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Kyle Cranmer
@KyleCranmer
Director Data Science Institute @UWMadison @datascience_uw. EiC @MLSTjournal. Physics, stats/ML/AI, open science. same handle @sigmoid.social and bsky
加入 June 2013
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Wow. @physics_nate (currently on leave at OpenAI) has made significant progress on a very deep problem relevant to our understanding of the Standard Model (SM) of particle physics. It’s technical, but briefly: the matter content of the SM (electrons, quarks, etc) are fermions and they are “chiral” (they have left-handed and right-handed components that behave differently). We’ve lacked a good way to describe / simulate such systems “non-perturbatively” (which is a controlled way of doing approximations). The paper connects with foundational ideas laid out by Lüscher (who is wicked smaht) and uses GOT Astra + lean formalization in ways that are perhaps subtly different than in math because of the role of recorded assumptions vs. axioms.
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