How François Chollet Is Building A New Path To AGI

About this episode

François Chollet discusses his unique approach to understanding and building artificial general intelligence from first principles.

François Chollet has spent years asking a different question than most of the AI world. Instead of scaling what already works, he’s trying to understand what intelligence actually is—and how to build it from first principles. In this episode of Lightcone, he traces that path from his early work on deep learning to the creation of the ARC prize, and the launch of ARC V3, a new benchmark designed to measure something deeper than performance: the ability to learn, adapt, and reason efficiently in entirely new environments. He explains why today’s systems may be hitting limits, what recent breakthroughs really mean, and why reaching true general intelligence may require a fundamentally different approach.00:00 - AGI by 2030?00:31 - Introducing Ndea: A New Path Beyond Deep Learning01:08 - A New ML Paradigm 01:30 - Replacing neural nets with compact symbolic programs03:04 - Why Ndea Isn’t Competing With Coding Agents05:20 - Why Everyone Might Be Wrong About Scaling LLMs07:22 - Why Coding Agents Suddenly Work So Well08:50 - The Limits of LLMs in Non-Verifiable Domains10:48 - What AGI Actually Means (And Why Most Definitions Are Wrong)13:30 - Why Deep Learning Hits a Wall 14:00 - ARC’s…

People in this episode

Guest: François Chollet

Topics covered

• Artificial General Intelligence
• Deep Learning
• Machine Learning Paradigms
• Symbolic Programs
• ARC Benchmarks
• Agentic Intelligence

Keywords

• AGI
• deep learning
• Ndea
• ARC prize
• machine learning
• symbolic programs
• LLMs
• intelligence
• benchmark
• coding agents

Mentioned in this episode

Organizations: Y Combinator, ARC, Ndea, ARC V3

Books & works: Lightcone

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