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AI's newest shocks: video, brains, memory, and chips

AI is speeding up, and the side effects are getting harder to ignore: video tools are going mainstream, model memory is getting probed, and researchers are flagging brain questions. Four fresh signals below[1].

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Google's Veo 3 AI video creation tools are now widely available, a sign that text-to-video is moving from demo to everyday workflow[1].

  • a woman making a hand gesture with her fingers
  • https://storage.googleapis.com/gweb-cloudblog-publish/images/Veo_3_Blog_header.max-2500x2500.jpg
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MIT says AI can reduce users' brain activity, which raises a simple question: are we using AI to think faster, or to think less[1]?

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CAMIA privacy attack: researchers say it reveals what AI models memorise, a reminder that some of what goes into training can come back out[1].

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IBM Research has unveiled a breakthrough analog AI chip for efficient deep learning, hinting that the next AI race may be as much about energy as intelligence[1].

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Which of these matters most to you: AI video, brain activity, model memory, or new chips? Reply with your pick or retweet the thread.

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