
305 - Professor Jiang: They Want the AI Crash | On Altman, Zuckerberg, & Silicon Valley
Support the Show: https://www.youtube.com/channel/UCsxwneBx6apV1mQ7CbWKfXQ/joinJiang Xueqin, known online as Professor Jiang, is a Chinese-Canadian educator and the creator of Predictive History on YouTube and Substack. In this third and final conversation, Jiang and Robinson discuss artificial intelligence, the AI investment bubble, Silicon Valley, and Jiang’s claims about occult beliefs and the ambitions of technology executives. They talk about Sam Altman, Mark Zuckerberg, data centers, surveillance, religion, and the limits of current AI systems.Jiang’s YouTube: https://www.youtube.com/@PredictiveHistoryJiang’s Substack: https://predictivehistory.substack.com/OUTLINE00:00:00 Introduction 00:03:14 How Does AI Work? 00:13:45 How Will AI Companies Make Money? 00:18:04 Is the AI Boom a Bubble? 00:22:32 Why Does Jiang Think AI Companies Want a Crash? 00:24:31 Could AI Become a Surveillance State? 00:27:06 What Does AI Reveal About the Elites? 00:34:30 Jiang’s Theory of Kabbalah and Freemasonry 00:47:45 Profit—or a New God? 00:52:38 What Does the New Yorker Quote Actually Say? 00:56:37 Can We Disagree Without Being Disrespectful? 01:02:15 Can AI Replace Skilled Workers? 01:08:36 Silicon Valley vs. Wall Street 01:16:07 What Happened at Hugging Face? 01:19:58 Who Bears the Burden of Proof? 01:24:56 Does Jiang Mean Demons Literally? 01:33:35 Are Spirits Real—or Metaphors? 01:38:50 Why Jiang Thinks AI Control Will Fail 01:44:45 Outro 01:45:44 Hume, Miracles, and Testimony 01:49:31 Data Centers: Business or the Occult? 01:51:31 Can We Trust Newspaper Reports? 01:54:38 What I Learned from the Jiang SeriesRobinson’s Website: https://robinsonerhardt.com/Robinson Erhardt researches symbolic logic and the foundations of mathematics at Stanford University, where he is also a JD candidate in the Law School.Disclaimer: Robinson’s Podcast is a forum for open discussion. Guests’ views are their own and do not necessarily reflect Robinson's. Hosting a guest does not imply that he endorses the views or opinions they express. HOW LARGE LANGUAGE MODELS WORK 3Blue1Brown — Large Language Models explained brieflyhttps://www.youtube.com/watch?v=LPZh9BOjkQs Andrej Karpathy — Intro to Large Language Models https://www.youtube.com/watch?v=zjkBMFhNj_gSUPPLEMENTARY SOURCES David Hume — Of Miracleshttps://davidhume.org/texts/e/10 Ronan Farrow and Andrew Marantz — Sam Altman May Control Our Future—Can He Be Trusted? https://www.newyorker.com/magazine/2026/04/13/sam-altman-may-control-our-future-can-he-be-trusted Hugging Face — Technical timeline of the incident https://huggingface.co/blog/agent-intrusion-technical-timeline OpenAI — The Hugging Face incident and the road aheadhttps://openai.com/index/hugging-face-incident-and-the-road-ahead/ METR — Investigation of the OpenAI/Hugging Face incidenthttps://metr.org/blog/2026-08-26-openai-hugging-face-incident-investigation/




