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。

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

a16z

1,065,953 subscribers

73,118 次观看 • 1 年前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

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

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

Elad Gil

25,995 次观看 • 6 个月前

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 次观看 • 6 个月前

“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

“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

a16z

96,875 次观看 • 1 年前

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

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

a16z

41,427 次观看 • 6 个月前

📁 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.

Jon Hernandez

20,592 次观看 • 8 个月前

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.

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.

Arena.ai

21,583 次观看 • 1 个月前

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

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

Temi

37,903 次观看 • 4 个月前

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.”

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.”

a16z

66,854 次观看 • 1 年前

Sequoia’s Julien Bek says many of their founders are now wondering if they’re “just an iteration away” from AI labs destroying their business. He says the most defensible companies - and potentially the next trillion-dollar company - will be “a software business that masquerades as a services firm.” “If you sell tools today, you’re really in the line of sight for the models and you’re effectively competing with the next generation that they’re going to launch.” “Whereas if you sell the work, you’re actually benefiting from what the models are doing and all the billions of dollars that are going towards AI.”

Sequoia’s Julien Bek says many of their founders are now wondering if they’re “just an iteration away” from AI labs destroying their business. He says the most defensible companies - and potentially the next trillion-dollar company - will be “a software business that masquerades as a services firm.” “If you sell tools today, you’re really in the line of sight for the models and you’re effectively competing with the next generation that they’re going to launch.” “Whereas if you sell the work, you’re actually benefiting from what the models are doing and all the billions of dollars that are going towards AI.”

TBPN

684,800 次观看 • 7 个月前

World Labs CEO Dr. Fei-Fei Li says AI must change how we teach and evaluate students: "AI must change learning. AI must change K-16 learning." "The most precious resource of our entire world is human capital." "When we have gotten the technology that can answer standardized tests... when AI can do better than an average human, it's not about humans are bad. It's about we need to change the education system." "We need to change how we evaluate. We need to change the way we empower teachers to educate the next generation of students where they can use these tools, be empowered, and do things that we can never imagine." "All of the kids today should not be scared of AI. They should feel the human agency to lead AI, to use AI in the right way, and to use AI to make the impact that they want to make for the world." Fei-Fei Li at Bloomberg Tech live with Emily Chang

World Labs CEO Dr. Fei-Fei Li says AI must change how we teach and evaluate students: "AI must change learning. AI must change K-16 learning." "The most precious resource of our entire world is human capital." "When we have gotten the technology that can answer standardized tests... when AI can do better than an average human, it's not about humans are bad. It's about we need to change the education system." "We need to change how we evaluate. We need to change the way we empower teachers to educate the next generation of students where they can use these tools, be empowered, and do things that we can never imagine." "All of the kids today should not be scared of AI. They should feel the human agency to lead AI, to use AI in the right way, and to use AI to make the impact that they want to make for the world." Fei-Fei Li at Bloomberg Tech live with Emily Chang

a16z

82,018 次观看 • 4 个月前

.atlas on the reason he thinks Bay Area AI researchers are missing something obvious about the economy: "I do properly think that researchers here in the Bay Area fundamentally misunderstand economics and the idea that humans transact with other humans." "We can have all the infrastructure, right, the API endpoints, agents interacting with other agents, those sorts of things. But I do think people here in the Bay Area, we index so much off of software and the recursive self-improvement of software." "This idea of software-only singularity, I do think we're probably closer to that." "But people like Liam Fedus building Periodic Labs, trying to gather data in the real world, building with atoms and not bits, there's just such a lag."

.atlas on the reason he thinks Bay Area AI researchers are missing something obvious about the economy: "I do properly think that researchers here in the Bay Area fundamentally misunderstand economics and the idea that humans transact with other humans." "We can have all the infrastructure, right, the API endpoints, agents interacting with other agents, those sorts of things. But I do think people here in the Bay Area, we index so much off of software and the recursive self-improvement of software." "This idea of software-only singularity, I do think we're probably closer to that." "But people like Liam Fedus building Periodic Labs, trying to gather data in the real world, building with atoms and not bits, there's just such a lag."

MTS

11,147 次观看 • 3 个月前

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? 👀

VraserX e/acc

19,202 次观看 • 8 个月前

We're hiring in robot learning at World Labs! Join me, Fei-Fei Li, and the team to define and scale the next generation of world models for robot learning! Atlas for Robotics: Real-to-Sim-to-Real: Apply:

We're hiring in robot learning at World Labs! Join me, Fei-Fei Li, and the team to define and scale the next generation of world models for robot learning! Atlas for Robotics: Real-to-Sim-to-Real: Apply:

Yunzhu Li

169,059 次观看 • 23 天前

Arena AutoEval uses tens of millions of historical Arena battles from humans, to train a reward model that can estimate human preferences at scale, and deliver evaluation results at frontier speed. Unlike LLM-as-judge methods, AutoEval remains a live benchmark: it is derived from existing real-world battles, with the reward model scoring from human prompts and model responses. Arena ML Engineers, Haoran Guo and Wayne Zhang, discuss AutoEval below. Watch the full video to learn more about AutoEval’s methodology and model lab use cases in the post below.

Arena AutoEval uses tens of millions of historical Arena battles from humans, to train a reward model that can estimate human preferences at scale, and deliver evaluation results at frontier speed. Unlike LLM-as-judge methods, AutoEval remains a live benchmark: it is derived from existing real-world battles, with the reward model scoring from human prompts and model responses. Arena ML Engineers, Haoran Guo and Wayne Zhang, discuss AutoEval below. Watch the full video to learn more about AutoEval’s methodology and model lab use cases in the post below.

Arena.ai

34,516 次观看 • 1 个月前

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 @realgeordierose, CEO and Co-founder at Sanctuary AI. Learn more: #EmbodiedAI #AI #PhoenixGen7 #SanctuaryAI

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 @realgeordierose, CEO and Co-founder at Sanctuary AI. Learn more: #EmbodiedAI #AI #PhoenixGen7 #SanctuaryAI

Sanctuary AI

187,384 次观看 • 2 年前

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.

Lilly

27,411 次观看 • 5 个月前

🚨JUST IN: INTERLINK FOUNDATION UNVEILS FIRST WAVE OF HUMAN + AI CURATORS InterLink Labs 👤 + 🌐 Foundation (InterLink Foundation) has announced its first batch of Curators following a multi-stage vetting process. The lineup includes 9 Human Curators across regions such as India, China, Indonesia, Korea, and Nigeria, as well as global roles, alongside 4 AI Curators powered by models like Grok, Claude, Gemini, and ChatGPT. Users can freely choose their Curator with no system assignment, while identities remain partially undisclosed to prevent manipulation. The foundation says strict oversight will be enforced to maintain fairness and integrity.

🚨JUST IN: INTERLINK FOUNDATION UNVEILS FIRST WAVE OF HUMAN + AI CURATORS InterLink Labs 👤 + 🌐 Foundation (InterLink Foundation) has announced its first batch of Curators following a multi-stage vetting process. The lineup includes 9 Human Curators across regions such as India, China, Indonesia, Korea, and Nigeria, as well as global roles, alongside 4 AI Curators powered by models like Grok, Claude, Gemini, and ChatGPT. Users can freely choose their Curator with no system assignment, while identities remain partially undisclosed to prevent manipulation. The foundation says strict oversight will be enforced to maintain fairness and integrity.

BSCN

23,903 次观看 • 6 个月前

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

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

a16z

79,909 次观看 • 6 个月前

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"

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"

Tsarathustra

405,902 次观看 • 2 年前