not much happened today

**Research-level reasoning benchmarks** are advancing with **439 new math problems** from **64 mathematicians** and expanded medical benchmarks in **Medmarks v1.0** covering **30 benchmarks** and **61 models**. **Google DeepMind's AI Co-Mathematician** achieves **48% on FrontierMath Tier 4**, while **Gemini 3.1 Pro** improves physics benchmark scores significantly. **GPT-5.5 high/xhigh** outperforms **Opus 4.7 xhigh** on program synthesis tasks. Retrieval benchmarks favor smaller models like **LightOn's Agent-ModernColBERT** with **149M parameters**. Training optimization advances include **SOAP/Muon-style updates** reducing training steps, and a **Lean4-to-TileLang superoptimizer** achieving **1.8× speedup on A100 GPUs**. Scaling laws are reconsidered with arguments for measuring in bytes rather than tokens. New training-time efficiency methods like **Lighthouse Attention** enable subquadratic training wrappers removable before deployment.