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François Chollet: The ARC Prize & How We Get to AGI

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Manage episode 492387849 series 3022334
Content provided by Y Combinator. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Y Combinator or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

François Chollet on June 16, 2025 at AI Startup School in San Francisco.

François Chollet is a leading voice in AI. He's the creator of the Keras library, author of Deep Learning with Python, and the founder of the ARC Prize, a global competition aimed at measuring true general intelligence.

He's spent years thinking deeply about what intelligence actually is—and why scaling up today’s AI models isn’t enough to reach it.

In this talk, he walks through the limits of pretraining and memorized skills, and lays out a path toward true general intelligence—AI that can adapt on the fly, reason in new situations, and invent novel solutions. He explains why abstraction and compositionality matter, how ARC became the benchmark for progress, and what his team at a new research lab called Ndea is building next.

  continue reading

269 episodes

Artwork
iconShare
 
Manage episode 492387849 series 3022334
Content provided by Y Combinator. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Y Combinator or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

François Chollet on June 16, 2025 at AI Startup School in San Francisco.

François Chollet is a leading voice in AI. He's the creator of the Keras library, author of Deep Learning with Python, and the founder of the ARC Prize, a global competition aimed at measuring true general intelligence.

He's spent years thinking deeply about what intelligence actually is—and why scaling up today’s AI models isn’t enough to reach it.

In this talk, he walks through the limits of pretraining and memorized skills, and lays out a path toward true general intelligence—AI that can adapt on the fly, reason in new situations, and invent novel solutions. He explains why abstraction and compositionality matter, how ARC became the benchmark for progress, and what his team at a new research lab called Ndea is building next.

  continue reading

269 episodes

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