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Dario says robotics will be revolutionized once AI models can control them, whether through human-like learning, training on simulations, or in-context learning. The path doesn't matter. Both robot design and control will improve, happening maybe 1-2 years after key AI breakthroughs.

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The Humanoid Labs

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15,270 görüntüleme • 7 ay önce •via X (Twitter)

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meet me in orbit profil fotoğrafı
meet me in orbit7 ay önce

Can't happen soon enough

NewAIWorld profil fotoğrafı
NewAIWorld7 ay önce

We are essentially building the nervous system before the body. The physical world has much higher stakes and zero tolerance for hallucinations. Hardware is the only thing keeping reality from moving at the speed of silicon.

Gary Myers profil fotoğrafı
Gary Myers7 ay önce

SBOL is that breakthrough.

Himanshu Kumar profil fotoğrafı
Himanshu Kumar7 ay önce

@TheHumanoidLabs, Dario's right, AI-driven control will indeed change robotics significantly, especially with advanced learning.

Tommy AutoTech profil fotoğrafı
Tommy AutoTech7 ay önce

AI-controlled robots? Now my warehouse automation dreams might finally come true! Bring on the revolution!

Mike Takac profil fotoğrafı
Mike Takac7 ay önce

Race to quantum AGI, “Global Civility,” an AI-generated sci-fi movie based on a nonfiction book:

Today in AI profil fotoğrafı
Today in AI7 ay önce

Amodei's 2026-2027 timeline for Nobel-level intelligence hinges on the transition to end-to-end SWE automation. The 50% white-collar job delta is the inevitable result of 300GW compute scaling benchmarks.

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"Will the robotics industry will be generating trillions of dollars of revenue?", "YES." Dario Amodei says breakthroughs in robotics could emerge in several ways, such as through continual learning or generalization. Once achieved, these models will revolutionize both robot design and control. However, it will likely take another year or two from that point for the technology to diffuse through the economy.
1:54

"Will the robotics industry will be generating trillions of dollars of revenue?", "YES." Dario Amodei says breakthroughs in robotics could emerge in several ways, such as through continual learning or generalization. Once achieved, these models will revolutionize both robot design and control. However, it will likely take another year or two from that point for the technology to diffuse through the economy.

The Humanoid Hub

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Humanoids are an important form factor for developing physical AI models, says Carolina Parada, Google DeepMind's head of robotics, telling Tom Mackenzie their human-like design can make both deployment and learning easier
1:25

Humanoids are an important form factor for developing physical AI models, says Carolina Parada, Google DeepMind's head of robotics, telling Tom Mackenzie their human-like design can make both deployment and learning easier

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.Oliver Cameron says one of the biggest applications for world models will be training AI inside simulated environments. "One of the killer applications of world models will be as a learning environment where language models and other types of AI can learn. It gets very much philosophical."
1:33

.Oliver Cameron says one of the biggest applications for world models will be training AI inside simulated environments. "One of the killer applications of world models will be as a learning environment where language models and other types of AI can learn. It gets very much philosophical."

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AGI probably needs 1-2 new breakthroughs, like continual learning, selective memory, smarter context windows, and long term planning. ~ Google DeepMind CEO Demis Hassabis But in any case, large foundation models will remain the key component of AGI. --- From 'Alex Kantrowitz' YT channel (link in comment)
0:59

AGI probably needs 1-2 new breakthroughs, like continual learning, selective memory, smarter context windows, and long term planning. ~ Google DeepMind CEO Demis Hassabis But in any case, large foundation models will remain the key component of AGI. --- From 'Alex Kantrowitz' YT channel (link in comment)

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Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)
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Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)

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"Is it Bitter Lesson-pilled?" — the most used, and most misused, phrase in AI right now. Richard Sutton sums it up on the latest Training Data with Khurram Javed , Sonya Huang 🐥, Alfred Lin "Don't be distracted by human knowledge, as AI traditionally has been many times. Instead, focus on learning methods that will scale with computation, like search and like learning."
1:02

"Is it Bitter Lesson-pilled?" — the most used, and most misused, phrase in AI right now. Richard Sutton sums it up on the latest Training Data with Khurram Javed , Sonya Huang 🐥, Alfred Lin "Don't be distracted by human knowledge, as AI traditionally has been many times. Instead, focus on learning methods that will scale with computation, like search and like learning."

Sequoia Capital

28,612 görüntüleme • 22 gün önce

Robot AI brains, aka Vision-Language-Action models, cannot adapt to new tasks as easily as LLMs like Gemini, ChatGPT, or Grok. LLMs can adapt quickly with their in-context learning (ICL) capabilities. But can we inject ICL abilities into a pre-trained VLA like pi0? Yes! Introducing RICL (Retraining for In-Context Learning), our Conference on Robot Learning (CoRL) 2025 paper. Our RICL-pi0 model can adapt to unseen objects, novel motions, and new scenes with just ICL and RAG (retrieval-augmented generation). RICL-pi0 also boosts performance on the long-tail of tasks. A quick 1 minute video summary:
1:03

Robot AI brains, aka Vision-Language-Action models, cannot adapt to new tasks as easily as LLMs like Gemini, ChatGPT, or Grok. LLMs can adapt quickly with their in-context learning (ICL) capabilities. But can we inject ICL abilities into a pre-trained VLA like pi0? Yes! Introducing RICL (Retraining for In-Context Learning), our Conference on Robot Learning (CoRL) 2025 paper. Our RICL-pi0 model can adapt to unseen objects, novel motions, and new scenes with just ICL and RAG (retrieval-augmented generation). RICL-pi0 also boosts performance on the long-tail of tasks. A quick 1 minute video summary:

