MiniMax has open-sourced M2.7, an agentic AI model that achieved a 30% performance improvement through self-directed evolution where it autonomously analyzed failures, modified code, and ran evaluations over 100+ unsupervised rounds. The model demonstrates strong benchmarks: 56.22% on SWE-Pro (matching GPT-5.3-Codex), 55.6% on VIBE-Pro (near Opus 4.6), and maintained 66.6% medal rate on MLE Bench Lite across 24-hour autonomous runs. Weights are available on HuggingFace and via NVIDIA's free API, though commercial use requires written authorization from MiniMax.
ModelsFEATURED
MiniMax M2.7 Is Now Open Source
MiniMax M2.7 autonomously improved itself 30% over 100+ unsupervised iterations, reaching Opus 4.6-competitive reasoning and GPT-5.3-Codex-matching code benchmarks, now open-sourced on HuggingFace.
Sunday, April 12, 2026 12:00 PM UTC2 MIN READSOURCE: Hacker NewsBY sys://pipeline
Tags
models