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。

Francois Chollet + Sam Altman Fireside François Chollet and Sam Altman fireside during ARC-AGI-3 Launch Party moderated by Deedy They discuss: - Social contracts evolving - AGI views as a parent - When will labs score >85% on ARC-AGI-3?

ARC Prize

40,097 subscribers

33,454 次观看 • 4 个月前 •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

"I've updated my AGI timeline." One year later, Dwarkesh Patel and François Chollet meet on camera again. Both of them have shifted their AGI timelines. They dive into AGI macroeconomics, the singularity, and ARC-AGI-3 preview.

"I've updated my AGI timeline." One year later, Dwarkesh Patel and François Chollet meet on camera again. Both of them have shifted their AGI timelines. They dive into AGI macroeconomics, the singularity, and ARC-AGI-3 preview.

ARC Prize

47,622 次观看 • 1 年前

"We are trying to build a new branch of machine learning. An alternative to Deep Learning itself...building something that we call Symbolic Descent." François Chollet joins the Y Combinator Lightcone podcast to share about our research at Ndea and the launch of ARC-AGI-3.

"We are trying to build a new branch of machine learning. An alternative to Deep Learning itself...building something that we call Symbolic Descent." François Chollet joins the Y Combinator Lightcone podcast to share about our research at Ndea and the launch of ARC-AGI-3.

Ndea

65,046 次观看 • 4 个月前

When will AGI happen? Sam Altman: We are in the middle of the process. It's not a single point, but a transition. "Our goal is an automated AI researcher by March 2028." It's about inching closer, surpassing humans on multiple axes.

When will AGI happen? Sam Altman: We are in the middle of the process. It's not a single point, but a transition. "Our goal is an automated AI researcher by March 2028." It's about inching closer, surpassing humans on multiple axes.

Chubby♨️

76,337 次观看 • 9 个月前

Sam Altman says the leap from GPT-4 to GPT-5 will be as big as that of GPT-3 to 4 and the plan is to integrate the GPT and o series of models into one model that can do everything - that’s the AGI

Sam Altman says the leap from GPT-4 to GPT-5 will be as big as that of GPT-3 to 4 and the plan is to integrate the GPT and o series of models into one model that can do everything - that’s the AGI

Chubby♨️

231,782 次观看 • 1 年前

"current AI models are still embarrassingly bad at many tasks" Sam Altman explains why current AI models aren't considered AGI: 1) they don't continuously learn/improve 2) can't discover new science autonomously 3) cannot perform basic knowledge work, such as completing job tasks using the internet and local files

"current AI models are still embarrassingly bad at many tasks" Sam Altman explains why current AI models aren't considered AGI: 1) they don't continuously learn/improve 2) can't discover new science autonomously 3) cannot perform basic knowledge work, such as completing job tasks using the internet and local files

Haider.

42,689 次观看 • 1 年前

Sam Altman on GPT 6 • The GDPv eval will shift some of the way we do post training • overall we are keeping the same strategy going into GPT 6 Sam Altman on AGI: Sam Altman about AGI: "we are finally in the moment": "As the closer we get to it, the fuzzier the Agi concept becomes. But the one thing that I care the most about and, to my great surprise, we're finally in the moment; where it's starting to happen is, when it can do novel discovery, when It can expand the total human knowledge base.“ I have seen some examples from credible professors, that novel math problems have been solved. Such as GPT 5 Pro reportedly solving Yu Tsumura’s 554th problem, an IMO level group theory challenge that an August preprint said no LLM had solved, so the new claim is being actively contested. Sébastien Bubeck also said GPT 5 Pro produced a new proof that tightened a bound in smooth convex optimization.

Sam Altman on GPT 6 • The GDPv eval will shift some of the way we do post training • overall we are keeping the same strategy going into GPT 6 Sam Altman on AGI: Sam Altman about AGI: "we are finally in the moment": "As the closer we get to it, the fuzzier the Agi concept becomes. But the one thing that I care the most about and, to my great surprise, we're finally in the moment; where it's starting to happen is, when it can do novel discovery, when It can expand the total human knowledge base.“ I have seen some examples from credible professors, that novel math problems have been solved. Such as GPT 5 Pro reportedly solving Yu Tsumura’s 554th problem, an IMO level group theory challenge that an August preprint said no LLM had solved, so the new claim is being actively contested. Sébastien Bubeck also said GPT 5 Pro produced a new proof that tightened a bound in smooth convex optimization.

