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Francois Chollet quote, Jun 11, 2024

Creator of ARC-AGI, co-founder ARC Prize · Jun 11, 2024 · Interview, Dwarkesh Podcast: Why the biggest AI models can't solve simple puzzles

The way LLMs work is that they’re basically this big interpolative memory.

Primary source

Words found on the source page on Sep 25, 2026.

More from Francois Chollet

Quote
Passing ARC-AGI does not equate to achieving AGI, and, as a matter of fact, I don't think o3 is AGI yet. o3 still fails on some very easy tasks, indicating fundamental differences with human intelligence.Dec 20, 2024· Post
This is not merely incremental improvement, but a genuine breakthrough, marking a qualitative shift in AI capabilities compared to the prior limitations of LLMs.Dec 20, 2024· Post
You'll know AGI is here when the exercise of creating tasks that are easy for regular humans but hard for AI becomes simply impossible.Dec 20, 2024· Post
I’m pretty skeptical that we’re going to see an LLM do 80% in a year.Jun 11, 2024· Interview
Now LLMs have sucked the oxygen out of the room. Everyone is just doing LLMs. I see LLMs as more of an off-ramp on the path to AGI actually.Jun 11, 2024· Interview
OpenAI basically set back progress towards AGI by quite a few years, probably like 5-10 years.Jun 11, 2024· Interview

On the same topics

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An AI with more real layers can actually be “smarter” in the conventional sense of the term.Scott AlexanderSep 24, 2026· Post
For 100 steps in a row, the AI can shoot delicate subtle ideas from layer to layer at the speed of light. Then there’s one step where it has to encode them into twenty-six glyphs invented by Phoenician turquoise miners in 1800 BC. Then it has to re-encode the Phoenician glyphs into delicate subtle lightspeed ideas before it can do anything else.Scott AlexanderSep 24, 2026· Post
The science of reading these thoughts is a subfield of AI interpretability, which is still in its infancy.Scott AlexanderSep 24, 2026· Post
This trains the AIs to be focused on task success, which naturally risks including things like reward-hacking, cheating, and single-minded pursuit of stated goals at the expense of ethical injunctions.Scott AlexanderSep 23, 2026· Post
It is important to not confuse massive steps in inference-time scaling, a dynamic which should be fairly predictable, with being the outputs of RSI, which is highly uncertain.Nathan LambertSep 19, 2026· Post
If you have five hours, you’re probably going to do a lot better. The AI models are pretty similar.Noam BrownSep 17, 2026· Interview
About this quote
Said by
Francois Chollet, Creator of ARC-AGI, co-founder ARC Prize
Where
Dwarkesh Podcast: Why the biggest AI models can't solve simple puzzles
Topics
Research
Company
ARC Prize
Source
dwarkesh.com/p/francois-chollet

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