Jaron Lanier at Brown University 4.23.26 - "How Does Theory Need to Change Because of AI"

Jaron Lanier on theory and AI, delivered as the inaugural Leon Cooper Lecture at the Brown Center for Theoretical Physics and Innovation. Lanier argues "AI" is a marketing term, not a technical one — and that the shift we need isn't smarter models but a change in how we describe them. Reframing AI as a collaboration of people (rather than an emerging alien intelligence) changes everything: scientific citation, economics, the future of theory, and what we should actually be studying. Topics include the Turing Test as a trap, the confusion between two incompatible meanings of "information," opening the black box through counterfactual cluster estimation, why the most interesting mystery in AI is hiding in the English department, and an alternate-history thought experiment about Turing and von Neumann arriving before Newton. Q&A follows, plus a musical performance. SPEAKER Jaron Lanier — computer scientist, philosopher, musician. Microsoft's Prime Unifying Scientist. Considered one of the founders of virtual reality. HOSTS Vesna Mitrović — Chair, Department of Physics, Brown University Jim Russell — Deputy Dean of Faculty, Brown University Stephon Alexander — Professor of Physics, Brown University MUSICIANS Jaron Lanier Stephon Alexander — saxophone Donnie Aikins — bass Jesús Andujar EVENT Leon Cooper Lecture Series — Brown Center for Theoretical Physics and Innovation (BCTPI) Brown University, April 22, 2026 CHAPTERS 0:00 Welcome 1:06 Vesna Mitrović (Physics Chair) 2:11 Jim Russell (Deputy Dean) 3:51 Stephon Alexander 9:11 Jaron Lanier begins 10:37 What is AI? 15:56 AI as a collaboration of humans 20:53 The Turing Test 24:17 Science vs. theatrics 31:16 Where LLMs genuinely help 33:35 Norbert Wiener and cybernetics 37:58 Two meanings of "information" 42:01 Opening the black box 46:12 Creative classes vs. obsolescence 48:16 Information is physical 53:13 The ignored mystery: natural language 56:45 What if Turing came before Newton? 1:00:11 Aliens and complex numbers 1:06:29 Closing: reject the AI religion 1:07:22 Q&A 1:07:36 Q1 — Santa Fe Institute 1:08:21 Q2 — Billion-dollar AI startups doing foundational math 1:11:28 Q3 — Counterfactual cluster efficiency 1:14:00 Q4 — Memes, social media, generative AI 1:20:13 Q5 — AI 2027 and AGI LINKS Jaron Lanier — https://www.jaronlanier.com Brown Department of Physics — https://physics.brown.edu Stephon Alexander — https://www.stephonalexander.com