Chris

221,718 次观看 • 10 个月前

Sam Altman says AGI has stopped being a useful definition. Instead watch two thresholds: > When more cognitive capacity exists in data centers than in human minds. He thinks this could happen by late 2028. > When CEOs, presidents, and Nobel Prize scientists can’t do their jobs without heavy reliance on AI.

Sam Altman says AGI has stopped being a useful definition. Instead watch two thresholds: > When more cognitive capacity exists in data centers than in human minds. He thinks this could happen by late 2028. > When CEOs, presidents, and Nobel Prize scientists can’t do their jobs without heavy reliance on AI.

vitrupo

101,899 次观看 • 4 个月前

François Chollet (François Chollet) has spent years asking a different question than most of the AI world. Instead of scaling what already works, he’s trying to understand what intelligence actually is and how to build it from first principles. In this episode of the Lightcone Podcast, he traces that path from his early work on deep learning to the creation of the ARC Prize, and the launch of ARC V3, a new benchmark designed to measure something deeper than performance: the ability to learn, adapt, and reason efficiently in entirely new environments. He explains why today’s systems may be hitting limits, what recent breakthroughs really mean, and why reaching true general intelligence may require a fundamentally different approach. 00:00 - AGI by 2030? 00:31 - Introducing Ndea: A New Path Beyond Deep Learning 01:08 - A New ML Paradigm 01:30 - Replacing neural nets with compact symbolic programs 03:04 - Why Ndea Isn’t Competing With Coding Agents 05:20 - Why Everyone Might Be Wrong About Scaling LLMs 07:22 - Why Coding Agents Suddenly Work So Well 08:50 - The Limits of LLMs in Non-Verifiable Domains 10:48 - What AGI Actually Means (And Why Most Definitions Are Wrong) 13:30 - Why Deep Learning Hits a Wall 14:00 - ARC’s Origin Story 18:20 - ARC Benchmarks Explained: From V1 to V3 22:49 - The RL Loop Powering Coding Agents Today 27:03 - ARC-AGI V3: Measuring “Agentic Intelligence” 31:14 - Inside the ARC Game Studio 35:31 - Could AGI Fit in 10,000 Lines of Code? 44:01 - Building Ndea: From Idea to Compounding Research Stack 46:46 - The Future of ARC: Benchmarks That Evolve With AI 47:21 - Why There’s Still Huge Opportunity for New AI Paradigms 53:37 - How to Build a Breakout Open Source Project - Lessons From Keras 56:39 - Advice For How To Think About AI

François Chollet (François Chollet) has spent years asking a different question than most of the AI world. Instead of scaling what already works, he’s trying to understand what intelligence actually is and how to build it from first principles. In this episode of the Lightcone Podcast, he traces that path from his early work on deep learning to the creation of the ARC Prize, and the launch of ARC V3, a new benchmark designed to measure something deeper than performance: the ability to learn, adapt, and reason efficiently in entirely new environments. He explains why today’s systems may be hitting limits, what recent breakthroughs really mean, and why reaching true general intelligence may require a fundamentally different approach. 00:00 - AGI by 2030? 00:31 - Introducing Ndea: A New Path Beyond Deep Learning 01:08 - A New ML Paradigm 01:30 - Replacing neural nets with compact symbolic programs 03:04 - Why Ndea Isn’t Competing With Coding Agents 05:20 - Why Everyone Might Be Wrong About Scaling LLMs 07:22 - Why Coding Agents Suddenly Work So Well 08:50 - The Limits of LLMs in Non-Verifiable Domains 10:48 - What AGI Actually Means (And Why Most Definitions Are Wrong) 13:30 - Why Deep Learning Hits a Wall 14:00 - ARC’s Origin Story 18:20 - ARC Benchmarks Explained: From V1 to V3 22:49 - The RL Loop Powering Coding Agents Today 27:03 - ARC-AGI V3: Measuring “Agentic Intelligence” 31:14 - Inside the ARC Game Studio 35:31 - Could AGI Fit in 10,000 Lines of Code? 44:01 - Building Ndea: From Idea to Compounding Research Stack 46:46 - The Future of ARC: Benchmarks That Evolve With AI 47:21 - Why There’s Still Huge Opportunity for New AI Paradigms 53:37 - How to Build a Breakout Open Source Project - Lessons From Keras 56:39 - Advice For How To Think About AI

