frontis-ma1-42887315·1 events·first seen Aliases: Frontis-MA1
Researchers introduce OpenMLE, an open full-stack system for recursive self-improvement (RSI) research in machine learning engineering, and post-train Frontis-MA1 (35B) as a meta-evolution agent on top of it. The system uses four atomic program-evolution operators (Draft, Improve, Debug, Crossover) trained via execution-grounded SFT and RL, then composed into long-horizon search. On MLE-Bench Lite under a constrained single-GPU budget, Frontis-MA1 improves Medal Average from 39.39% to 71.21% with OpenMLE-Evo-Max, reportedly exceeding GPT-5.5 + Codex and approaching GPT-5.6 Sol and the 2.8T Kimi K3. Model weights and the full OpenMLE stack are released publicly, targeting reproducible RSI research.