Fern 0.1 debuts: a model built to audit training data and debug agent traces for AI builders
bneyshabur · x · 2026-10-26
Behnam Neyshabur's team introduced Fern, a model purpose-built for the high-volume agentic work of people building AI: auditing training data, debugging training runs from logs, and reading agent traces end to end.
Fern 0.1 is Mirendil-Base after a short round of post-training, with agentic benchmark results published. The team says this is just the first version, plans frequent updates, will release the model soon, and is taking early-access requests.
Related event: Fern Team Argues 'Context Is Intelligence'; Debuts at 73.4 on SWE-Bench(4 posts)→
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