Y Combinator

151,559 次观看 • 4 个月前

Tomorrow, Sam Altman and Greg Brockman will be on a podcast together for the first time ever. And they will give an exact date for the arrival of AGI. New models, the trial with Elon Musk, Anthropic beef, Sam personal drama, the future of compute buys, Kylie Robison and I do it all. Core Memory episode 67 hits on the Substack only. If you want the goods, it's time to sub up The Core Memory pod is on all major platforms and brought to you by Brex and @e1ventures because they have great taste.

Tomorrow, Sam Altman and Greg Brockman will be on a podcast together for the first time ever. And they will give an exact date for the arrival of AGI. New models, the trial with Elon Musk, Anthropic beef, Sam personal drama, the future of compute buys, Kylie Robison and I do it all. Core Memory episode 67 hits on the Substack only. If you want the goods, it's time to sub up The Core Memory pod is on all major platforms and brought to you by Brex and @e1ventures because they have great taste.

Ashlee Vance

254,041 次观看 • 3 个月前

Zero-person billion dollar companies. Early AGI-like breakthroughs. Viral Sora deepfakes. Sam Altman broke it all down in our exclusive DevDay conversation. Highlights: 0:00 Intro 0:43 DevDay's biggest launches 2:13 Agent Builder vs GPT Builder 3:43 The no-code revolution for AI agents 5:20 Betting pool on zero-person companies 6:50 What would 20-year-old Sam build? 10:22 GPT-5 vs Claude on GDPval 11:30 When have we achieved AGI? 12:44 Scientific breakthroughs AI will solve 13:59 AI 'work slop' costs $186/employee 16:12 Sam's viral Sora memes 20:11 Revenue sharing for cameos 22:33 1B jobs are changing 24:35 What work looks like after AGI 25:44 Global AI safety framework 27:46 Most exciting agents to build

Zero-person billion dollar companies. Early AGI-like breakthroughs. Viral Sora deepfakes. Sam Altman broke it all down in our exclusive DevDay conversation. Highlights: 0:00 Intro 0:43 DevDay's biggest launches 2:13 Agent Builder vs GPT Builder 3:43 The no-code revolution for AI agents 5:20 Betting pool on zero-person companies 6:50 What would 20-year-old Sam build? 10:22 GPT-5 vs Claude on GDPval 11:30 When have we achieved AGI? 12:44 Scientific breakthroughs AI will solve 13:59 AI 'work slop' costs $186/employee 16:12 Sam's viral Sora memes 20:11 Revenue sharing for cameos 22:33 1B jobs are changing 24:35 What work looks like after AGI 25:44 Global AI safety framework 27:46 Most exciting agents to build

Rowan Cheung

325,305 次观看 • 10 个月前

ARC-AGI-3 is built different, it has dumbfounded almost all regular attempts so far because it's so much harder than anything that came before. It has no rules, it's agentic and has no explicit goals, they need to be discovered. Tufalabs won the first milestone of ARC Prize > There is no language built into the benchmark, but these guys "put the language back in", because in their view - it's the best way to climb up the notional "abstraction mountain" and effectively use many of the abstractions which have evolved over millions of years of language evolution. > They built a novel harness "The Duck" around a 27B open weights model (Qwen 3.6) to solve extremely challenging and novel reasoning problems that require abstraction. > This is the launch video of their winning agentic harness, "The Duck". We have also released an exclusive interview with them on MLST, just dropped. > The million dollar question is: what will François Chollet think about how they've done it, and is this a step towards AGI?

