China, Acceleration, and Nick Land - with Matt Southey – #108

Matt Southey is an editor for an AI safety organization. He wrote his PhD dissertation on the philosophy of Nick Land. Matt's "A Brief History of Accelerationism" can be found here, and he recommends the second chapter of Crypto-Current as a good introduction to Land's usage of Kant. He and Steve discuss Accelerationism, AI, and Steve's recent meeting with Land in Shanghai.Chapter Markers:(00:00) - Introduction (02:07) - China Trip: Shenzhen, Beijing, Shanghai (03:16) - Tsinghua University: Talent (09:02) - Robotics and AI research (24:01) - Shanghai and Nick Land (35:46) - Land’s Esotericism (37:19) - Accelerationism and Orthogonality (43:01) - Simulation Metaphysics and Physics (54:36) - Dark Enlightenment and Inevitable Complexity –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.