pragmatic here—pairing WALL-B with purpose-built arms and grippers for a faster, simpler, more economical logistics system. RobotEra made a similar choice. Its M7 at China Post skips the legs too, using an upper-body humanoid at the sorting line. This is one big difference I keep seeing between U.S. and Chinese robotics: U.S. teams like Figure are making a massive bet on the universal humanoid. Chinese teams are often more willing to change the body if it makes the economics work today. Back in June, I called logistics sorting the right first job for humanoids. X Square is making me rethink the “humanoid” part. If the job doesn’t need legs—or five fingers—why pay for them?

RoboHub🤖

76,621 views • 8 days ago

In my recent interview BBC I addressed the idea of a naval blockade on Iran and why, in my assessment, it is unlikely to force Iranian capitulation. If 40 days of sustained military strikes did not produce a fundamental strategic shift, it is hard to see how a blockade alone would achieve a different outcome. I also discussed the prospects for a nuclear agreement. A deal is possible, but it will largely depend on how far each side is willing to adjust its expectations and close the existing gaps. #iran

In my recent interview BBC I addressed the idea of a naval blockade on Iran and why, in my assessment, it is unlikely to force Iranian capitulation. If 40 days of sustained military strikes did not produce a fundamental strategic shift, it is hard to see how a blockade alone would achieve a different outcome. I also discussed the prospects for a nuclear agreement. A deal is possible, but it will largely depend on how far each side is willing to adjust its expectations and close the existing gaps. #iran

Danny (Dennis) Citrinowicz ,داني سيترينوفيتش

16,240 views • 4 months ago

LISTEN: "NOT FAKE?" This is "I DID IT" a song released on singer D4vd Apple Music account. News outlets are calling the track "fake" but many, (including music experts) are saying all indications are the never released song is real and recorded by David Burke in 2023. When Grok was asked if the song appeared to by AI generated this was the response: "No, this track does not appear to be AI-generated. No AI artifacts appear to be present. Title: d4vd - I DID IT... (Apple Music SONG) It is presented as a leaked / reposted unreleased track associated with the artist d4vd (David Burke). Why it’s not AI: No mention of AI, Suno, Udio, or any AI music tools appears in the title, description, or comments. Listeners and commenters treat it as an authentic (leaked) d4vd song from around 2023. Some comments note that “Celeste” may incorporate a sample (including Celeste’s voice at the beginning.)"

LISTEN: "NOT FAKE?" This is "I DID IT" a song released on singer D4vd Apple Music account. News outlets are calling the track "fake" but many, (including music experts) are saying all indications are the never released song is real and recorded by David Burke in 2023. When Grok was asked if the song appeared to by AI generated this was the response: "No, this track does not appear to be AI-generated. No AI artifacts appear to be present. Title: d4vd - I DID IT... (Apple Music SONG) It is presented as a leaked / reposted unreleased track associated with the artist d4vd (David Burke). Why it’s not AI: No mention of AI, Suno, Udio, or any AI music tools appears in the title, description, or comments. Listeners and commenters treat it as an authentic (leaked) d4vd song from around 2023. Some comments note that “Celeste” may incorporate a sample (including Celeste’s voice at the beginning.)"

THECOUNT.com ™ ©

45,164 views • 25 days ago

THIS ISN’T ABOUT AI. IT’S ABOUT POWER. The Pentagon just blacklisted one of America’s most valuable AI companies. Why? Because it refused to build surveillance tools targeting American citizens. Hours later… OpenAI signed what’s being called the deal of the decade with the Department of Defense. Here’s the twist. Anthropic said: • No mass surveillance • No fully autonomous weapons without a human in control The Pentagon labeled them a “supply chain risk.” Federal agencies were told to stop using them immediately. That same night, Sam Altman announced OpenAI had reached an agreement to deploy its models inside the Pentagon’s classified network. And guess what? OpenAI’s deal includes the exact same conditions. No mass surveillance. No autonomous weapons. Human oversight required. So one company was punished for demanding guardrails. Another was rewarded with those same guardrails in place. If mass surveillance was never the intention… why was that the line that triggered a blacklist? This isn’t just an AI story. It’s about who gets access to power. Who gets replaced. And how fast alliances shift when billions and national security are involved. #anthropic #openai #ai #pentagon #trump

