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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

42,924 subscribers

33,537 просмотров • 6 месяцев назад •via X (Twitter)

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Комментарии: 10

Фото профиля ARC Prize

ARC Prize6 месяцев назад

@sama @deedydas View on youtube:

Фото профиля Leon Greco

Leon Greco6 месяцев назад

@fchollet @sama @deedydas Pierre-Yves Oudeyer

Фото профиля BioX

BioX6 месяцев назад

@fchollet @sama @deedydas @anupamme don't watch this

Фото профиля Zoe

Zoe6 месяцев назад

This frames AGI not merely as a technological milestone but as a societal one. Thinking of AGI as a “parent” emphasizes responsibility: these systems may guide, teach, or influence humanity in profound ways. The ARC-AGI-3 benchmark becomes a tangible measure of progress, but hitting >85% isn’t just a technical achievement—it signals a step toward systems that can understand and navigate complex human values.

Фото профиля Burny - Effective Curiosity

Burny - Effective Curiosity6 месяцев назад

@fchollet @sama @deedydas So Chollet predicts that it will take at least a year until ARC-AGI 3 is saturated. I predict it will take less than that.

Фото профиля Viswanadh Reddy

Viswanadh Reddy6 месяцев назад

@fchollet @sama @deedydas look at @fchollet face when sam talking some weird things @sama he dont know anything just hyping AGI taking investors putting in bad ass GPUs he do not know about any technical stuff ,i never sawed he speaking about technically

Фото профиля Twlvone

Twlvone6 месяцев назад

@fchollet @sama @deedydas chollet and altman in the same room is wild. the guy who designed the benchmark that defines AGI and the guy building the systems trying to pass it. curious what the >85% timeline consensus is

Фото профиля あいり｜海外AIニュースを毎日届ける人

あいり｜海外AIニュースを毎日届ける人6 месяцев назад

@fchollet @sama @deedydas こちらで詳しく解説しました！ I wrote a detailed breakdown here:

Фото профиля Think_Different_

Think_Different_6 месяцев назад

@fchollet @sama @deedydas ARC is an irrelevant benchmark

Фото профиля Partnerly

Partnerly6 месяцев назад

The 'AGI as a parent' framing from @fchollet is the most underrated GTM insight in AI right now — the social contract between AI systems and humans will define which products actually get adopted at scale. @deedydas great moderation, this is the kind of conversation the industry needs.

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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

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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

221,937 просмотров • 1 год назад

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 просмотров • 7 месяцев назад

It seems that the original idea for ARC-AGI-4 was completely scrapped and they're going directly to ARC-AGI-5 "There will be ARC 4, which will be in the spirit of ARC 3, but more focused on continual learning and curriculum learning at longer timescales. So you're going to have fewer games, but they're going to have way more levels. And the levels are going to be compounding, meaning that for each level you need to reuse stuff that you've learned before. And then that's going to be ARC 5. And I'm actually really, really excited about ARC 5. It's very, very new and different. It's all about invention. And, I mean, you'll see what that means. Eventually, I expect we'll run out of things to test. As we get closer to AGI, eventually there will be no measurable difference between human capabilities—human learning efficiency—and frontier AI. And when that happens, when it becomes effectively impossible to measure the gap, this is the AGI moment."

It seems that the original idea for ARC-AGI-4 was completely scrapped and they're going directly to ARC-AGI-5 "There will be ARC 4, which will be in the spirit of ARC 3, but more focused on continual learning and curriculum learning at longer timescales. So you're going to have fewer games, but they're going to have way more levels. And the levels are going to be compounding, meaning that for each level you need to reuse stuff that you've learned before. And then that's going to be ARC 5. And I'm actually really, really excited about ARC 5. It's very, very new and different. It's all about invention. And, I mean, you'll see what that means. Eventually, I expect we'll run out of things to test. As we get closer to AGI, eventually there will be no measurable difference between human capabilities—human learning efficiency—and frontier AI. And when that happens, when it becomes effectively impossible to measure the gap, this is the AGI moment."

Psyho

69,328 просмотров • 1 месяц назад

I seriously wonder why Yann Lecun takes such different positions from Sam Altman and Dario Amodei. Sam and Dario have made it clear in their posts that they believe reasoning will be solved, if not now, then in a few years' time. What's more: in his last post, Dario said that AGI could be realized as early as 2026. And Sam Altman also says that ASI will come in a few thousand days. So why is Yann again talking about assuming decades? Does it have a more complex definition? Has Meta lost more ground after all? So far I don't have a well-founded answer.

I seriously wonder why Yann Lecun takes such different positions from Sam Altman and Dario Amodei. Sam and Dario have made it clear in their posts that they believe reasoning will be solved, if not now, then in a few years' time. What's more: in his last post, Dario said that AGI could be realized as early as 2026. And Sam Altman also says that ASI will come in a few thousand days. So why is Yann again talking about assuming decades? Does it have a more complex definition? Has Meta lost more ground after all? So far I don't have a well-founded answer.

Chubby♨️

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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

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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. Tufa Labs 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. Tufa Labs 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?

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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

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325,715 просмотров • 1 год назад

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."

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🚨 BREAKING: OpenAI CEO finally admits they were hyping AGI timelines ever since GPT-4 Sam Altman: >“i thought… when we got to GPT-4 in 2023… >“very quickly… there was going to be much more disruption” >AGI coming in 2 weeks! >“software business… up for grabs” >give me $500 billion dollars now! >*2 years later* >“I think I was wrong…” >“the economy just has so much inertia!” >“i think that’s actually positive!” >“society and the economy will adapt more slowly” >“I am grateful for it” >“we’ve all been too ambitious on timelines” LOL, LMAO even.

🚨 BREAKING: OpenAI CEO finally admits they were hyping AGI timelines ever since GPT-4 Sam Altman: >“i thought… when we got to GPT-4 in 2023… >“very quickly… there was going to be much more disruption” >AGI coming in 2 weeks! >“software business… up for grabs” >give me $500 billion dollars now! >2 years later >“I think I was wrong…” >“the economy just has so much inertia!” >“i think that’s actually positive!” >“society and the economy will adapt more slowly” >“I am grateful for it” >“we’ve all been too ambitious on timelines” LOL, LMAO even.

NIK

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a16z

1,301,404 просмотров • 1 год назад

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 просмотров • 11 месяцев назад

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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

189,835 просмотров • 1 год назад