Francois Chollet — Why the biggest AI models can't solve simple puzzles

Here is my conversation with Francois Chollet and Mike Knoop on the $1 million ARC-AGI Prize they're launching today . I did a bunch of socratic grilling throughout, but Francois’s arguments about why LLMs won’t lead to AGI are very interesting and worth thinking through. It was really fun discussing/debating the cruxes. Enjoy! Watch on YouTube . Listen on Apple Podcasts , Spotify , or any other podcast platform. Read the full transcript here . Timestamps (00:00:00) – The ARC benchmark (00:11:10) – Why LLMs struggle with ARC (00:19:00) – Skill vs intelligence (00:27:55) - Do we need “AGI” to automate most jobs? (00:48:28) – Future of AI progress: deep learning + program synthesis (01:00:40) – How Mike Knoop got nerd-sniped by ARC (01:08:37) – Million $ ARC Prize (01:10:33) – Resisting benchmark saturation (01:18:08) – ARC scores on frontier vs open source models (01:26:19) – Possible solutions to ARC Prize This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com