AI Helps Crack Convex Optimization Problem
Cu3PO42 · hn · 2026-07-17
An article claims that GPT-5.6 Sol Pro, with AI assistance, has solved an open problem in the field of convex optimization that had reportedly persisted for around 30 years. The post links to a lengthy piece detailing this breakthrough.
More from Research
- New prompt template aims to improve spatial reasoning and cut model laziness — legit_api · 2026-07-21
- Style-similarity analysis puts Kimi K3 closer to Claude Fable 5 than to K2.6 — soumitrashukla9 · 2026-07-21
- A GLP1R variant may explain stronger Ozempic weight loss, and the team built an agent workflow — julia_kiseleva · 2026-07-21
- Proceedings for the second geometry-grounded representation learning workshop are now online — erikjbekkers · 2026-07-21
- New survey maps how agentic systems are learning to improve themselves — SchmidhuberAI · 2026-07-21
- A curated TTS list for voice agents tracks latency, cancellation, and evals — mahimairaja · 2026-07-21