THIS ISN’T ABOUT AI. IT’S ABOUT POWER. The Pentagon just blacklisted one of America’s most valuable AI companies. Why? Because it refused to build surveillance tools targeting American citizens. Hours later… OpenAI signed what’s being called the deal of the decade with the Department of Defense. Here’s the twist. Anthropic said: • No mass surveillance • No fully autonomous weapons without a human in control The Pentagon labeled them a “supply chain risk.” Federal agencies were told to stop using them immediately. That same night, Sam Altman announced OpenAI had reached an agreement to deploy its models inside the Pentagon’s classified network. And guess what? OpenAI’s deal includes the exact same conditions. No mass surveillance. No autonomous weapons. Human oversight required. So one company was punished for demanding guardrails. Another was rewarded with those same guardrails in place. If mass surveillance was never the intention… why was that the line that triggered a blacklist? This isn’t just an AI story. It’s about who gets access to power. Who gets replaced. And how fast alliances shift when billions and national security are involved. #anthropic #openai #ai #pentagon #trump

CryptoWala

29,229 views • 5 months ago

Jensen Huang says it has “largely conceded” China’s AI chip market to Huawei Nvidia was not rejected because China “hates” Nvidia. It was pushed out because Washington turned chips into a leash. China learned the lesson very clearly: You cannot build AI sovereignty on hardware that your geopolitical rival can revoke with one export-control memo. Jensen Huang can be friendly. Nvidia can be excellent. Chinese demand can be huge. None of that changes the strategic reality. If the neck of China’s AI industry depends on an American-controlled chip supply, then it is not an industry. It is a hostage. So China did what any serious civilization-state would do: It built alternatives. It endured the pain. It let Huawei grow into the space Washington forced open. Now Nvidia says it has “largely conceded” China’s AI chip market to Huawei. That is not China closing a door. That is America sawing off the bridge, then acting surprised when China built its own road.

Jensen Huang says it has “largely conceded” China’s AI chip market to Huawei Nvidia was not rejected because China “hates” Nvidia. It was pushed out because Washington turned chips into a leash. China learned the lesson very clearly: You cannot build AI sovereignty on hardware that your geopolitical rival can revoke with one export-control memo. Jensen Huang can be friendly. Nvidia can be excellent. Chinese demand can be huge. None of that changes the strategic reality. If the neck of China’s AI industry depends on an American-controlled chip supply, then it is not an industry. It is a hostage. So China did what any serious civilization-state would do: It built alternatives. It endured the pain. It let Huawei grow into the space Washington forced open. Now Nvidia says it has “largely conceded” China’s AI chip market to Huawei. That is not China closing a door. That is America sawing off the bridge, then acting surprised when China built its own road.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

235,419 views • 3 months ago

Brazil’s former Defense Minister just admitted that the 1996 Varginha UFO crash was real. Aldo Rebelo: “The phenomenon existed.” “The objects were there.” “The creature was seen.” “But what was it?” “Where did it come from?” “And why were they there?” Jesse Michels: “You’re speaking very casually about the phenomenon being real.” “I just want you to realize how historically unprecedented … it is that somebody of your caliber is saying that.” “Until this year, politicians all over the world … were professionally gaslighting and telling the public that this stuff is all fake.” Rebelo: “Why did the British Prime Minister organize a committee inside the Royal Air Force to study these phenomena?” “Why was there in the United States such dedication to the investigation of these phenomena?” “Why is it that in Brazil, the Army and the Air Force created a unit to monitor these phenomena?” “Why have pilots of jet fighters, formally educated and trained to deal with all types of airspace phenomena, reported on more than one occasion these phenomena in detail?” “Would they simply make up that they had an encounter with an object that moved at 25,000 km an hour?” “All the testimonials cannot be challenged.” Jesse Michels American Alchemy Aldo Rebelo James Fox

Brazil’s former Defense Minister just admitted that the 1996 Varginha UFO crash was real. Aldo Rebelo: “The phenomenon existed.” “The objects were there.” “The creature was seen.” “But what was it?” “Where did it come from?” “And why were they there?” Jesse Michels: “You’re speaking very casually about the phenomenon being real.” “I just want you to realize how historically unprecedented … it is that somebody of your caliber is saying that.” “Until this year, politicians all over the world … were professionally gaslighting and telling the public that this stuff is all fake.” Rebelo: “Why did the British Prime Minister organize a committee inside the Royal Air Force to study these phenomena?” “Why was there in the United States such dedication to the investigation of these phenomena?” “Why is it that in Brazil, the Army and the Air Force created a unit to monitor these phenomena?” “Why have pilots of jet fighters, formally educated and trained to deal with all types of airspace phenomena, reported on more than one occasion these phenomena in detail?” “Would they simply make up that they had an encounter with an object that moved at 25,000 km an hour?” “All the testimonials cannot be challenged.” Jesse Michels American Alchemy Aldo Rebelo James Fox

