All talks listed in Pacific Time. Schedule subject to change.

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Coffee and Check-In
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Opening Remarks
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What neural machinery is needed for language acquisition (Virtual Talk)

Christos Papadimitriou (Columbia University)
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Break
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Language Models as World Models?

Jacob Andreas (MIT)
Video
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Computation with sequences of neuronal assemblies

Max Dabagia (Georgia Tech)
Video
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Lunch (on your own)
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Bridging the data gap between LLMs and children

Michael Frank (Stanford University)
Video
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Learning to Reason, Insights from Language Modeling

Noah Goodman (Stanford University)
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Break
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How grounded are ungrounded LLM models

Trevor Darrell (UC Berkeley)
Video
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Discussion (Lead: Jacob Andreas)
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Reception
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Coffee and Check-In
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Lightning Talks

Mirabel Reid (Georgia Tech),
Paul Liang (Carnegie Mellon University)
Video
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The Simplest Neural Models, and Neurally Plausible Algorithms for Language

Daniel Mitropolsky (Columbia University)
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KiVA: Kid-inspired Visual Analogies for Large Multimodal Models

Eunice Yiu (UC Berkeley)
Video
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Break
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A comparative cognition approach to evaluating AI capabilities

Lucy Cheke (Cambridge)
Video
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Lightning Talk: The Perception Test

Viorica Patraucean (Google DeepMind)
Video
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Lunch (on your own)
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10 AIs or 10B AIs

Joao Carreira (Google DeepMind)
Video
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Linguistic Interaction in Humans and Machines

Yoav Artzi (Cornell University)
Video
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Break
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What can be passively learned about causality?

Andrew Lampinen (Google DeepMind)
Video
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Discussion (Lead: Shiry Ginosar)
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Coffee and Check-In
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Educability (Virtual Talk)

Leslie Valiant (Harvard University)
Video
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Break
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Cultural Evolution

Alison Gopnik (UC Berkeley)
Video
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Social Behavior Prediction from Video Observations

Shiry Ginosar (UC Berkeley)
Video
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Lunch (on your own)
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Retrospective on multi-agent learning as a path to intelligence

Igor Mordatch (Google DeepMind)
Video
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Emerging interactions in humans and machines: from Social Physiology to Social Neuro-AI

Guillaume Dumas (CR-CHUSJ / Mila - Quebec AI Institute, University of Montreal)
Video
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Break
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The First 1000 Days Project: A Novel Framework for Modeling Human Development

Uri Hasson (Princeton)
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The Development of Sociality in Language and Thought

Justine Cassell (Carnegie Mellon University & Inria Paris)
Video
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Discussion (Lead: Uri Hasson)
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Coffee and Check-In
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What does it all mean anyway? Decoding ape communication. (Remote from the Ugandan forest)

Catherine Hobaiter (University of St. Andrews)
Video
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We are (still!) not giving Data enough credit

Alexei (Alyosha) Efros
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Break
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A compositional code for dynamic scenes across the macaque brain (Not livestreamed or recorded)

Doris Tsao (UC Berkeley)
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AI and Emotions: opportunities and challenges

Àgata Lapedriza (Northeastern University)
Video
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Lunch (on your own)
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LLMs as a cognitive model for natural lanaguge processing in the human brain

Uri Hasson (Princeton)
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Optimal flexible inference for behavior without generative world models

Daniel McNamee (Champalimaud Research)
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Lightning Talk

Jathushan Rajasegaran (BAIR)
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Break
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The distributed conceptual network in the human brain

Jack Gallant (UC Berkeley)
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Discussion (Lead: Jack Gallant)
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Coffee and Check-In
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Talk by

David Chalmers (NYU)
Video
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AI Consciousness is Inevitable: A Theoretical Computer Science Perspective

Lenore Blum (Carnegie Mellon University)
Video
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Break
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On the Hard Problem of Pain

Manuel Blum (Carnegie Mellon University)
Video
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Lunch (on your own)
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How Can We Detect Consciousness in Infants?

Claudia Passos Ferreira (NYU)
Video
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Quantitative research programs relating metacognition and consciousness

Megan Peters (UC Irvine)
Video
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From Simulated Subjectivity to Collective Consciousness in Large Language Models

James Evans (University of Chicago)
Video
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Break
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Coin-Flipping in the Brain: Probabilistic Computation and Learning in the Assembly Model

Santosh Vempala (Georgia Institute of Technology)
Video
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Discussion (Lead: Lenore Blum)
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Closing Words