What the Second AI Found: GPT-6 Astra Reviewed Claude’s Model Edit and Caught Bugs the Green Tests Missed

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A Claude Opus 5.5 session edited a local model’s weights to make it better at law. A second AI from another company, OpenAI’s GPT-6 Astra in Codex, was told to review, not build. It found a resume bug that could pass off old results as new, a command line that failed while its unit tests were green, and weight conversions that changed a model even at edit strength zero. Its provenance checks failed 4 of 6 while all 12 author tests passed. It also made us take back claims. What it means for companies and users. Not legal advice.
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We Tried Weight-Space Programming at Home: Claude Edited a Local Model, GPT-6 Astra Checked the Work, and the Legal Score Stayed at Zero

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Inspired by MIT CSAIL’s weight-space programming post, we tried a related, simpler technique, directional ablation, on our own local model, Ornith 1.5: code written by a Claude Opus 5.5 session measured the model’s loop direction and removed it from the output weights of 27 of 40 layers, with no training. In the fair comparison it finished 12 of 15 legal answers instead of 4. The legal score stayed at 0, with 62 wrong or invented citations. GPT-6 Astra reviewed the work independently. Not legal advice.
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