Topic
Benchmarks & Testing
Benchmarks and testing are DeAI's data desk: the monthly Refusal Index, price sampling, and real-world benchmark coverage — always with the methodology attached, always publishing results that don't flatter anyone, our backer included.
Start here: Abliterated and Uncensored AI Models, Explained (2026) — DeAI's reference piece on this topic.
Abliterated and Uncensored AI Models, Explained (2026)
Abliterated models get refusals edited out at one activation direction — no retraining. How they differ from uncensored fine-tunes and whether quality suffers.
The Best LLM APIs for AI Agents in 2026 (Tool Use, Filters, Priced)
Compare 7 LLM APIs for AI agents in 2026 — tool-calling reliability, filter behavior, privacy posture, and cost per finished task, with swap-ready code.
The 7 Best Uncensored AI APIs in 2026 (Refusal Policies Compared)
7 uncensored AI APIs ranked by documented refusal policy and model availability — what each filters, what it serves, and what to check before integrating.
How to Run Hermes 4 and Uncensored Fine-Tunes via API in 2026
Run Nous Hermes 4 and uncensored fine-tunes like Dolphin through any OpenAI-compatible API: provider criteria, a 2-line base-URL swap, and vLLM self-hosting.
