Manifold

All but the last 20 minutes of this episode should be comprehensible to non-physicists.Steve explains where frontier AI models are in understanding frontier theoretical physics. The best analogy is to a “brilliant but unreliable genius colleague”!He describes a specific example: the use of AI in recent research in quantum field theory (Tomonaga-Schwinger integrability conditions applied to state-dependent modifications of quantum mechanics), work now accepted for publication in Physics Letters B after peer review. Remarkably, the main idea in the paper originated de novo from GPT-5.Links:X discussion - https://x.com/hsu_steve/status/1996034522308026435Companion paper: Theoretical Physics With Generative AI -  https://drive.google.com/file/d/16sxJuwsHoi-fvTFbri9Bu8B9bqA6lr1H/viewPhysics paper - https://arxiv.org/abs/2511.15935 | https://www.sciencedirect.com/science/article/pii/S0370269325008111Related discussion of AI and theoretical physics with Prof. Nirmalya Kajuri (IIT) and Prof. Jonathan Oppenheim (UCL) - https://youtu.be/BRuDd3l0e3kRelated video: AIs Win Math Olympiad Gold: Prof. Lin Yang (UCLA) – Manifold #97 - https://youtu.be/8JeRCqNg7RcChapter markers:(00:00) - Intro: AI discussion with specialized physics at the end (03:40) - The current AI landscape for science: frontier models, Co-Scientist, and recent math breakthroughs (11:01) - Why models help and why they fail: errors, deep confabulation, and the research risk (15:54) - The Generator–Verifier workflow: how chaining model inference suppresses mistakes (23:30) - Project origin: testing models on Hsu’s older nonlinear QM/QFT work (30:35) - The “GPT-5 moment”: Tomonaga–Schwinger angle appears and produces the key equation (40:35) - Wild goose chases & a practical heuristic: axiomatic QFT detour; Generator-Verifier convergence (51:44) - Referee-driven test case: Kaplan–Rajendran model, past-lightcone geometry, and verification (55:55) - Tooling & outlook: automation prototype, chaining into “supermodels,” where this is headed (59:39) - Physics slides (advanced): TS integrability, microcausality, and why nonlinearity threatens locality –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.

Murtaza Hussain is a reporter for Drop Site News, which has brokenimportant stories based on recently obtained Epstein emails. Hussainreports that Epstein had an “extensive relationship with Israeliintelligence, U.S. intelligence and the intelligence agencies of othercountries, as well... He was a dealmaker and a fixer at a very, veryelite level.”Links:Drop Site News series on Epstein and Israelhttps://www.dropsitenews.com/s/epstein-and-israelFormer Israeli spy Ari Ben Menashe on Jeffrey Epsteinhttps://x.com/hsu_steve/status/1994046737040712144(01:08) - Introduction (02:20) - The Mission of Drop Site News (06:00) - Epstein Emails (15:28) - Epstein connections and elite power (35:48) - Epstein and intel agencies (39:54) - Ari Ben Menashe and the Iran Contra Affair (42:21) - Media Censorship and Political Implications (47:33) - The Future of Epstein Investigations –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.

Jian Lian is an expert on China's political economy, industrial development, and technological development. He graduated from Peking University with a bachelor's and master's degree in economics. Starting out as an industry analyst at a Chinese investment bank, he participated in the "Made in China 2025" initiative as a Chinese venture capitalist, working for a state-owned fund. He is the author of "The Truth About Capital" 资本的真相 (2016), which contains major predictions about technology, economy, and society in China, most of which have since come true.Jian and Steve discuss the origins of the industrial party movement (discussed in an earlier episode with Kyle Chan), which culminated in the "industrial maximalism" view of development adopted by the PRC government. They also discuss the development of supply chains in China, and the role that US sanctions had in accelerating the Chinese semiconductor industry.Kyle Chan episode:https://www.manifold1.com/episodes/kyle-chan-on-the-future-of-us-china-competition-94Chinese industrial maximalism: https://www.high-capacity.com/p/chinese-industrial-maximalism(00:00) - Introduction (00:49) - Jian Gaokao score was 23rd in all of Fujian = Econ at Beida, not Genomics! (05:21) - China's Industrial Policy and Innovation (24:19) - Domestic supply chain strategy; How Huawei became a national champion due to US sanctions (34:13) - Venture Capital in China (36:13) - Hard Tech Investments (37:40) - Regulations of Tech Giants (44:28) - Future of China Technological Development –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.

Scott Horton is the author of Provoked: How Washington Started the New Cold War with Russia and the Catastrophe in Ukraine. Horton is a libertarian and anti-war activist. He and Steve discuss the Russia Hoax and its connection to American foreign policy, in light of new evidence that has emerged since the first Trump term.Scott’s book: https://www.amazon.com/Provoked-Washington-Started-Catastrophe-Ukraine/dp/1733647376X handle: @scotthortonshow(00:00) - Scott Horton on the Russia Hoax and Ukraine War – #98 (01:49) - Scott Horton's Political Journey (04:55) - The State of Public Awareness and Media (11:42) - Russiagate and the Indictment of James Comey (43:13) - Perjury and Obstruction Charges: The Virginia Trial Dilemma (43:51) - The Durham Investigation: Unveiling Corruption (46:28) - Post-Durham Report Revelations (59:04) - Ukraine Conflict: Provoked or Unprovoked? –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.

Lin Yang is a professor of computer science at UCLA. Recently, he and his collaborator built an AI pipeline using commercial models such as Gemini, ChatGPT, and Grok that performed at the gold medal level on International Mathematics Olympiad problems. Steve and Lin discuss this research, which relies on "verifier-refiner" LLM instances and large token budgets to reliably solve difficult problems. They discuss how these methods can be used to advance AI for scientific research, legal analysis, and complex document processing.https://github.com/lyang36/IMO25/blob/main/IMO25.pdfhttps://x.com/hsu_steve/status/1948189075707469942Chapter markers:(00:00) - AIs Win Math Olympiad Gold: Prof. Lin Yang (UCLA) – #97 (00:57) - Prof. Lin Yang, UCLA (04:27) - Journey from Physics to Computer Science: 2 PhDs (11:15) - Transition to AI from Theoretical CS (13:16) - AI Pipeline Math Olympiad: Gold Medal! (28:23) - Probability Amplification (29:00) - Applications in Industry and Legal Analysis (29:58) - Challenges in Model Reasoning and Verification (33:23) - Future of AI in Scientific Research and AGI Speculations –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.