正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Mind-1: Physical AI at Human Speed, Built for Real Work Completing a task is only the beginning. Doing it at a pace that works in the real world is the next step—and that is what Mind-1 is built to achieve.

MindOn

1,816 subscribers

141,040 次观看 • 9 天前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

3 条评论

notgwapo 的头像

notgwapo9 天前

kinda wild to think about AI working at human speed. curious to see how Mind-1 handles real-world tasks. 🤔

Cmdr. Shon Percius 的头像

Cmdr. Shon Percius8 天前

I wouldn't mind a robot that would help fold laundry. That would be just fine, I would work along side it, then teach it to high-five when the job is done. Not replace the work of people in a paying position. I know, I could hire a house keeper, but a robot would be cool too.

Victor Ozoh 的头像

Victor Ozoh8 天前

Impressive! 💯 I really admire the work you and the guys at @LightOrigins_ are doing. Bringing true embodied intelligence to the world

相关视频

THE REAL WORLD is a full suite of tools and features designed to get money into your bank account. Every feature built has that singular objective in mind. The next new feature is coming soon.

THE REAL WORLD is a full suite of tools and features designed to get money into your bank account. Every feature built has that singular objective in mind. The next new feature is coming soon.

Andrew Tate

195,715 次观看 • 1 年前

On Bloomberg last night, I was asked why Amazon drives more than a third of U.S. e-commerce. It is not because of their storefront. It is not because of their payments. It is not even because of product selection. It is because consumers trust their deliveries. That trust is built on physical infrastructure at scale with intelligence layered on top. And that is what Stord is building for every independent merchant. The most defensible companies in the world combine software intelligence with physical execution. Today, 9 of the 10 largest U.S. companies by revenue operate physical networks at scale. Software alone cannot replicate the outcomes created when you control the movement of physical atoms. That is the physical intelligence layer for commerce. And that is what Stord Labs is built to advance. Deploying AI and robotics against real operational complexity, in the real world, across a vertically integrated network operating at scale. Bloomberg TV

On Bloomberg last night, I was asked why Amazon drives more than a third of U.S. e-commerce. It is not because of their storefront. It is not because of their payments. It is not even because of product selection. It is because consumers trust their deliveries. That trust is built on physical infrastructure at scale with intelligence layered on top. And that is what Stord is building for every independent merchant. The most defensible companies in the world combine software intelligence with physical execution. Today, 9 of the 10 largest U.S. companies by revenue operate physical networks at scale. Software alone cannot replicate the outcomes created when you control the movement of physical atoms. That is the physical intelligence layer for commerce. And that is what Stord Labs is built to advance. Deploying AI and robotics against real operational complexity, in the real world, across a vertically integrated network operating at scale. Bloomberg TV

Sean Henry

1,275,489 次观看 • 4 个月前

The real opportunity with AI is not simply doing the same work faster. It is reimagining how work gets done. At unlimITed 2026, leaders explored what that shift could mean for human expertise, responsible innovation, and investor outcomes.

The real opportunity with AI is not simply doing the same work faster. It is reimagining how work gets done. At unlimITed 2026, leaders explored what that shift could mean for human expertise, responsible innovation, and investor outcomes.

Vanguard

10,678 次观看 • 1 个月前

The next wave of AI will not be one model doing everything. It will be specialized agents built around real domains, real knowledge, and real usage. That is what OptimAI is building with Search, Claw, Persona Agents, and Marketplace. Create an agent. Give it expertise. Publish it. Let it be used. That is how intelligence becomes infrastructure. 💡Build yours at:

The next wave of AI will not be one model doing everything. It will be specialized agents built around real domains, real knowledge, and real usage. That is what OptimAI is building with Search, Claw, Persona Agents, and Marketplace. Create an agent. Give it expertise. Publish it. Let it be used. That is how intelligence becomes infrastructure. 💡Build yours at:

