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
- Episode 1: François Chollet: Test-Time Compute is Key as Pure Parameter Scaling Hits Limits(2026-08-02, 4 posts)
- Episode 2: Keras Creator Admits Underestimating LLMs, o3 Test-Time Compute as Turning Point(2026-08-07, 5 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