François Chollet is an AI researcher and commentator focused on model capabilities, evaluation methods, and governance. Recently he has written on X about AI extinction risk and the need for stringent regulation, critiqued frontier labs’ proposals and potential regulatory capture, and shared progress on benchmarks for open-ended invention (ARC 4 and ARC 5) while contrasting discovery versus objective solving in AI.
> One could even define intelligence as the efficiency with which one converts experience into competence; by this definition they lag very far behind us Yes, one could define intelligence in this way, and one would be right. By this metric current AI is appr…
One of the most worrying risks linked to frontier AI is extreme power concentration. The only way to avoid extreme power concentration is to ensure we have multiple independent providers of frontier AI models, including open-source options.
If there really is a high chance of AI leading to the extinction of humanity within years/decades, then the only rational stance towards safety monitoring and research pacing should be stringent, top-down government involvement and universally ratified intern…
About a year ago, before it was on anyone's radar, we began exploring the idea of a benchmark for open-ended invention. Since then, we've developed several promising directions that will serve as the foundation for ARC 4 and ARC 5. We're incredibly excited to…
I hope the proposals by frontier labs to pace AI research stem from a genuine concern for safety and a recognition of the potential risks posed by future models, rather than a strategic effort to consolidate power and permanently solidify the market dominance…
"Discovery consists of seeing what everybody has seen, and thinking what nobody has thought." (Albert Szent-Györgyi) [Quoting @kenneth0stanley]: What we’re witnessing right now in AI for math is a dramatic improvement in objective-driven problem-solving, but…
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