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ChatGPT learned from human feedback. The next generation of AI will learn from the laws of nature. Liam Fedus (co-creator of ChatGPT, now at Periodic Labs) says models will train through “experiment in the loop”, using real-world results, not human preference, as their reward function. Liam Fedus Periodic Labs

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73,051 views • 10 months ago •via X (Twitter)

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Fun conversation on No Priors w Liam Fedus on AI Foundation Model for Atoms from Periodic Labs -Foundation models that understand atoms -LLMs as reasoning engines -Timing to displace AI researchers Liam prior was VP Post Training at OpenAI, now CEO Periodic

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the legends at Soon and I have been on a mission to find the most jacked AI researcher and we think that Liam Fedus, co-creator of ChatGPT and co-founder of Periodic Labs might be it. check out the latest episode of Swole as a Service where he totally framemogs me while discussing whether or not AI will replace scientists 00:21 Who is Liam Fedus? 01:21 Lying skull crushers & will AI replace scientists? 03:05 Barbell curls, Jayden’s fitness tips, & why build an AI scientist now? 05:17 Hammer curls & is the singularity imminent? 07:43 Sleds & is the permanent underclass meme real? 08:37 Chestmaxxer Challenge & why hasn’t AI cured all diseases?

the legends at Soon and I have been on a mission to find the most jacked AI researcher and we think that Liam Fedus, co-creator of ChatGPT and co-founder of Periodic Labs might be it. check out the latest episode of Swole as a Service where he totally framemogs me while discussing whether or not AI will replace scientists 00:21 Who is Liam Fedus? 01:21 Lying skull crushers & will AI replace scientists? 03:05 Barbell curls, Jayden’s fitness tips, & why build an AI scientist now? 05:17 Hammer curls & is the singularity imminent? 07:43 Sleds & is the permanent underclass meme real? 08:37 Chestmaxxer Challenge & why hasn’t AI cured all diseases?

atlas

160,341 views • 4 months ago

“Foundation models but for quantum mechanics, will be the next frontier for LLMs.” Periodic Labs’ Ekin Dogus Cubuk says logic and math gave AI its first proofs. At the quantum scale, where biology, chemistry and materials converge, models could begin inventing new matter itself. Ekin Dogus Cubuk Periodic Labs

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a16z

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Periodic Labs cofounder Liam Fedus on why so many physicists are working on AI: "I think [physics is] a great way to think about the world. It's very principled, very hard-nosed scientists, very careful. And I think it's just such an incredible field. You have such high leverage in computer science, in AI. And so I think a lot of physicists were seeing that." "After the discovery of the Higgs, I think a lot of high energy physicists were sort of looking for what's next." "Ultimately it becomes bottlenecked on the new apparatus for pushing the next energy frontier." "And I think a lot of physicists were looking at their skillset and looking at the progress elsewhere and saying like, hey, I think I could be a huge contributor elsewhere." Liam Fedus on No Priors with Elad Gil

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41,292 views • 4 months ago

📁 Fei-Fei Li founder of World Labs, says the next leap in AI is not language. Human intelligence does not just speak, it moves, perceives, and acts in the physical world. Spatial intelligence is the real core of intelligence. From text to space, from models to 3D and 4D worlds, from understanding words to interacting with reality. The next chapter is not read, it is inhabited.

📁 Fei-Fei Li founder of World Labs, says the next leap in AI is not language. Human intelligence does not just speak, it moves, perceives, and acts in the physical world. Spatial intelligence is the real core of intelligence. From text to space, from models to 3D and 4D worlds, from understanding words to interacting with reality. The next chapter is not read, it is inhabited.

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Arena AutoEval can quickly evaluate new models, allowing model labs to leverage results faster. It compresses the evaluation feedback loop from weeks to hours, enabling rapid, human-preference-based insight into a model’s capabilities. For more details, see the full video in the post below.

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Today, we’re excited to launch Attention Labs. For almost 400,000 years, humanity has progressed through a simple but powerful cycle: we learn, we build, and we pass knowledge forward. Every major leap in civilization, from fire to medicine to computing, has expanded what humans are capable of achieving. We believe AI is the next great tool in that journey. While much of the world is focused on how AI can replace human work, we are focused on a different question: How can AI amplify human potential? At Attention Labs, we are building AI to discover brain-enhancing therapeutics, solve neurocognitive diseases, and accelerate the discovery of medicines for the human mind. We believe the greatest opportunity for AI is not creating a world with fewer humans in the loop, but a world where every human can think more clearly, learn faster, create more boldly, and live more fully. The biggest source of alpha in the age of AI will not come from replacing people. It will come from empowering them. Our mission is simple: Make humans the most intelligent entity on Earth. The future belongs to those who amplify human intelligence, not those who seek to replace it. We're just getting started. Attention Labs

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The next era of software: humans in the driver’s seat, AI as acceleration. Cursor co-founder Michael Truell says real engineering is thousands of micro-decisions. Trade-offs only humans can judge. AI should amplify that, not replace it. “You’ll really want the human in the driver’s seat dictating these decisions.”

