Abliterated models are a real capability edge, and cybersecurity just raised their value
generativist · x · 2026-10-25
generativist argues abliterated/low-refusal models are competitively interesting: even if they lag frontier models by a few months on most dimensions, they'll do things frontier models like fable or astra won't — a literal capability advantage. He adds that this didn't translate into much of an edge before, but cybersecurity, especially in this visible form, suddenly shifts their value a lot.
Related event: Low-refusal AI models emerge as a competitive edge in cybersecurity(2 posts)→
More from Models
- Unverified DeepSeek-V4.1-Flash appears on Hugging Face with 763B params, llama.cpp PR filed — jacek2023 · 2026-10-25
- DeepSeek-V4.1-Flash EXL3-3bpw quant runs on 2x RTX PRO 6000 — No-Paper-557 · 2026-10-25
- Dev argues Codex still beats Opus 5.5 at coding: Opus brute-forces bad designs instead of researching — haider1 · 2026-10-25
- Claude Opus now refuses to decompile code, while GPT-6 Astra does it happily — CtrlAltDwayne · 2026-10-25
- FlashMap: flow map-based speculative decoding speeds up Qwen3-8B inference over 6x — caglarml · 2026-10-25
- User says Hermes feels like an infinite-level game, 'brilliant and scary' as it compounds — Teknium · 2026-10-25