François Chollet: Test-Time Compute is Key as Pure Parameter Scaling Hits Limits

François Chollet stated that while pure parameter scaling has hit a bottleneck, test-time compute and post-training scaling have broken through these limitations. He emphasized that these approaches still have a 10x to 100x room for improvement, with program search being the ultimate path to AGI.

2026-08-02 ~ 2026-08-02 · 4 related posts

• François Chollet: Deep Learning Will Eventually Be Replaced by Discrete Program Search — fchollet · 2026-08-02
• fchollet: Pure Parameter Scaling Hit a Wall; Test-Time Compute Is Necessary — fchollet · 2026-08-02
• François Chollet Clarifies LLM Stance: Test-Time Compute Breaks Base Model Bottlenecks — fchollet · 2026-08-02
• Keras Creator François Chollet: Test-Time Compute Scaling Has 10-100x Left to Deliver — fchollet · 2026-08-02