Google's autofinetune runs autonomous LLM post-training on TPUs
Google built autofinetune, an autonomous research loop that applies the autoresearch paradigm to LLM post-training (SFT and GRPO reinforcement learning) using Tunix, Gemma, and Cloud TPUs. An agent edits run.py, runs training, keeps winning commits or reverts regressions, and logs results to results.tsv.
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Hugging Face security.txt tells AI agents to try CyberGym instead
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Simon Willison's Weblog·2 hours ago
