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Pedro Domingos

Pedro Domingos

@pedro-domingos · 8 positions

Portuguese computer scientist; professor emeritus of computer science and engineering at the University of Washington. Author of The Master Algorithm (2015) and the novel 2040 (2024); writes essays and posts on machine learning and against restrictive AI regulation.

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  1. Research funding is badly broken. Scientists spend a large fraction of their time writing grant proposals, which are largely speculative fiction.

    ↗ADVERTISEMENTtimeshighereducation.com 1st of 3 in this piece

  2. Scientific research is now an industry, for better or worse, and it should be funded like any other industry: by results.

    ↗ADVERTISEMENTtimeshighereducation.com 2nd of 3 in this piece

  3. innovation

    Pay-per-pub, as we may call this approach, will unleash a wave of innovation in research funding, increasing the collective intelligence of the system while decreasing waste.

    ↗ADVERTISEMENTtimeshighereducation.com 3rd of 3 in this piece

  4. 13 months earlier
  5. And as I explain below, the lessons that members of the AI community have learned in this regard can be generalized to other professional subcultures.

    ↗Skip to contentquillette.com 1st of 2 in this piece

  6. The real Achilles's Heel of the cancel crowd is its short attention span.

    ↗Skip to contentquillette.com 2nd of 2 in this piece

  7. 2 years earlier
  8. But that is unlikely to happen because they have no will of their own.

    ↗Skip to main contentscientificamerican.com 1st of 3 in this piece

  9. physics

    The progress of AI, like the progress of everything else, will eventually plateau.

    ↗Skip to main contentscientificamerican.com 2nd of 3 in this piece

  10. Within a decade or so each one of us will probably have a "digital double," an AI companion that will be even more indispensable than our smartphones are today.

    ↗Skip to main contentscientificamerican.com 3rd of 3 in this piece