Adventures in Physics, Trump, and more, with the Information Theory podcast — #75

This episode is an interview I did with the new podcast Information Theory. The host of Information Theory is an anonymous technologist trained in physics and machine learning.Information Theory Podcast on YouTube: https://www.youtube.com/@InformationTheoryPodInformation Theory Podcast on Spotify: https://open.spotify.com/show/6PbxeOYInRuH4DBXOAOq5u?si=q90fZh8PRUut5c1XG4K7Sw (00:00) - Introduction to Information Theory podcast (01:19) - The education of a physicist (10:53) - Computational genomics (19:40) - Thinking styles and collaboration in theoretical physics (26:08) - Scientific progress and the Great Stagnation (40:39) - University research administration (45:05) - Reproducibility crisis (57:58) - Impact of basic research (01:03:16) - Critique of NIH and biomedical research (01:06:48) - Personal reflections on Trump's re-election and an inside view of the 47 transition (01:12:37) - Silicon Valley and US politics (01:15:30) - Concerns and hope for America's future Music used with permission from Blade Runner Blues Livestream improvisation by State Azure.--Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon. Hsu is a startup founder (SuperFocus, SafeWeb, Genomic Prediction, Othram) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU. Please send any questions or suggestions to [email protected] or Steve on X @hsu_steve. Announcing this for some friends at Mechanize - a startup that builds environments for training and evaluating frontier LLMs. Its customers include the top AI labs, and it has contributed to the breakthrough in coding capabilities of frontier models. Mechanize is hiring! https://mechanize.work/b/hsu Compensation is extremely competitive. For technical roles, $300-500k. They are also seeking smart generalists. For example: Research Engineer, Alignment: Build evals that test for misaligned model behaviors  $500K salary Puzzle Maker: Design interesting and original puzzles that LLMs can’t yet solve  $300K salary Mechanize understands that my readership is highly selected. There is a VERY GOOD CHANCE you will be interviewed if you apply via the link above.