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Kenneth O. Stanley - Novel Opportunities in Open-Endedness @ UCL DARK

Michael Levin - Non-neural intelligence: biological architecture problem-solving in diverse spaces

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Andrej Karpathy: Software Is Changing (Again)

Genie 3: A New Frontier for World Models [Jack Parker-Holder and Shlomi Fruchter] - 743

Accelerating Scientific Discovery with AI - lecture by Sir Demis Hassabis

Discovering symbolic cognitive models with LLMs (Dr Kim Stachenfeld)

Rich Sutton, The OaK Architecture: A Vision of SuperIntelligence from Experience - RLC 2025

General Intelligence: Define it, measure it, build it

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

Geoffrey Hinton reveals the surprising truth about AI’s limits and potential

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

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Lecture Series in AI: “How Could Machines Reach Human-Level Intelligence?” by Yann LeCun

Dylan Foster | Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

Stanford AI Researcher on What’s Next in Research, Reaction to o1 and How AI will Change Simulation

«Open AI — это пузырь»! Откровения из Кремниевой долины | Братья Либерманы

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Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs