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

Описание: 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