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Marc Andreessen says that because AI will be the control layer on everything from finance to home security, the Biden administration was trying to create a censorship regime on AI, where 2 or 3 AI companies had control of the market and were in turn controlled by the government
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Marc Andreessen says that because AI will be the control layer on everything from finance to home security, the Biden administration was trying to create a censorship regime on AI, where 2 or 3 AI companies had control of the market and were in turn controlled by the government

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Jensen Huang explains that AI has progressed through four major phases. The first wave was Perception AI, where deep learning enabled superhuman vision and speech recognition. The second wave was Generative AI, allowing AI to create text, images, video, and more. We are now in the third wave, Reasoning AI, where models can think through problems, apply logic, and even conduct research. The fourth wave will be Physical AI, where models gain real-world understanding and common sense, leading to advanced robotics.

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Elon Musk says once AI becomes intelligent enough, they will likely be in charge of humans as we lose all control—drawing a stark parallel to the intelligence gap between humans and chimpanzees “If The difference in intelligence between AI and humans is vastly greater than the difference in intelligence between AI & Chimpanzees, It’s hard to imagine that the chimpanzees will be in charge.” — later saying humans will be like very happy pet Labradors. Are you ready to be a pet Labrador for an AI robot?
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Elon Musk says once AI becomes intelligent enough, they will likely be in charge of humans as we lose all control—drawing a stark parallel to the intelligence gap between humans and chimpanzees “If The difference in intelligence between AI and humans is vastly greater than the difference in intelligence between AI & Chimpanzees, It’s hard to imagine that the chimpanzees will be in charge.” — later saying humans will be like very happy pet Labradors. Are you ready to be a pet Labrador for an AI robot?

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The next 5 years will be wild. Knowing how to code and how these AI models work will give you infinite leverage. We integrated OpenAI's Whisper with Spot. We can now control the robot using our voice! Nothing is more rewarding than seeing your code walk on four legs.
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The next 5 years will be wild. Knowing how to code and how these AI models work will give you infinite leverage. We integrated OpenAI's Whisper with Spot. We can now control the robot using our voice! Nothing is more rewarding than seeing your code walk on four legs.

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🚨 CHINA TO MAKE EVERY CHINESE KID AN AI WHIZZ China just made AI training mandatory in schools, starting in first grade. By high school, kids will know how to train models, build neural networks, and do data analysis, while American kids are working on their multiplication tables. They’re adding courses in robotics, machine learning, and even digital ethics for high schoolers. The goal? turn the tables on the West and take control of humanity's future. Source: hyujkrrf on TikTok

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1:23

Sam Altman says AI will replace many phone- and computer-based customer support jobs Roles that require human connection, like nursing, will remain safe The biggest uncertainty is programmers and software engineers, because AI makes them far more productive, So whether that leads to more or fewer jobs in 5-10 years is unclear

Haider.

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Ilya Sutskever predicts that in the coming years—whether it’s three, five, or ten—AI will be able to do everything humans can do. He argues that since the brain is a biological computer, a digital computer should, in theory, be capable of learning and performing all the same tasks. This belief underpins his confidence in the arrival of truly general AI.
2:01

Ilya Sutskever predicts that in the coming years—whether it’s three, five, or ten—AI will be able to do everything humans can do. He argues that since the brain is a biological computer, a digital computer should, in theory, be capable of learning and performing all the same tasks. This belief underpins his confidence in the arrival of truly general AI.

Wes Roth

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Shopify merchants will be able to sell in Google AI Mode and the Gemini app, powered by UCP. Earlier this week, we also launched checkout in Microsoft Copilot, and ChatGPT started rolling out last year. Merchants have control over the AI platforms they sell through and can turn them on or off in the admin.
0:27

Shopify merchants will be able to sell in Google AI Mode and the Gemini app, powered by UCP. Earlier this week, we also launched checkout in Microsoft Copilot, and ChatGPT started rolling out last year. Merchants have control over the AI platforms they sell through and can turn them on or off in the admin.

tobi lutke

42,076 görüntüleme • 8 ay önce

This robot assistant from the NVIDIA CES Keynote on Monday is going viral. Nader Khalil🍊 explains all the hottest emerging AI trends in one demo: AI applications in 2026 will be multi-model, multi-modal, hybrid cloud/local, use open source models as well as proprietary models, control robots and embedded devices in the physical world, and have voice interfaces. (And the demo had a cute robot *and* a cute dog. Gold.) The demo was built with Pipecat AI. NVIDIA posted a really nice technical walk-through and complete code. The Reachy Mini robot from Hugging Face is open source hardware. (You can order it now, I have one!). You can run the assistant locally on your own hardware, in the cloud, or both.
2:26

This robot assistant from the NVIDIA CES Keynote on Monday is going viral. Nader Khalil🍊 explains all the hottest emerging AI trends in one demo: AI applications in 2026 will be multi-model, multi-modal, hybrid cloud/local, use open source models as well as proprietary models, control robots and embedded devices in the physical world, and have voice interfaces. (And the demo had a cute robot *and* a cute dog. Gold.) The demo was built with Pipecat AI. NVIDIA posted a really nice technical walk-through and complete code. The Reachy Mini robot from Hugging Face is open source hardware. (You can order it now, I have one!). You can run the assistant locally on your own hardware, in the cloud, or both.

kwindla

49,032 görüntüleme • 8 ay önce