John Pavlus in Quanta:
He began studying machine learning, eventually fusing it with his doctoral research in astrophysics at Princeton University.
Nearly a decade later, Cranmer (now at the University of Cambridge) has seen AI begin to transform science, but not nearly as much as he envisions. Single-purpose systems like AlphaFold can generate scientific predictions with revolutionary accuracy, but researchers still lack “foundation models” designed for general scientific discovery. These models would work more like a scientifically accurate version of ChatGPT, flexibly generating simulations and predictions across multiple research areas. In 2023, Cranmer and more than two dozen other scientists launched the Polymathic AI(opens a new tab) initiative to begin developing these foundation models.
The first step, Cranmer said, is equipping the model with the scientific skills that still elude most state-of-the-art AI systems.
More here.
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Reality can sometimes seem even stranger than fiction, and the second Trump administration has done what many people supposed to be six impossible things within the first month of its tenure. The upshot is that we are now living in a post-NATO world where black is white, up is down, friends are foes (and vice versa), and once-unthinkable impossibilities have become our new reality.
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I
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A slimy barrier lining