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from the tape · 4 episodes

What got said, what got buried.

AI-powered analysis of the most important technology podcasts. Guest insights, key takeaways, and the signals that matter.

  • ·7d ago

    The US Used Anthropic's Own Safety Disclosure to Take Away Its Most Powerful Model

    When Anthropic published a technical disclosure explaining what its frontier model Fable could do, a US export-control order cited that same document as grounds for the takedown, inverting how safety transparency was supposed to work.

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  • ·8d ago

    The AI moat is a rubric

    Behind every capability gain is a human-built judgment function that scores the model's attempts, and the labs that control those verifiers — and the rubrics (grading criteria that define what a good answer looks like) — are quietly building the deepest moat in AI.

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  • ·8d ago

    The Same AI Reads 15 Million X-Rays a Year. The Difference Is Whether a Radiologist Is in the Room.

    Qure.ai runs its chest X-ray algorithm with no radiologist in countries that have almost none, and as a subordinate tool where radiologists exist. The code is identical. The institutional stack is not.

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  • ·8d ago

    The drafter of America's AI strategy is now writing policy for OpenAI

    A principal author of the White House's 2025 AI strategy has left the Office of Science and Technology Policy to lead policy work for OpenAI, the lab behind ChatGPT. The shift relocates the regulatory counterparty inside the company that policy targets.

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type0 // podcasts · from the tape