ARC-AGI-3 is built different, it has dumbfounded almost all regular attempts so far because it's so much harder than anything that came before. It has no rules, it's agentic and has no explicit goals, they need to be discovered. Tufalabs won the first milestone of ARC Prize > There is no language built into the benchmark, but these guys "put the language back in", because in their view - it's the best way to climb up the notional "abstraction mountain" and effectively use many of the abstractions which have evolved over millions of years of language evolution. > They built a novel harness "The Duck" around a 27B open weights model (Qwen 3.6) to solve extremely challenging and novel reasoning problems that require abstraction. > This is the launch video of their winning agentic harness, "The Duck". We have also released an exclusive interview with them on MLST, just dropped. > The million dollar question is: what will François Chollet think about how they've done it, and is this a step towards AGI?

Machine Learning Street Talk

35,121 次观看 • 1 个月前

Sam Altman about AGI: "we are finally in the moment": "As the closer we get to it, the fuzzier the [AGI] concept becomes. But the one thing that I care the most about and, to my great surprise, we're finally in the moment; where it's starting to happen is, when it can do novel discovery, when It can expand the total human knowledge base. (...) But you see all these examples now on Twitter where scientists in these different fields are saying it made a small discovery, or it came up with a novel approach, or it figured something out."

Sam Altman about AGI: "we are finally in the moment": "As the closer we get to it, the fuzzier the [AGI] concept becomes. But the one thing that I care the most about and, to my great surprise, we're finally in the moment; where it's starting to happen is, when it can do novel discovery, when It can expand the total human knowledge base. (...) But you see all these examples now on Twitter where scientists in these different fields are saying it made a small discovery, or it came up with a novel approach, or it figured something out."

Chubby♨️

137,476 次观看 • 10 个月前

The Sam Altman Interview You know him as the CEO of OpenAI — but he's also an avid writer. We spoke not once but twice about how Sam captures ideas, clarifies his thinking, edits his writing, decides what to work on, and uses ChatGPT. Timestamps: 1:47 Will LLMs change how we write? 8:39 How does Sam use ChatGPT? 11:26 How Sam became less anxious 17:24 Sam once dreamed of being a novelist 18:37 Lessons from Peter Thiel 21:35 Lessons from Paul Graham 26:02 The book Sam Altman wants to write 28:37 Advice for startup founders 30:20 How Y Combinator shapes OpenAI 35:55 How Sam chose to work on AGI 37:35 Writing strategy memos at OpenAI 41:34 Why isn’t ChatGPT a better storyteller? 44:20 Sam's obsessive note-taking method 47:12 Will AI put writers out of work?

The Sam Altman Interview You know him as the CEO of OpenAI — but he's also an avid writer. We spoke not once but twice about how Sam captures ideas, clarifies his thinking, edits his writing, decides what to work on, and uses ChatGPT. Timestamps: 1:47 Will LLMs change how we write? 8:39 How does Sam use ChatGPT? 11:26 How Sam became less anxious 17:24 Sam once dreamed of being a novelist 18:37 Lessons from Peter Thiel 21:35 Lessons from Paul Graham 26:02 The book Sam Altman wants to write 28:37 Advice for startup founders 30:20 How Y Combinator shapes OpenAI 35:55 How Sam chose to work on AGI 37:35 Writing strategy memos at OpenAI 41:34 Why isn’t ChatGPT a better storyteller? 44:20 Sam's obsessive note-taking method 47:12 Will AI put writers out of work?

David Perell

239,731 次观看 • 1 年前

Sam Altman on Sora, Energy, and Building an AI Empire From GPT-5 to Sora, OpenAI has been making a dizzying amount of bets recently. It now acts as a frontier AGI research lab, a big tech product company with nearly a billion users, and a driver of the largest infrastructure buildout in history, all in one - plus, it’s made partnerships with Microsoft, Nvidia, Oracle, AMD, SoftBank, Oracle, and even the US government. We talked to Sam Altman about the core thesis bringing OpenAI’s bets together, why they released Sora, how they use models internally, the most informative evals for assessing AI progress, and where we’re going from here. 00:00 Introduction 00:41 OpenAI’s vision 08:01 Human-AI interfaces 09:28 AI scientists and scientific progress 17:52 Sam's operating lessons 28:33 Copyright and open source 43:03 AI talent wars 45:33 Advice for founders Sam Altman benahorowitz.eth Erik Torenberg

