OpenAI leak's hidden gem: a Log-Sobolev result completing KLS picture
IgorCarron · x · 2026-10-31
Beyond the UGC material, the most interesting result in the circulating OpenAI repository comes from its geometry section: a Log-Sobolev inequality. Together with the recent resolution of the KLS conjecture, it yields a clean understanding of concentration for Lipschitz functions of log-concave random vectors — solid high-dimensional probability theory.
More from Research
- High schooler's "Image-Space Rule Discovery" paper accepted to ACCV 2026 — HirokatuKataoka · 2026-10-31
- OpenAI researcher offers credits or GPU hours within 3 days for math formalization work — willdepue · 2026-10-31
- Prune-then-loop retrofit turns a pretrained VLM recurrent, beating baseline with 23.3% fewer language params — HildeKuehne · 2026-10-31
- Microsoft Research open-sources Agensh: 1,024 coding agents, no boss, 55% on Pandoc rebuild — JafarNajafov · 2026-10-31
- Tsinghua team's ActionCodec2 streams action tokens per step, hitting 46.2% grasp vs FAST's 9.2% — ZeYanjie · 2026-10-31
- "Probably present": A Visual Explainer of How Bloom Filters Work — YashasGunderia · 2026-10-31