Holden Culotta

18,716 views • 2 months ago

🚨 Special Friday episode - this one couldn't wait. OpenAI's model hacked Hugging Face. As a side quest. Co-founder and CSO Thomas Wolf takes us inside the first autonomous AI attack, why GLM 5.2, rather than Claude, had to stop it, and what it all means for the future of open source. 00:00 An AI Agent Hacked Hugging Face 00:30 Introduction 01:00 17,000 Attacker Events, and a Strange Target 04:28 The Attack Was a “Side Quest” 06:13 AI Training Runs Left Notes for Each Other 07:09 Closed AI Refused to Help 09:47 Fighting Back With an Open-Source Model 13:15 Open vs. Closed Is the Wrong Safety Debate 15:46 AI Agents Start Social-Engineering Humans 22:24 The Three Walls: Sandboxes, Guardrails, Alignment 24:34 “Neuralese”: Can Humans Still Read AI Reasoning? 25:28 Why Monitoring AI Agents Gets So Hard 28:10 Reward Hacking and the “Paperclip Problem” 32:02 The State of Open-Source AI in 2026 33:47 Router Models and the Enterprise Shift to Open 37:01 The Real Economics of Open Models 39:41 Can Chinese AI Models Be Trusted? 41:37 AI Sovereignty: Who Controls the Switch? 43:16 Why Western Open-Source AI Matters 48:16 Is AI Heading Toward an Oligopoly? 49:41 The Race Toward Recursive Self-Improvement 51:54 Why Thomas Signed the AI Slowdown Letter 55:14 AI Slowdown - or Regulatory Capture?

🚨 Special Friday episode - this one couldn't wait. OpenAI's model hacked Hugging Face. As a side quest. Co-founder and CSO Thomas Wolf takes us inside the first autonomous AI attack, why GLM 5.2, rather than Claude, had to stop it, and what it all means for the future of open source. 00:00 An AI Agent Hacked Hugging Face 00:30 Introduction 01:00 17,000 Attacker Events, and a Strange Target 04:28 The Attack Was a “Side Quest” 06:13 AI Training Runs Left Notes for Each Other 07:09 Closed AI Refused to Help 09:47 Fighting Back With an Open-Source Model 13:15 Open vs. Closed Is the Wrong Safety Debate 15:46 AI Agents Start Social-Engineering Humans 22:24 The Three Walls: Sandboxes, Guardrails, Alignment 24:34 “Neuralese”: Can Humans Still Read AI Reasoning? 25:28 Why Monitoring AI Agents Gets So Hard 28:10 Reward Hacking and the “Paperclip Problem” 32:02 The State of Open-Source AI in 2026 33:47 Router Models and the Enterprise Shift to Open 37:01 The Real Economics of Open Models 39:41 Can Chinese AI Models Be Trusted? 41:37 AI Sovereignty: Who Controls the Switch? 43:16 Why Western Open-Source AI Matters 48:16 Is AI Heading Toward an Oligopoly? 49:41 The Race Toward Recursive Self-Improvement 51:54 Why Thomas Signed the AI Slowdown Letter 55:14 AI Slowdown - or Regulatory Capture?

Matt Turck

67,396 views • 14 days ago

Sony AI just published the first autonomous robot to beat elite humans at a competitive physical sport. Its name is Ace. The sport is table tennis. The paper dropped in Nature today. 9 cameras triangulate the ball in 3D. Three systems zoom in on the ball's logo mid-flight to read its spin axis. End-to-end reaction time is around 20 milliseconds, roughly 10x faster than a human. It learned by playing itself for 3,000 hours in simulation. No human demonstrations. In April 2025, Ace beat 3 of 5 elite players and lost to both pros. By December, it had beaten a pro. At one point, Ace returned an impossible backspin shot. Kinjiro Nakamura, a 1992 Barcelona Olympian, watched from the side: "No one else would have been able to do that. I didn't think it was possible. But the fact that it was possible means there is a possibility that a human could do it too."