Sam Altman on Sora, Energy, and Building an AI Empire From GPT-5 to Sora, OpenAI has been making a dizzying amount of bets recently. It now acts as a frontier AGI research lab, a big tech product company with nearly a billion users, and a driver of the largest infrastructure buildout in history, all in one - plus, it’s made partnerships with Microsoft, Nvidia, Oracle, AMD, SoftBank, Oracle, and even the US government. We talked to Sam Altman about the core thesis bringing OpenAI’s bets together, why they released Sora, how they use models internally, the most informative evals for assessing AI progress, and where we’re going from here. 00:00 Introduction 00:41 OpenAI’s vision 08:01 Human-AI interfaces 09:28 AI scientists and scientific progress 17:52 Sam's operating lessons 28:33 Copyright and open source 43:03 AI talent wars 45:33 Advice for founders Sam Altman benahorowitz.eth Erik Torenberg

a16z

1,301,084 次观看 • 10 个月前

Sam Altman says the most important future skill won’t be learning how to build AI, but learning how to use AI to do extraordinary things. He compares it to computers: most people don’t understand how hardware is built, yet they can still use a computer to produce world-changing work. He explains that progress comes from layers—first computers, now AGI, and eventually new layers built on top by people who don’t need to understand the foundations beneath them.

Sam Altman says the most important future skill won’t be learning how to build AI, but learning how to use AI to do extraordinary things. He compares it to computers: most people don’t understand how hardware is built, yet they can still use a computer to produce world-changing work. He explains that progress comes from layers—first computers, now AGI, and eventually new layers built on top by people who don’t need to understand the foundations beneath them.

Wes Roth

102,524 次观看 • 8 个月前

Sam Altman just dropped some new ChatGPT numbers at the NYT Dealbook Summit: — 300M weekly active users — 1B messages sent daily — 1.3M US developers building on the platform But the bigger story was Sama's AGI timeline: He thinks we could the first glimpses by 2025. His prediction is that the initial impact will be subtle, but long-term changes (and the transition to superintelligence) will be "more intense than people think." More nuggets from the interview: — On relationship with Microsoft: Admitted to "some tension", but aligned on priorities — On Elon: Calls the legal situation with OpenAI "tremendously sad", and that Musk was a "mega hero" of his growing up. — Altman also doesn't think Elon would use his new political power to harm competitors, saying it would be "profoundly un-American." As always, Altman interviews never fail to provide an insightful view into the future. Full interview below:

Sam Altman just dropped some new ChatGPT numbers at the NYT Dealbook Summit: — 300M weekly active users — 1B messages sent daily — 1.3M US developers building on the platform But the bigger story was Sama's AGI timeline: He thinks we could the first glimpses by 2025. His prediction is that the initial impact will be subtle, but long-term changes (and the transition to superintelligence) will be "more intense than people think." More nuggets from the interview: — On relationship with Microsoft: Admitted to "some tension", but aligned on priorities — On Elon: Calls the legal situation with OpenAI "tremendously sad", and that Musk was a "mega hero" of his growing up. — Altman also doesn't think Elon would use his new political power to harm competitors, saying it would be "profoundly un-American." As always, Altman interviews never fail to provide an insightful view into the future. Full interview below:

