The US Commerce Department abruptly forcing Anthropic to pull Claude Fable 5 & Mythos 5 over "national security risks" is absolute peak tech theater. ​The rationale? Amazon researchers found a prompt injection that allegedly bypassed the guardrails to identify low-level software vulnerabilities. ​But here is the absolute kicker: ​Fable 5 was already so heavily sterilized and over-neutered out of the box that it was practically useless for real engineering tasks anyway. You didn't need to "jailbreak" the model to find security flaws, you had to jailbreak it just to get a straight answer to a basic coding prompt. ​Because the sudden export-control order bars any foreign national (including non-US developers on American soil) from interacting with the weights, Anthropic's only immediate path to compliance was to drop a global kill-switch on the models entirely. ​We are officially at a point where a model getting tricked into doing basic static analysis triggers a federal panic, while standard models handle the exact same data daily. ​The full breakdown of the export-control mechanics and why the "vulnerabilities" were completely overblown is below. 👇

the problem with fable 5 isn't capability. it's that it's gated into uselessness. i'm building an AI red team platform. IP/domain ownership verification and scope safety are hardcoded directly into the architecture. it is mathematically impossible to run out of bounds. yet, Fable 5 still flags standard trace scans and walls me off. this level of over-gating doesn't stop bad actors. it just forces serious developers to pivot. it's exactly why i had to fine-tune my own local Qwen3.6-27B model (Nemesis) specifically for cybersecurity tasks just to bypass the blind refusals and get real work done. you aren't making AI safer. you're just pushing the real engineering to local models you can't see. who else is hitting these walls right now?

Everyone "abliterates" models to uncensor them. I tried it on Qwen3.6-27B and it just... wouldn't break. Turns out its safety isn't one direction you can delete - it's smeared across the whole network. So I went a different way. Meet Nemesis 🛡️ - an open red-team AI that actually helps. 🧵👇

It still says no to the stuff that isn't its job - weapons, drugs, that kind of thing. I only trained it on authorized-security work. This is for pentests, red-team engagements, CTFs and research. Use it where you're allowed to.

qwen3-14b abliterated now runs straight in ollama lm studio. gguf builds are up - q5_k_m and q4_k_m. no setup, no conversion. just pull and go. ps: its bigger, meaner sibling drops tomorrow. 🛡️

Shipped Qwen3-14B Abliterated - tuned for autonomous security agents. 📊 Refusals: 99/100 → 10/100 📊 KL: 0.0333 (near-zero capability loss) 🧠 Thinking mode tool-calling preserved by design 🔁 Reproducible via Heretic For red-team agent loops. Free, open weights. Take it. 🔗 in reply 👇