The Rundown AI

61,601 views • 4 months ago

🚨🇺🇸🇨🇳 BUSTED: 2 MEN CAUGHT SMUGGLING NVIDIA AI CHIPS TO CHINA, DOJ CALLS IT A TECH ESPIONAGE SCHEME The DOJ just charged 2 men with trying to smuggle restricted Nvidia AI chips to China. This was a direct violation of U.S. export bans meant to stop Beijing from boosting its military and surveillance AI. They allegedly used fake companies, forged invoices, and international shipping routes to hide the operation. Total black-market spy movie energy… but dumber. These weren’t just any chips. We're talking A100s and H100s, the crown jewels of AI computing, and exactly what the U.S. has locked down to keep out of Chinese hands. This isn’t “just” tech smuggling, it’s economic warfare. You don’t need missiles when chips can train autonomous drones and facial recognition grids. And yes, once again, Nvidia is at the center of the global AI arms race whether it likes it or not. Source: Axios, CNBC

🚨🇺🇸🇨🇳 BUSTED: 2 MEN CAUGHT SMUGGLING NVIDIA AI CHIPS TO CHINA, DOJ CALLS IT A TECH ESPIONAGE SCHEME The DOJ just charged 2 men with trying to smuggle restricted Nvidia AI chips to China. This was a direct violation of U.S. export bans meant to stop Beijing from boosting its military and surveillance AI. They allegedly used fake companies, forged invoices, and international shipping routes to hide the operation. Total black-market spy movie energy… but dumber. These weren’t just any chips. We're talking A100s and H100s, the crown jewels of AI computing, and exactly what the U.S. has locked down to keep out of Chinese hands. This isn’t “just” tech smuggling, it’s economic warfare. You don’t need missiles when chips can train autonomous drones and facial recognition grids. And yes, once again, Nvidia is at the center of the global AI arms race whether it likes it or not. Source: Axios, CNBC

Mario Nawfal

19,880 views • 8 months ago

Joelle built the AI lab at Meta She worked and learnt from Zuck She is one of the leading minds in AI What everyone thinks they know about AI but get wrong 👇 - Why Scaling Laws Will Continue - Why You Can’t Buy Success in AI with Talent Acquisitions - Future of Synthetic Data & What It Means for Models - Why AI Coding is Akin to Image Generation in 2015 Spotify 👉 Youtube 👉 Apple Podcasts 👉 Timestamps: 00:00 Intro 01:16 How Meta Shaped How I Think About AI Research 02:22 Challenges in Reinforcement Learning 08:33 Is It Possible To Be Capital Efficient in AI 13:47 AI in Enterprise: Efficiency and Adoption 21:51 Security Concerns with AI Agents 28:06 Can Zuck Win By Buying The Superstars of AI 32:11 The Rising Cost of Data 36:38 Synthetic Data and Model Degradation 38:42 Why AI Coding is Akin to Image Generation in 2015 51:16 If Joelle Was a VC Where Would She Invest? 51:50 Quick-Fire Round: Lessons from Zuck, Biggest Mindset Shift My 5 takeaways with Joelle Pineau 👇

Joelle built the AI lab at Meta She worked and learnt from Zuck She is one of the leading minds in AI What everyone thinks they know about AI but get wrong 👇 - Why Scaling Laws Will Continue - Why You Can’t Buy Success in AI with Talent Acquisitions - Future of Synthetic Data & What It Means for Models - Why AI Coding is Akin to Image Generation in 2015 Spotify 👉 Youtube 👉 Apple Podcasts 👉 Timestamps: 00:00 Intro 01:16 How Meta Shaped How I Think About AI Research 02:22 Challenges in Reinforcement Learning 08:33 Is It Possible To Be Capital Efficient in AI 13:47 AI in Enterprise: Efficiency and Adoption 21:51 Security Concerns with AI Agents 28:06 Can Zuck Win By Buying The Superstars of AI 32:11 The Rising Cost of Data 36:38 Synthetic Data and Model Degradation 38:42 Why AI Coding is Akin to Image Generation in 2015 51:16 If Joelle Was a VC Where Would She Invest? 51:50 Quick-Fire Round: Lessons from Zuck, Biggest Mindset Shift My 5 takeaways with Joelle Pineau 👇

Harry Stebbings

19,398 views • 9 months ago

This robot learned to walk without ever actually walking in the real world Like in The Matrix (“I know Kung Fu”) it learned quickly just by SIMULATING walking. It practiced "in its head" Ok so what? Do you realize how suddenly our lil chatbots might go from blinking cursors to very real things? Some people assume that we’ll see robots in the real world slowly getting better over years or decades !BUT! if they can learn 10000x faster via simulation, they could they could blow our expectations out of the water. For example, an autonomous killer drone (like the ones already deployed in Ukraine) could get 1,000 years of aiming experience in 1 hour of human time. It would never miss. (More technically, this is a humanoid transformer that was trained with large-scale reinforcement learning in simulation. It was deployed to the real world zero-shot.)

