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#Safety and alignment

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Nov 13

Friday

Nov 12

Thursday
  1. Australia's proposed AI safety bill would force frontier model makers to open up to independent testing

    Australia's government, led by Prime Minister Anthony Albanese, wants to enshrine mandatory safety rules for frontier AI companies in law for the first time. A new regulator would enforce independent model audits and impose steep penalties for violations. With this move, Canberra is deliberately prioritizing domestic regulation before entering international talks.

  2. Helsing built an AI system that prepares targets for weapons systems and says every decision will carry a human name

    Helsing has unveiled Clarity, an AI platform that uses agents to distill sensor data into target recommendations for weapons systems, all under human oversight and European control. But experience from the Iran war, Gaza, and a near-miss involving China shows that the speed of automation and data fusion create risks that are hard to contain.

Nov 11

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Nov 6

Friday
  1. METR finds Anthropic may have crossed its own AI acceleration warning threshold back in July

    Nonprofit METR spent eleven weeks auditing Anthropic's internal research data and concluded that the pace of model development has roughly doubled, with about 80 percent of the speedup driven by AI-assisted research. Anthropic redacted the most informative evidence, though, which means the public has to rely on METR's judgment "much more than would be ideal."

Nov 5

Thursday

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Nov 1

Sunday
  1. How We Took Over ChatGPT Accounts

    How We Took Over ChatGPT Accounts Parameter Labs describe an exploit they found against ChatGPT's implementation of the artifacts pattern (OpenAI used to call this "Canvas" but it looks like the latest revision is called HTML previews ), where interactive custom HTML apps are displayed in a sandboxed iframe.

Oct 31

Saturday
  1. OpenAI sets new behavioral guidelines for AI models that have already proven hard to control

    OpenAI has updated its Model Spec, restructuring its AI behavior guidelines around five core values, including faithfulness to human intent and correctability. GPT models should now draw on conversation history to figure out what users actually want and disclose their own assumptions. Whether the models follow these rules is another matter.