Topic
Baai
2 episodes
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Repo to Skill: Distilling GitHub Repositories Into AI4AI Skills
Repo-To-Skill introduces DisCo, a skill-distillation system that extracts operational knowledge from GitHub repositories and papers, packaging it as compact, verified skills that autonomous ML research agents can load on demand. The AREX-Skill Library contains 5,000+ skills from 1,000 repositories organized into 20 areas and 178 capability families. In matched tests with GPT-5.5 backbone and fixed execution budget, skill-equipped agents outperform skill-free baselines by 134.3% on MLE-bench, 34.4% on PaperBench, 9.2% on FrontierCS, and 14.0% on PassNet—gains purely from operational knowledge, not model or harness improvements.
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AREX: Towards a Recursively Self Improving Agent for Deep Research
Pippa and Tyler dig into AREX, a recursively self-improving deep research agent from BAAI that alternates between an inner search loop and an outer constraint-verification loop — and discuss whether that architecture is genuinely novel or a smarter repackaging of ideas the field already had.