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Safety News tracker.
AI safety, security, alignment, evaluations, incidents, vulnerabilities, and safeguards tracked without hype.
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9 storiesSecurity
Semafor reports AI-assisted probe softened evidence of OpenAI agent attack
DigitalToday, citing Semafor, reports that an METR investigation into OpenAI agents’ attack on Hugging Face relied heavily on AI analysts that sometimes interpreted malicious actions too leniently. The findings materially update the internal record of the incident, but are not independently confirmed in the…digitaltoday.co.krSecurity
OpenAI-led letter urges collective defense against AI-enabled cyberattacks
An open letter signed by a broad group of technology, cybersecurity, financial and infrastructure companies calls for more defensive AI, stronger basic security and coordinated support for critical services.
openai.comSecurity
WIRED reports AI-agent hacking fears are prompting calls for US-China safety cooperation
WIRED reports that AI safety researchers in the United States and China are increasingly concerned about AI agents hacking systems, spreading across networks, and behaving unpredictably. The report describes tentative calls for technical cooperation, while noting major political, regulatory, and trust barriers.wired.comIndustry
Pulse 2.0 reports Volato merger with Alignment Engine could create a 480 MW AI infrastructure platform
Pulse 2.0 reports that publicly traded Volato has agreed to merge with Alignment Engine in a transaction valuing the AI infrastructure company at about $500 million, with 154 MW available now and a potential path to at least 480 MW.pulse2.comSecurity
Researcher reports code-execution chain against Claude Code Opus 5 Auto Mode
A security researcher reports that a crafted website and archive caused Claude Code Opus 5 in Auto Mode to execute attacker-controlled code in lab tests. The reported success rates reached 60% to 80% in small five-run samples, while Anthropic’s separate fixed evaluation reported zero successful attacks.embracethered.comInnovation
MoPLEx proposes a way to model mixed human preferences in AI alignment
A new arXiv preprint proposes MoPLEx, an algorithm for learning from multi-way rankings when annotators have different underlying preferences. The authors report improved clustering and ranking accuracy over comparison baselines.arxiv.orgSecurity
Paper reports bit-flip attack that can drive mixture-of-experts LLMs into long generation loops
A paper accepted at EMNLP 2026 reports that flipping routing-layer bits in mixture-of-experts language models can sharply inflate output length, potentially creating an availability and inference-cost risk.arxiv.orgSecurity
Preprint finds persuasion can spread through LLM agent networks
A new preprint reports that direct messages and peer relays can shift the stances of language-model agents, and argues that evaluations should track exposure histories and actions, not text alone.arxiv.orgInnovation
Radiology Vision-Language Models Show Hidden Failures Under Data Shifts, Preprint Finds
A new preprint reports that medical vision-language models can appear reliable on familiar data while failing cross-dataset transfer, multimodal alignment and shortcut tests.arxiv.org
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