OptimAI Network

24,312 次观看 • 5 个月前

Ilya Sutskever explains the 1% human training loop, and why fully autonomous AI is the wrong target "The thing you really want is for the human teachers that tell, that teach the AI, for them to collaborate with an AI." "You might want to think of it as being in a world where the human teachers do 1% of the world and the work and the AI do 99% of the work." "You don't want it to be 100% AI" "But you do want it to be a human-machine collaboration which teaches the next machine." Most teams are trying to remove the human from the loop. Ilya's design keeps a tiny human control surface and uses it to teach the next generation. The leverage is not zero humans. It is 1% human judgment steering 99% machine work. - Ilya Sutskever (Ilya Sutskever), AI researcher, on Dwarkesh Patel

Ilya Sutskever explains the 1% human training loop, and why fully autonomous AI is the wrong target "The thing you really want is for the human teachers that tell, that teach the AI, for them to collaborate with an AI." "You might want to think of it as being in a world where the human teachers do 1% of the world and the work and the AI do 99% of the work." "You don't want it to be 100% AI" "But you do want it to be a human-machine collaboration which teaches the next machine." Most teams are trying to remove the human from the loop. Ilya's design keeps a tiny human control surface and uses it to teach the next generation. The leverage is not zero humans. It is 1% human judgment steering 99% machine work. - Ilya Sutskever (Ilya Sutskever), AI researcher, on Dwarkesh Patel

Karl Mehta

30,651 次观看 • 2 个月前

The US is the only country that is beginning to foster anti Clanker movements from AI to Robots. Significant and harsh penalties for this behavior in most places. A mind virus.

The US is the only country that is beginning to foster anti Clanker movements from AI to Robots. Significant and harsh penalties for this behavior in most places. A mind virus.

Brian Roemmele

85,146 次观看 • 5 个月前

🎤 Overheard at #CES2026: Physical AI is moving intelligence from the cloud into the real world, and AMD is powering that shift with a full portfolio that enables robots to sense, decide, and act in real time across industries like healthcare, agriculture, and manufacturing.

🎤 Overheard at #CES2026: Physical AI is moving intelligence from the cloud into the real world, and AMD is powering that shift with a full portfolio that enables robots to sense, decide, and act in real time across industries like healthcare, agriculture, and manufacturing.

AMD

19,488 次观看 • 8 个月前

DeFi’s next step is into the real world by financing physical infrastructure. Here’s a talk I gave a few months ago explaining what DePIN is and why we’re excited about it. The future of crypto is real (assets).

DeFi’s next step is into the real world by financing physical infrastructure. Here’s a talk I gave a few months ago explaining what DePIN is and why we’re excited about it. The future of crypto is real (assets).

Guy Wuollet

41,955 次观看 • 8 个月前

bonuz entered the Dubai-it Award today, in four categories. This is the film we filed with it. A real phone. A real Dubai street. A city that answers when you point at it. LIFE mode is rolling out now. Made in Dubai, built for the World. @dubaiitaward #DubaiIt #bonuz

bonuz entered the Dubai-it Award today, in four categories. This is the film we filed with it. A real phone. A real Dubai street. A city that answers when you point at it. LIFE mode is rolling out now. Made in Dubai, built for the World. @dubaiitaward #DubaiIt #bonuz

bonuz Human Layer

34,334 次观看 • 28 天前

Introducing Sparrow-1, a conversational-flow control model built for real-time conversational video that sets the benchmark for human-level conversational timing and understanding in real-time AI.

Introducing Sparrow-1, a conversational-flow control model built for real-time conversational video that sets the benchmark for human-level conversational timing and understanding in real-time AI.

Tavus

47,995 次观看 • 8 个月前

Glider was built to make investing feel effortless. Today, that vision becomes real. We're now open to everyone, starting on Base. The first step towards a simpler, more connected DeFi world. This is only the beginning. 🦇♾️

Glider was built to make investing feel effortless. Today, that vision becomes real. We're now open to everyone, starting on Base. The first step towards a simpler, more connected DeFi world. This is only the beginning. 🦇♾️

Glider

319,334 次观看 • 11 个月前

Robotics doesn't have a model problem. It has a data problem. And underneath that, a deployment problem. Physical AI progresses through real-world interaction. Robots act, fail, recover, and adapt. Without shared standards, every team relearns the same lessons in isolation. Deployment standards determine whether learning compounds or resets. PrismaX is the service layer for physical AI. We run the systems that define how robots get deployed, standardize how interaction data is generated, and integrate human judgment where models fall short, turning fragmented robotics capability into deployable infrastructure. Our Mission: Enable people and robots to work together by setting the standards that allow physical AI systems to learn and improve through real-world operation. Our Vision: A world where intelligent robots are deployed responsibly and at scale, supported by systems that embed human judgment into how intelligence advances. The next chapter for physical AI is about turning real-world operation into scalable intelligence. More soon.

