AI Falls Short on Millennium Prize Problems, But Test-Time Compute Has Room to Grow
polynoamial · x · 2026-08-01
The author shared results from attempting to solve major mathematical problems using AI. While no Millennium Prize problems have been cracked yet, the compute spent per problem was relatively low. The author notes that there is significant room to push test-time compute much further in the future.
Related event: AI Falls Short in Tackling Millennium Math Problems(2 posts)→
More from Research
- GAE paper learns a geometry-native latent space for 3D-consistent world generation — yshan2u · 2026-10-16
- Agents turn conservative as context grows: edits shrink from 150 to 30 lines — dbreunig · 2026-10-16
- LMR-BENCH at EMNLP 2025 tests whether LLM agents can reproduce real LLM research — ZhiyuChen4 · 2026-10-16
- Ex-OpenAI researcher claims most neurons are legible now; critics call it hype — anshulkundaje · 2026-10-16
- Physicist pushes back on ML community's acceptance that models may be beyond understanding — tszzl · 2026-10-16
- Survey: AI agent evaluation is getting realistic but still fails to measure safety and reliability — burkov · 2026-10-16