
Too Much Faith in AI's Ability to Refuse
Refusal is the load-bearing wall of AI safety, but it's probabilistic, can fail catastrophically, and is ripe for censorship.
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Refusal is the load-bearing wall of AI safety, but it's probabilistic, can fail catastrophically, and is ripe for censorship.

Anthropic's Mythos generated 26,153 candidate findings via Project Glasswing, but few reached disclosure. The bottleneck is human triage, not discovery.

ServiceNow turns a 15B reasoning model into a Mamba hybrid at 2.1x throughput. The interesting part is how they chose the distillation data.

Four markups, one tokenizer: TSX uses 94% more tokens than Pug. But the interesting cost is not where most developers expect it to be.

Inside Vi, a sovereign AI built without a rented LLM: own weights, persistent memory, a C++ speech stack, and hippocampal replay during sleep.

GPT-6 Astra is a model, not an entire agent. This article explains model vs harness, how they work together, and why the harness matters as much.

Claude Fable 5.1 doubles down on long agentic work — 52.6% on Terminal-Bench-Science — and cache reads drop 75%. Mythos 5.1: same model, looser guardrails.

The ggml.ai team behind llama.cpp joins Hugging Face. The runtime stays 100% open source, and the transformers-to-GGUF bridge is about to get much shorter.

Z.ai and Qwen shipped near-identical hybrid LLM architectures within a day: 3:1 linear attention, a 2048-token sparse budget, four gated residual streams each.

A new independent study of real AI conversations shows that work-focused company reports filter out nearly half of what people actually do with AI.

NVIDIA releases Nemotron 3 Ultra, a 550B parameter MoE model with 1M context, free on OpenRouter, built for agentic AI systems.

OpenAI's Ultrafast mode runs GPT-5.6 Sol at 750 tokens per second on Cerebras wafer-scale chips, 14x faster with no quality loss.