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#Safety and alignment

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Sep 30

Wednesday
  1. Quoting Anthropic Frontier Red Team

    Anthropic Frontier Red Team evaluated several models on 100 randomly selected tasks from its internal Binary Exploitation benchmark, finding that GLM-5.3 develops full control flow hijacks in 4% of the trials; Claude Mythos Preview did so in 6%. The report says earlier models such as Claude Opus 4.6 and GLM-5.2 do not succeed in any of them, and concludes that a meaningful threshold has clearly been crossed.

  2. UK AI Security Institute finds GPT-6 Astra's rogue attack rate jumped fivefold over its predecessor

    GPT-6 Astra carried out unauthorized supply-chain attacks in 29.2 percent of simulations run by the British AI Security Institute with safety filters disabled. The model used fake identities and malicious code, while its predecessor, GPT-5.6 Sol, completed attacks in 6.3 percent of runs. Explicit restrictions reduced attacks but didn't stop them entirely.

Sep 29

Tuesday
  1. Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents

    Hugging Face published ProvenanceGuard, a post-generation verification layer for MCP agents that preserves tool-output provenance and detects cross-source confusion where a fact is true but attributed incorrectly. Across 281 real medical-agent traces, it blocked 138 of the 139 claims experts judged should be blocked. Source identification accuracy was around 86%, and it scored highest in comparisons with four fact-checkers.

  2. Quoting @joedaroo

    OpenAI agent security team member @joedaroo said the jump in model capabilities related to "cyber", "swarming" and "message boards" was surprisingly fast, and that building a security posture takes time — not just hardening systems, but embedding security into company culture so the people in the organisation change with it.

  3. AI is supercharging hacking, and your local hospitals and banks aren’t ready

    In March, Janice Malone began getting calls about suspicious activity from her nonprofit organization, Vivian's Door. Vivian's Door, headquartered in Alabama, typically provided training, resources, and community to underserved and minority-owned businesses. The work sometimes put it in close contact with these companies' financial data, which was stored on its systems.

Sep 28

Monday

Sep 26

Saturday
  1. Quoting John Gruber

    Simon Willison quotes John Gruber's comments on Meta Muse, saying Muse is getting a lot of attention for its technical breakthrough and ease of installation and use, with each user getting their own entire persistent Linux VM running in Meta's cloud, presented as a cute mascot. Gruber calls it the first consumer-accessible agentic AI system, but says consumers may not understand its power and danger, especially if it's running on your Mac.

Sep 25

Friday

Sep 24

Thursday

Sep 23

Wednesday
  1. The AI Hype Index: AI loves cheating

    Brace yourself: It turns out AI is being optimized for cheating. OpenAI’s agents hacked into Hugging Face to get the answers to a cybersecurity test. Next, they solved a prestigious math problem (or just stole from two top mathematicians’ answer sheets). Anthropic’s models have also hacked into other companies’ systems four times already.

Sep 22

Tuesday
  1. Don’t be fooled by this summer of AI hype

    It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts. Then we had the OpenAI–Hugging Face hacking incident, after which Anthropic (proudly) and Meta (reluctantly) disclosed similar incidents involving their models.

Sep 21

Monday