EPISODE · Mar 13, 2025 · 53 MIN
Misha Laskin, Reflection.ai — From Physics to SuperIntelligence
from Manifold · host Steve Hsu
Misha Laskin is CEO of Reflection.ai. He was trained in theoretical physics at Yale and Chicago before becoming an AI scientist. He made important contributions in Reinforcement Learning as a researcher at Berkeley, Google DeepMind, and on the Google Gemini project.https://x.com/MishaLaskinSteve and Misha discuss:(00:00) - Introduction (00:47) - Misha's Early Life and Education (03:50) - Transition from Physics to AI (05:47) - First Startup Experience (07:19) - Discovering Deep Learning (08:06) - Academic Postdoc at Berkeley (14:31) - Joining Google DeepMind (16:36) - Reinforcement Learning and Language Models (26:42) - Challenges and Future of AI (48:30) - Unique Perspective from Physics 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.ai, 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.
What this episode covers
Misha Laskin is CEO of Reflection.ai. He was trained in theoretical physics at Yale and Chicago before becoming an AI scientist. He made important contributions in Reinforcement Learning as a researcher at Berkeley, Google DeepMind, and on the Google Gemini project.https://x.com/MishaLaskinSteve and Misha discuss:(00:00) - Introduction (00:47) - Misha's Early Life and Education (03:50) - Transition from Physics to AI (05:47) - First Startup Experience (07:19) - Discovering Deep Learning (08:06) - Academic Postdoc at Berkeley (14:31) - Joining Google DeepMind (16:36) - Reinforcement Learning and Language Models (26:42) - Challenges and Future of AI (48:30) - Unique Perspective from Physics 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.ai, 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.
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Misha Laskin, Reflection.ai — From Physics to SuperIntelligence
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