Robotics doesn't have a model problem. It has a data problem. And underneath that, a deployment problem. Physical AI progresses through real-world interaction. Robots act, fail, recover, and adapt. Without shared standards, every team relearns the same lessons in isolation. Deployment standards determine whether learning compounds or resets. PrismaX is the service layer for physical AI. We run the systems that define how robots get deployed, standardize how interaction data is generated, and integrate human judgment where models fall short, turning fragmented robotics capability into deployable infrastructure. Our Mission: Enable people and robots to work together by setting the standards that allow physical AI systems to learn and improve through real-world operation. Our Vision: A world where intelligent robots are deployed responsibly and at scale, supported by systems that embed human judgment into how intelligence advances. The next chapter for physical AI is about turning real-world operation into scalable intelligence. More soon.

PrismaX

15,336 次观看 • 5 个月前

Built a tiny custom app that lets me yell at my computer and turns it into coherent writing—instantly in my clipboard. Personal software is already here. Mass-market is next. The middle is death. AI differentiation will come down to: - Regulatory leverage - Real network effects - Proprietary data that compounds the experience

Built a tiny custom app that lets me yell at my computer and turns it into coherent writing—instantly in my clipboard. Personal software is already here. Mass-market is next. The middle is death. AI differentiation will come down to: - Regulatory leverage - Real network effects - Proprietary data that compounds the experience

Carl Rivera

18,928 次观看 • 8 个月前

Waterworld (1995) gets clowned for the budget and the chaos, but the commitment is undeniable. Real atolls built in the ocean, stunt work happening on actual water, and a fully realized drowned world. It swings big, and that ambition is part of the appeal.

Waterworld (1995) gets clowned for the budget and the chaos, but the commitment is undeniable. Real atolls built in the ocean, stunt work happening on actual water, and a fully realized drowned world. It swings big, and that ambition is part of the appeal.

cinesthetic.

1,479,821 次观看 • 7 个月前

The geniuses at YouTube have decided that our latest episode of Bridge Kids will only be set as "for kids" and that their decision is final. They claim a real human reviewed the video and made this decision too! Here is what a real human at YT thinks a video for kids looks like

The geniuses at YouTube have decided that our latest episode of Bridge Kids will only be set as "for kids" and that their decision is final. They claim a real human reviewed the video and made this decision too! Here is what a real human at YT thinks a video for kids looks like

Adam Mickiewicz

903,509 次观看 • 1 个月前

Model shaping is still a craft of a few. That's what AI agents are for: learning it and doing it for everyone else. As a part of FrontierSWE benchmark we built a 20-hour post-training task on Tinker and found the real bottleneck is research intuition.

Model shaping is still a craft of a few. That's what AI agents are for: learning it and doing it for everyone else. As a part of FrontierSWE benchmark we built a 20-hour post-training task on Tinker and found the real bottleneck is research intuition.

Thoughtful

231,711 次观看 • 5 个月前

Demis Hassabis says an “AlphaFold moment” for the physical world could be close—real robots doing useful tasks reliably in the real world. Gemini was built multimodal so a future assistant can understand what you see on a phone or glasses. That same “understand the world” ability is a direct bridge into robotics, says Demis Hassabis. Physical intelligence becomes real when robots stop being demos and start being dependable helpers.

Demis Hassabis says an “AlphaFold moment” for the physical world could be close—real robots doing useful tasks reliably in the real world. Gemini was built multimodal so a future assistant can understand what you see on a phone or glasses. That same “understand the world” ability is a direct bridge into robotics, says Demis Hassabis. Physical intelligence becomes real when robots stop being demos and start being dependable helpers.

Wes Roth

21,658 次观看 • 8 个月前