François Chollet

17 statements across 2 episodes · 7 bullish · 5 bearish · 1 people on the record · first statement Jul 3, 2025 by François Chollet · said 2 times in 2 episodes since 2026 · across every show →

On the record as a speaker too: François Chollet's record, appearances and statements → this page counts the times other people say the name.

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brought up most by Francois Chaubard (1)

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2026 2 mentions in 2 episodes 1 per episode

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Everything said about François Chollet, oldest first

Jul 3, 2025 positive
Assertion Supported
Chollet: Every High-Performing ARC AI Method Uses Test-Time Adaptation
“And today, every single AI approach that performs well on Arc is using one of these techniques.”
François Chollet Jul 3, 2025 ▶ 4:13 François Chollet: How We Get To AGI · Y Combinator
Jul 3, 2025 negative
Assertion Supported
Chollet: Scaling LLMs 50,000x Only Lifted ARC Accuracy to 10%
“And from at the time, back in 2019 to now, with a model like GPT 4.5, for instance, there's been a roughly 50,000 X scale up of basal alarms. And we went from zero percent accuracy on that benchmark to roughly 10%, which is not a lot.”
François Chollet Jul 3, 2025 ▶ 2:09 François Chollet: How We Get To AGI · Y Combinator
Mar 27, 2026 positive
Insight
Chollet: Current LLM Stack Can Fully Automate Any Formally Verifiable Domain
“And I think right now we're in this situation where any problem where the solutions you've proposed can be formally verified, and you can actually trust the reward signal. It's not just some guess made by a model. Any domain like this can be fully automated wi…”
François Chollet Mar 27, 2026 ▶ 6:40 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026
Disclosure
Chollet: ARC Prize Built a Video Game Studio Generating 250+ Games
“We set up an entire video game studio, right, to create them. So we got over 250 games.”
François Chollet Mar 27, 2026 ▶ 29:39 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026 neutral
Disclosure
Chollet: ARC-3 private test set differs substantially from public set
“We've deliberately tried to create a private set of environments that is significantly different from the public set. Like you can look at the public set. It's not actually giving you that much information about what's in the private set. In the private set, y…”
François Chollet Mar 27, 2026 ▶ 28:57 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026 negative
Assertion Supported
Chollet: Base LLMs Score Under 10% on ARC-AGI-1
“So basal alarms were scoring extremely low on V-one, like sub-ten percent, basically. And, I mean, it was true of the original, like, GPT-III actually scoring zero, but that's even true of the latest basal alarms today, you know, as of March.”
François Chollet Mar 27, 2026 ▶ 17:57 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026
Disclosure
Chollet: ARC-4 will focus on continual learning and compounding levels
“So there will be ARC four, which will be in the spirit of ARC three, but more focused on continual learning and curriculum learning at longer timescales. So you're gonna have fewer games but they're gonna have way more levels. And the levels are going to be co…”
François Chollet Mar 27, 2026 ▶ 44:44 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026 bullish
Prediction Not checkable as stated
Chollet: Mathematics AI Revolution Is Coming in the Next Few Years
“I think mathematics is also, it's also primed to see a revolution in the next few years for the same reasons, again, because The domain just gives you verifiable rewards.”
François Chollet Mar 27, 2026 ▶ 7:01 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026 bearish
Insight
Chollet: RL Benchmarks Like Dota and Atari Test Memorization, Not Intelligence
“If you look at Atari games, for instance, or even Dota, you're training on, on the same environment as what you use for testing. So effectively, you're just trying to memorize the best strategies. You're trying to at training time, explore the full space of po…”
François Chollet Mar 27, 2026 ▶ 33:08 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026
Insight
Chollet: Competency Balances a Trade-Off Between Intelligence and Knowledge
“When it comes to Competency. There's always a trade-off between intelligence and knowledge. If you have more knowledge, if you have better training, you need less intelligence to be competent.”
François Chollet Mar 27, 2026 ▶ 23:01 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026 bullish
Prediction Not checkable as stated
Chollet: Symbolic Models Will Eventually Replicate and Outperform Deep Learning
“And so everything you're doing with machine learning today, with parametric curves, we should be able to do it. With symbolic models in the future in a way that will be much, much closer to optimality. Much closer to optimality in the sense that you're going t…”
François Chollet Mar 27, 2026 ▶ 3:42 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026 bullish
Prediction Not checkable as stated
Chollet: AI built from first principles will be more efficient than human brains
“It's an implementation of fundamental principles, the fundamental principles of intelligence, which, you know, I think we can identify these principles and re-implement intelligence from scratch, from first principles, in a way it will be much more efficient t…”
François Chollet Mar 27, 2026 ▶ 40:27 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026 negative
Opinion
Chollet: Replicating Biologically Plausible Brain Mechanics for AI Is Counter-Productive
“I think it would be counter-productive to just try to, you know, observe it and re-implement it, like and make it biologically plausible.”
François Chollet Mar 27, 2026 ▶ 40:50 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026
Disclosure
Chollet: NDEA Has Only a 10% to 15% Chance of Success
“Like we have maybe a 10 or 15% chance of success. But that is enough that it's worth trying, right?”
François Chollet Mar 27, 2026 ▶ 5:35 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026 bearish
Prediction Not checkable as stated
Chollet: LLM Progress in Non-Verifiable Domains Will Slow or Stall
“Progress of reasoning models and base LLMs on this type of domain is, is, you know, it's going to be very slow because the stack we're using, like the LLM stack is very, very reliant on its trained data. It's basically just operationalizing the trained data. A…”
François Chollet Mar 27, 2026 ▶ 8:02 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026 bullish
Prediction Not checkable as stated
Chollet: Artificial General Intelligence Will Likely Arrive Around ARC-6 or ARC-7
“My timeline to AGI, you know, if you just try to extrapolate from the current rate of progress and the amount of investment that's going into, not just the LLM stack, but also like side ideas, side bets that might work out, like, you know, India, for instance,…”
François Chollet Mar 27, 2026 ▶ 45:50 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
Mar 27, 2026 positive
Assertion Supported
Chollet: All ARC-3 environments are solvable by untrained humans
“All of these test environments in Arc three Are solvable by humans with no prior training because we actually tested them on, on regular people.”
François Chollet Mar 27, 2026 ▶ 27:52 François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
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