Learning to Reason, Insights from Language Modeling

Panel Discussion: Open Questions in Theory of Learning

Language Models as World Models

Stanford CS230 | Autumn 2025 | Lecture 9: Career Advice in AI

Computational Models of Cognition: Part 1

Rapid Fire With Sam Altman: His Take on AGI, Musk & the Future of AI | Express Adda

Do you think that ChatGPT can reason? [Prof. Subbarao Kambhampati]

Invariance and equivariance in brains and machines

Лучший документальный фильм про создание ИИ

LLM и GPT - как работают большие языковые модели? Визуальное введение в трансформеры

The Platonic Representation Hypothesis

Prof. Judy Fan: Cognitive Tools for Making the Invisible Visible

Математическая тревожность, нейросети, задачи тысячелетия / Андрей Коняев

OpenAI is Suddenly in Trouble

AGI-23 | Reasoning in Human and Machine Intelligence - Noah Goodman

Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024)

Josh Tenenbaum - Scaling Intelligence the Human Way - IPAM at UCLA

Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

Hippocampal memory, cognition, and the role of sleep - part 1

Yann Lecun | Objective-Driven AI: Towards AI systems that can learn, remember, reason, and plan

Conveying Tasks to Computers: How Machine Learning Can Help