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! Check out ARC-AGI Prize here: https://arcprize.org 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒 * Transcript: https://www.dwarkeshpatel.com/p/francois-chollet * Apple Podcasts: https://podcasts.apple.com/us/podcast/francois-chollet-mike-knoop-llms-wont-lead-to-agi-%241/id1516093381?i=1000658672649 * Spotify: https://open.spotify.com/episode/7bmeJQOvXGy4LYl6YoiYYP?si=obUSUEwjSA6tkB8EBcb18w * Follow me on Twitter: https://x.com/dwarkesh_sp 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 00:00:00 – The ARC benchmark 00:11:53 – Why LLMs struggle with ARC 00:19:43 – Skill vs intelligence 00:28:38 – Do we need “AGI” to automate most jobs? 00:49:11 – Future of AI progress: deep learning + program synthesis 01:01:23 – How Mike Knoop got nerd-sniped by ARC 01:09:20 – Million $ ARC Prize 01:11:16 – Resisting benchmark saturation 01:18:51 – ARC scores on frontier vs open source models 01:27:02 – Possible solutions to ARC Prize