discrete program search

François Chollet argues that scaling pretraining produces useful task-specific skills but does not, by itself, create fluid intelligence: the ability to adapt to unfamiliar situations. He describes intelligence as efficiently reusing past experience to handle novelty, and explains why benchmarks based on familiar tasks can reward memorization instead. ARC-1 and ARC-2 probe different limits of AI adaptation, while ARC-3 is intended to test interactive agency. Chollet proposes combining learned intuition with discrete program search, so AI can assemble solutions from reusable abstractions, and says his new research lab AIndy is building toward that approach.