Flint 模型自主完成可解释性研究闭环

The Flint researcher ran on an @huggingface Inference Endpoint, with a small provided, Neuronpedia-style API for inspecting activations and steering another copy of Flint.

The interpretability techniques here are straightforward and established. We provided existing interpretability abstractions as a library (with the help of GPT 5.6 sol) and Flint's role was choosing what to investigate, looking at activation examples, and running experiments to test its hypothesis.

It's super cool that we are starting to see local-compatible open models carry out that research loop. We’re also experimenting with Ricursive’s Ripple and Qwen3.8 27B and we'll share some cool examples you can try at home soon!