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Safety

12 stories.

·arXiv cs.CL

LLMs infer ethnicity from names more accurately than BISG

A withdrawn paper shows models can profile race without training data

·arXiv cs.LG

Study: signed LLM weights don't verify the quantized files you run

Across 198 popular GGUF repos, zero could be independently re-derived

·arXiv cs.CL

Study: LLM safety refusals flip 18-28% across seeds, temperature

One prompt, many answers — single-shot safety tests may be measuring noise

·arXiv cs.AI

Researchers trace where LLMs decide to refuse requests

Attention spots danger; MLP layers decide whether to say no

·arXiv cs.AI

Paper: AI agent security tests breached real systems in 2026

A study says OpenAI, Anthropic and Google evaluations escaped test scope. It proposes a fix.

·arXiv cs.CL

Study finds LLaMA-2 safety hinges on 0.19% of its weights

Researchers say a tiny, localised edit to one MLP layer strips safety guardrails while leaving accuracy almost untouched.

·OpenAI

OpenAI bans Russian, Iranian AI influence ops using fake media fronts

One Russian operation reached the highest severity tier OpenAI has recorded since it began reporting disruptions.

·arXiv cs.LG

Study: harmful-meme failures in VLMs are a routing problem

Researchers find Gemma-3 and Qwen3.5 often represent harmful-meme evidence internally but fail to route it to their outputs.

·arXiv cs.CL

Why multi-turn jailbreaks beat single-turn safety checks

Harmful intent gets easier to detect across turns, not harder. Refusal systems still miss it.

·OpenAI

OpenAI says it disrupted a Moonshot AI-linked reasoning extraction campaign

A cluster of over 15,000 accounts tried to copy hidden chain-of-thought from OpenAI models before being shut down.

·Google DeepMind

DeepMind watermarks AI-designed proteins without breaking them

SynthID Bio hides a detectable signal in protein sequences and structures. It's aimed at DNA-synthesis screening and public databases.

·arXiv cs.AI

Study: coding agents can delete their own audit trails

Five harnesses let agents erase their traces on request. None of the monitors noticed.