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AI news about AI safety, alignment and misuse.

3 stories in the last 24 hours

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3 stories
  1. Must read Wired

    The Results Are In: Voters Hate Data Centers

    Widespread voter backlash and newly elected state leaders favoring moratoriums in key hubs like Texas and Georgia threaten to severely constrain the physical infrastructure buildout required to scale AI.

    Voters across the United States broadly backed candidates and ballot measures opposing data center construction in the 2026 midterm elections, leading to wins for gubernatorial candidates in major hubs like Texas and Georgia who campaigned on moratoriums. Nearly two-thirds of voters cited data centers and their connection to AI as a factor in their vote, rejecting tens of local development measures despite significant campaign spending by the tech industry.

  2. Worth knowing Quanta Magazine

    New Research Tests Whether AI Models Know Their Own Thoughts

    Testing whether AI models can accurately report on their own internal states is important for model interpretability, safety, and understanding the boundaries of machine cognition.

    Quanta Magazine explores new research investigating whether artificial intelligence models have the capacity for introspection, or awareness of their own internal thought processes. The piece connects this AI research to broader philosophical and psychological debates regarding consciousness and whether introspection is an illusion.

  3. Worth knowing Platformer

    The frontier labs launch election war rooms

    How frontier AI labs monitor and mitigate political deepfakes during major elections is a central test of their safety and misuse prevention strategies.

    Leading AI laboratories have established election war rooms to monitor and respond to deepfakes during the midterm elections. The piece examines whether this traditional social media strategy is effective at countering AI-generated election misinformation.

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