Dwarkesh Podcast
Francois Chollet — Why the biggest AI models can't solve simple puzzles
Deeply researched interviews <br/><br/><a href="https://www.dwarkesh.com?utm_medium=podcast">www.dwarkesh.com</a>
Show Notes
Tap timecodes to jump
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
() – The ARC benchmark
() – Why LLMs struggle with ARC
() – Skill vs intelligence
() - Do we need “AGI” to automate most jobs?
() – Future of AI progress: deep learning + program synthesis
() – How Mike Knoop got nerd-sniped by ARC
() – Million $ ARC Prize
() – Resisting benchmark saturation
() – ARC scores on frontier vs open source models
() – Possible solutions to ARC Prize
Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe
Transcript not yet processed.
Sign in to unlock (1 credit)
Free to start
Full transcripts, AI insights,
Full transcripts, AI insights,
episode chat — free.
Sign up with Google in one click. 10 unlock credits included. No card needed.
Google sign-in · No credit card · Cancel anytime