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a16z

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a16z

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Demis Hassabis says the next AI leap is continual learning. Not train once and freeze, but learn from real experience, constantly. AlphaGo did it in games. Now comes the messy real world. Would you let an AI learn from you? 👀

Demis Hassabis says the next AI leap is continual learning. Not train once and freeze, but learn from real experience, constantly. AlphaGo did it in games. Now comes the messy real world. Would you let an AI learn from you? 👀

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AI is destroying the imagination and creativity of the human mind. Works of inspired art like this cannot be created in a world dominated by ChatGPT and OpenAI. People will lose the ability to write, imagine, and create. All art will become regurgitated slop, created and manipulated by technocrats and their Indian programmers. AI is training the mind not to think.

AI is destroying the imagination and creativity of the human mind. Works of inspired art like this cannot be created in a world dominated by ChatGPT and OpenAI. People will lose the ability to write, imagine, and create. All art will become regurgitated slop, created and manipulated by technocrats and their Indian programmers. AI is training the mind not to think.

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a16z's Ben Horowitz and Erik Torenberg speak with Alex Blania, co-founder and CEO of Tools for Humanity, to cover deepfakes, proof of human, what AI means for identity, and more. They cover the technical challenge of proving human uniqueness at scale using iris biometrics, the privacy architecture behind World ID, why platforms from social networks to dating apps to video conferencing will soon require proof of human verification, and more. Introduction Three big ideas people were interested in The Orb verification piece Social media bots: Psyops and propaganda We had proof of personhood for the longest time US go-to-market Levels of verification Alex Blania Tools for Humanity benahorowitz.eth Erik Torenberg

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Jensen Huang says technology has now reached a positive feedback loop where AI is designing new AI and is now advancing at the pace of "Moore's Law squared", meaning that the progress we will see in the next year or two will be "spectacular and surprising"

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🇰🇬🇰🇮🇬🇳🇱🇦🇪🇸 🇱🇸🇰🇪🇦🇲🇬🇼🇸🇪 🇬🇩🇹🇷🇬🇾🇰🇼 Fourteen States will have their human rights records examined during the 49th session of the United Nations Human Rights Council’s Universal Periodic Review (UPR) Working Group to be held in Geneva from 28 April to 9 May 2025. #UPR49

🇰🇬🇰🇮🇬🇳🇱🇦🇪🇸 🇱🇸🇰🇪🇦🇲🇬🇼🇸🇪 🇬🇩🇹🇷🇬🇾🇰🇼 Fourteen States will have their human rights records examined during the 49th session of the United Nations Human Rights Council’s Universal Periodic Review (UPR) Working Group to be held in Geneva from 28 April to 9 May 2025. #UPR49

UN Human Rights Council

18,858 views • 1 year ago

Why LLMs are a dead end for human-level intelligence, and especially for Physical AI / Robotics. The next leap isn’t bigger language models. It’s World Models. I just dropped a full 1-hour presentation from Shanghai: “World Models: the ChatGPT moment for robotics?” → Why LLMs hit a wall → Why action-conditioned world models planning in latent space are the real path → Live World Forge demo with LeWorldModel + Hugging Face LeRobot Watch here. The future of intelligence is embodied, not just chatty.

Why LLMs are a dead end for human-level intelligence, and especially for Physical AI / Robotics. The next leap isn’t bigger language models. It’s World Models. I just dropped a full 1-hour presentation from Shanghai: “World Models: the ChatGPT moment for robotics?” → Why LLMs hit a wall → Why action-conditioned world models planning in latent space are the real path → Live World Forge demo with LeWorldModel + Hugging Face LeRobot Watch here. The future of intelligence is embodied, not just chatty.

abdel

38,919 views • 2 months ago

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

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Karl Mehta

30,631 views • 1 month ago

Introducing: Phoenix™ Gen 7 Major improvements, all delivered in less than a year. Our next generation of general-purpose technology marks an inflection point in task automation velocity. “With Generation 7, we can capture increasing quantities of higher quality, higher fidelity human behavioral data, which in turn will expedite the development of foundational AI models and customer deployments,” says Geordie Rose, CEO and Co-founder at Sanctuary AI. Learn more: #EmbodiedAI #AI #PhoenixGen7 #SanctuaryAI

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Sanctuary AI

187,298 views • 2 years ago