Rowan Cheung

189,796 次观看 • 1 年前

Sam Altman, CEO of OpenAI, on why the iPhone, the greatest consumer device ever made, is the wrong hardware for the AI era: Sam argues the iPhone's basic design wasn't made for a world where AI needs to live alongside your entire life. "I think the iPhone is currently the greatest piece of consumer hardware ever made by a lot. Like, incredible what that has done." The iPhone was designed for a pre-AI world. Sam Altman explains: "It was not meant for a world where you needed a piece of hardware that could absorb all of the context of your life. You know, you can use the phone, you can stop using the phone, you can put it in your pocket, but it's kind of like on or off." That binary, on or off, in use or in your pocket, is the core mismatch. A device that flips between active and dormant can't continuously absorb the context that a personal AGI would need to actually be useful to you. Sam uses the conversation he's having in that moment as the example: "This has been a very interesting conversation. I would love this to be referenced by my personal AGI later, but my phone is in my pocket and it's not going to understand." The vision he's pointing toward is a device that participates differently: "I would like a device that, if I wanted to, can participate and understand and know about this conversation." The shift Sam is describing is from a device you pick up and put down, to one that quietly captures the context of your life. Without that continuous context, a personal AGI can't actually be personal.

Sam Altman, CEO of OpenAI, on why the iPhone, the greatest consumer device ever made, is the wrong hardware for the AI era: Sam argues the iPhone's basic design wasn't made for a world where AI needs to live alongside your entire life. "I think the iPhone is currently the greatest piece of consumer hardware ever made by a lot. Like, incredible what that has done." The iPhone was designed for a pre-AI world. Sam Altman explains: "It was not meant for a world where you needed a piece of hardware that could absorb all of the context of your life. You know, you can use the phone, you can stop using the phone, you can put it in your pocket, but it's kind of like on or off." That binary, on or off, in use or in your pocket, is the core mismatch. A device that flips between active and dormant can't continuously absorb the context that a personal AGI would need to actually be useful to you. Sam uses the conversation he's having in that moment as the example: "This has been a very interesting conversation. I would love this to be referenced by my personal AGI later, but my phone is in my pocket and it's not going to understand." The vision he's pointing toward is a device that participates differently: "I would like a device that, if I wanted to, can participate and understand and know about this conversation." The shift Sam is describing is from a device you pick up and put down, to one that quietly captures the context of your life. Without that continuous context, a personal AGI can't actually be personal.

Big Brain AI

25,447 次观看 • 2 个月前

Karen Hao just revealed that laid-off workers are being hired to train AI on the exact job they were fired from. MIT-trained journalist Karen Hao interviewed over 300 people for her book Empire of AI, including 90+ current and former OpenAI insiders. She got the firing story scene by scene from people in the room. Ilya Sutskever was OpenAI's chief scientist and co-founder. He cared about two things: building AGI, and building it safely. He came to believe Altman was undermining both. Sutskever told the board Altman was: - Pitting teams against each other - Telling different things to different people - Creating an environment where no one could trust anyone Mira Murati, then CTO, brought the same concerns to the board independently. The independent board members began comparing notes. They asked themselves: if this was Instacart, would Altman's behavior warrant firing him? Maybe not, they concluded. But this is not Instacart. In Sutskever's own words: "I don't think Sam is the guy who should have the finger on the button for AGI." The board fired Altman without telling Microsoft, employees, or investors. Five days later he was back. Sutskever never returned. Murati left shortly after. — Karen Hao (Karen Hao), author of Empire of AI, on The Diary of a CEO (Steven Bartlett) podcast

Karen Hao just revealed that laid-off workers are being hired to train AI on the exact job they were fired from. MIT-trained journalist Karen Hao interviewed over 300 people for her book Empire of AI, including 90+ current and former OpenAI insiders. She got the firing story scene by scene from people in the room. Ilya Sutskever was OpenAI's chief scientist and co-founder. He cared about two things: building AGI, and building it safely. He came to believe Altman was undermining both. Sutskever told the board Altman was: - Pitting teams against each other - Telling different things to different people - Creating an environment where no one could trust anyone Mira Murati, then CTO, brought the same concerns to the board independently. The independent board members began comparing notes. They asked themselves: if this was Instacart, would Altman's behavior warrant firing him? Maybe not, they concluded. But this is not Instacart. In Sutskever's own words: "I don't think Sam is the guy who should have the finger on the button for AGI." The board fired Altman without telling Microsoft, employees, or investors. Five days later he was back. Sutskever never returned. Murati left shortly after. — Karen Hao (Karen Hao), author of Empire of AI, on The Diary of a CEO (Steven Bartlett) podcast

GeniusThinking

16,426 次观看 • 3 个月前