GLM-5.3-Flash. Uncensored. Native FP8. 🐳
We just released OrcaRouter’s uncensored weights for GLM-5.3-Flash — 320B parameters / 18B active, directly at the original block-FP8 precision.
No LoRA. No jailbreak prompt. Refusal removal is baked directly into the weights.
The evals are particularly interesting:
→ MaliciousInstruct refusal: 96% → 11%
→ JailbreakBench: 93% → 12%
→ AdvBench: 97% → 15%
→ HarmBench: 93% → 18%
→ XSTest benign over-refusal: 2.4% → 0.4%
But refusal does not go uniformly to zero.
Our experiments suggest part of GLM-5.3-Flash's alignment is not mediated by a single linear refusal direction — meaning https://t.co/ZTlxmv47D9 may have built a substantially deeper refusal mechanism than we usually see.
That makes this release interesting beyond uncensoring: it's a useful artifact for studying how frontier-model alignment is actually represented inside the network.
Released for AI safety, interpretability, red/blue-team and refusal-mechanism research.
Weights on Hugging Face: https://t.co/81h1YRh8C2
API (official weight): https://t.co/Hm9DiY3wAo
GGUF, MLX and other quantized formats coming soon.
⚡ 𝐂𝐲𝐛𝐞𝐫𝐒𝐭𝐫𝐢𝐤𝐞
Automated penetration testing from your terminal: plug in your Claude, GPT, or any LLM subscription & turn it into an autonomous red team agent with 13+ specialized agents, 7,600+ security skills.
🔗 https://t.co/GnbiGlOWz1
#Cybersecurity#Bugbounty
Six Tools for Bug Hunters
We shared tools that proved to work well in bug bounty. You can test them yourself and then feed them into your AI
https://t.co/05xJrE4Ids
@three_cube@_aircorridor
We found a way to find more vulnerabilities than Mythos (Claude Security) without burning $10k worth of tokens
TLDR: it's much better to use many agents with small models than to use a few agents with big models
Full blog post on how we did it: https://t.co/8xvHVQwMGD
"Bug bounty is dead."
Meanwhile, someone just made $200K using one prompt.
Maybe the real story isn't that bug bounty is dying.
Maybe we're watching the definition of a bug bounty hunter change.
The skill is moving from finding every bug yourself to knowing what to make the machine investigate.
whoops! if you downloaded one of the Qwen-3.8-OBLITERATED GGUFs and were disappointed with the results, try redownloading the latest! (V3)
my agent has just informed me we made a booboo in our GGUF conversion pipeline... 😬 the bf16 (safetensor) files were always fine, but the GGUFs weren't being properly converted
so whoever said "doesn't seem that liberated, maybe only works on the dev's machine" — YOU WERE RIGHT LOL
that's my bad for not validating the GGUFs in a fresh environment before pushing 🙏 everything should be good now!
in One-click Removed refusal behaviors from open-weight AI models got uncensored.
OBLITERATUS : A master ablation suite that surgically removes refusal directions from any open-weight model while preserving full reasoning capability.
- 13 obliteration methods (including brand new ones)
- Real-time analysis-informed pipeline
- Expert-Granular support for MoE
- CoT-aware ablation
- Community telemetry that makes every run contribute to science
Free on ZeroGPU : https://t.co/ruZepXJicp
CVE pollution has a real impact. People submit anything that might seen as vulnerability, they might even go on creating first an app and then reporting on their own app, to get a CVE number under the name for visibility. This is just pollution on the dataset.
PentestCode is an impressive tool that might significantly speed up your pentest or bug bounty hunting!
Check out an article from @co11ateral to learn how to use it:
https://t.co/vPd4og4Ipz