Fanqing of Evolvent_AI introduced RSIBench-Data on 2026-07-29 to evaluate self-evolving agents' ability to act like researchers—choosing data, designing experiments, training checkpoints, diagnosing failures, and using feedback. The post points to an arXiv paper (2607.25886) and a GitHub repository for the benchmark, code, and supporting materials.
Fanqing (FanqingMengAI) announced on 2026-07-29 that Evolvent_AI released RSIBench-Data, a benchmark and codebase to test whether AI agents can diagnose model failures, design data, train checkpoints, and incorporate feedback.
loving to see more work on self-evolving agent!
Fanqing (@FanqingMengAI)
With the stack fixed, can an AI agent choose data and experiment like a researcher?
At @Evolvent_AI, we built RSIBench-Data to test whether agents can diagnose failures, design data, train checkpoints, and use feedback. 🧵
📄 arxiv.org/abs/2607.25886
💻 github.com/evolvent-ai/RSIBe…
Video
— https://nitter.net/FanqingMengAI/status/2082324926619607491#m