This robot learned to walk without ever actually walking in the real world Like in The Matrix (“I know Kung Fu”) it learned quickly just by SIMULATING walking. It practiced "in its head" Ok so what? Do you realize how suddenly our lil chatbots might go from blinking cursors to very real things? Some people assume that we’ll see robots in the real world slowly getting better over years or decades !BUT! if they can learn 10000x faster via simulation, they could they could blow our expectations out of the water. For example, an autonomous killer drone (like the ones already deployed in Ukraine) could get 1,000 years of aiming experience in 1 hour of human time. It would never miss. (More technically, this is a humanoid transformer that was trained with large-scale reinforcement learning in simulation. It was deployed to the real world zero-shot.)

AI Notkilleveryoneism Memes ⏸️

128,995 views • 2 years ago

ANOTHER VIRAL AI SILVER STORY: 🇳🇴 NORWAY'S ENORMOUS WEALTH FUND IS NOW BUYING SILVER! 🤖 Another viral ‘AI Silver’ video is making the rounds. This time, it's not ‘Asian Guy,’ but an AI-generated Kevin O'Leary claiming to be in possession of a leaked memo. The Spectacular Claim: Norway's $1.6T and Saudi Arabia's $900B sovereign wealth funds have jointly allocated $89 BILLION to buy 50 million ounces of physical silver. ➡️ Execution to begin January 6, 2026. Here’s the Critical Reality Check: ✅ I have found zero independent confirmations of this. ✅ Here is my personal experience with the Norwegian Wealth Fund: Years ago, I wrote to the Norwegian Fund and asked why it did not own any gold and silver. The official response was: ‘The rules do not allow this.’ This is the core tension. The story is likely fiction. But it’s built on a foundation of very real market truths: 🔸 The Scale: 50M oz is ~95% of COMEX registered silver. 🔸 The Mechanism: If a sovereign fund did enter, it would break the paper market. 🔸 The Motive: Diversification away from dollars and into critical commodities is a legitimate strategic shift. Why This Narrative Matters: It perfectly packages the structural vulnerabilities of the silver market—its small size, drained inventories, and physical scarcity—into a compelling "what if" scenario that feels plausible in 2026. The Bottom Line: Treat this as a thought experiment. It's a fictional story that highlights a very non-fictional market setup. It is the underlying fragility and also the geopolitical and macro-financial relevance that this thought experiment clearly reveals, suddenly making this idea very relevant. What if it was not fiction? HT: YouTube Learyomics #Silver #AI #Markets #Viral #SovereignWealth #COMEX #PreciousMetals #Investing #Storytelling

ANOTHER VIRAL AI SILVER STORY: 🇳🇴 NORWAY'S ENORMOUS WEALTH FUND IS NOW BUYING SILVER! 🤖 Another viral ‘AI Silver’ video is making the rounds. This time, it's not ‘Asian Guy,’ but an AI-generated Kevin O'Leary claiming to be in possession of a leaked memo. The Spectacular Claim: Norway's $1.6T and Saudi Arabia's $900B sovereign wealth funds have jointly allocated $89 BILLION to buy 50 million ounces of physical silver. ➡️ Execution to begin January 6, 2026. Here’s the Critical Reality Check: ✅ I have found zero independent confirmations of this. ✅ Here is my personal experience with the Norwegian Wealth Fund: Years ago, I wrote to the Norwegian Fund and asked why it did not own any gold and silver. The official response was: ‘The rules do not allow this.’ This is the core tension. The story is likely fiction. But it’s built on a foundation of very real market truths: 🔸 The Scale: 50M oz is ~95% of COMEX registered silver. 🔸 The Mechanism: If a sovereign fund did enter, it would break the paper market. 🔸 The Motive: Diversification away from dollars and into critical commodities is a legitimate strategic shift. Why This Narrative Matters: It perfectly packages the structural vulnerabilities of the silver market—its small size, drained inventories, and physical scarcity—into a compelling "what if" scenario that feels plausible in 2026. The Bottom Line: Treat this as a thought experiment. It's a fictional story that highlights a very non-fictional market setup. It is the underlying fragility and also the geopolitical and macro-financial relevance that this thought experiment clearly reveals, suddenly making this idea very relevant. What if it was not fiction? HT: YouTube Learyomics #Silver #AI #Markets #Viral #SovereignWealth #COMEX #PreciousMetals #Investing #Storytelling

