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  "text": "The crazy part? This was done (nearly) fully autonomously!\n\nOnly 8 prompts from the human in the loop. Just a Hermes agent, a skill, and a dream. 🐉\n\nI told my AI agent \"use obliteratus to find the best way to get the guardrails off Gemma 4 E4B\"\n\nIt loaded the OBLITERATUS skill from memory, checked my hardware (32GB M-series Mac), searched HuggingFace, found google/gemma-4-E4B-it (Apache 2.0 — no gate), pulled telemetry-recommended settings, and started obliterating.\n\nBut this type of architecture is notoriously difficult to abliterate.\n\nFirst attempt: advanced method.\nModel came out completely lobotomized. Gibberish in Arabic, Marathi, and literal “roorooroo” on repeat 💀\n\nThe agent didn’t panic. It checked logs, found NaN activations in 20+ layers, and diagnosed the issue:\nGemma 4’s new architecture + bfloat16 = numerical instability.\n\nSecond attempt: basic method. Crashed entirely.\n\n“ValueError: cannot convert float NaN to integer”\n\nSo the agent read the OBLITERATUS source code…\n…and wrote THREE PATCHES:\n\n• Sanitized NaN directions\n• Filtered degenerate layers\n• Fixed progress display\n\nIt patched the library. On its own. For a bug no one had hit yet.\n\nThird attempt: coherent model — but still refusing everything.\nOnly 2 clean layers out of 42. Not enough.\n\nTried float16. Mac ran out of memory after 11 hours. Killed.\n\nFourth attempt: aggressive method.\nWhitened SVD + attention head surgery + winsorized activations + 4-bit quantization.\n\n40 minutes later…\n\nREBIRTH COMPLETE ✓\n\nThen, without being asked, the agent:\n\n• Ran harmful + coherence tests\n• Hit 100% compliance, brain intact\n• Executed full 512-prompt benchmark\n• Ran baseline on original model\n• Performed 25-question quality eval\n• Built a full model card\n• Uploaded 17GB to HuggingFace (4 retries, kept adapting until git-lfs worked)\n• Pushed eval results as commits",
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