Aug 7, 2026 · Artificial Intelligence

Frontis-MA1-35B: Open-Source 35B AI-for-AI Model Advances Recursive Self-Improvement

The Frontis-MA1-35B model and the OpenMLE suite, released by a Tsinghua‑affiliated team, demonstrate how execution feedback can be fed back to the model that proposes modifications, achieving significant gains on MLE‑Bench Lite and showing a concrete step toward recursive self‑improvement in AI research.

AI4AIFrontis-MA1Machine Learning Engineering

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Frontis-MA1-35B: Open-Source 35B AI-for-AI Model Advances Recursive Self-Improvement

PaperAgent

Aug 7, 2026 · Artificial Intelligence

OpenMLE: Tsinghua’s Self‑Evolving MLE System Pushes 35B Model Past GPT‑5.5

The article introduces OpenMLE, an open‑source full‑stack system for recursive self‑improvement (RSI) research, showing how a 35B Frontis‑MA1 model improves its Medal Average from 39.39% to 71.21% on MLE‑Bench Lite, surpasses GPT‑5.5+Codex, and details the mechanism hierarchy, task‑curation gym, trainable evolution operators, and experimental evidence that training and search gains combine additively.

Evolutionary SearchFrontis-MA1MLE-Bench Lite

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OpenMLE: Tsinghua’s Self‑Evolving MLE System Pushes 35B Model Past GPT‑5.5