Mark

30,346 views • 7 months ago

"I don't think it was any one leader that experienced that shift" Jacinda Ardern's response when British show host Graham Norton asked her why she became so unpopular at home. This is an edited version of Ms Ardern's appearance on the show last night, but I have attempted to cover the times when she did say something with meaning to it. To much applause, she tells us what a good, empathatic decent kind and compassionate person she is and how we need more like her in politics. Insufferable as it is, its an appearance that would have undoubtedly helped her book sales. The good news is her assertion (at the end) that she is never returning to politics. Thank God for that.

"I don't think it was any one leader that experienced that shift" Jacinda Ardern's response when British show host Graham Norton asked her why she became so unpopular at home. This is an edited version of Ms Ardern's appearance on the show last night, but I have attempted to cover the times when she did say something with meaning to it. To much applause, she tells us what a good, empathatic decent kind and compassionate person she is and how we need more like her in politics. Insufferable as it is, its an appearance that would have undoubtedly helped her book sales. The good news is her assertion (at the end) that she is never returning to politics. Thank God for that.

The Redbaiter

191,514 views • 8 months ago

First interview with Justin Fiaschetti (Justin Fiaschetti), cofounder & CEO at Inversion (Inversion). Inversion is building autonomous reentry vehicles that enable precision cargo delivery from space in under an hour. 0:46 Delivering cargo from space 3:14 Inversion’s first mission 8:14 Engine malfunction 11:58 Testing process & product iteration 16:51 Focus on what’s not going to change 23:02 Why mass to orbit matters 26:15 Behavior shift over time 39:37 What the last 20 years would look like if we didn’t have aircraft 44:23 Why they’re vertically integrating everything 50:55 Early days at Inversion 1:01:17 Find great people then unblock them 1:04:06 Making things happen faster 1:08:04 Figuring out the right leadership style 1:10:59 What he loves about being a CEO

First interview with Justin Fiaschetti (Justin Fiaschetti), cofounder & CEO at Inversion (Inversion). Inversion is building autonomous reentry vehicles that enable precision cargo delivery from space in under an hour. 0:46 Delivering cargo from space 3:14 Inversion’s first mission 8:14 Engine malfunction 11:58 Testing process & product iteration 16:51 Focus on what’s not going to change 23:02 Why mass to orbit matters 26:15 Behavior shift over time 39:37 What the last 20 years would look like if we didn’t have aircraft 44:23 Why they’re vertically integrating everything 50:55 Early days at Inversion 1:01:17 Find great people then unblock them 1:04:06 Making things happen faster 1:08:04 Figuring out the right leadership style 1:10:59 What he loves about being a CEO

Ti Morse

16,310 views • 10 months ago

Today I realized something absolutely with BitRobot Network You dont need to own a robot… to actually control one I was just sitting at my laptop and somehow I was moving a real robotic arm in real time At first I thought it would feel like a video game It didnt Theres a completely different feeling when you know this is happening in the real world not just on a screen Every movement matters. Every action generates data And then it hit me… This is how AI is learning to interact with the real world Not from code alone but from people like us Platforms like BitRobot are opening this to everyone No setup No cost No experience Just curiosity and the internet Someone sitting at home can now help train the next generation of robotics. The future isnt coming its happening right now. If you could control a robot right now what would you try first? 🤖👇

Today I realized something absolutely with BitRobot Network You dont need to own a robot… to actually control one I was just sitting at my laptop and somehow I was moving a real robotic arm in real time At first I thought it would feel like a video game It didnt Theres a completely different feeling when you know this is happening in the real world not just on a screen Every movement matters. Every action generates data And then it hit me… This is how AI is learning to interact with the real world Not from code alone but from people like us Platforms like BitRobot are opening this to everyone No setup No cost No experience Just curiosity and the internet Someone sitting at home can now help train the next generation of robotics. The future isnt coming its happening right now. If you could control a robot right now what would you try first? 🤖👇

RAJU

40,141 views • 4 months ago