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Panel Discussion: Open Questions in Theory of Learning
![Do you think that ChatGPT can reason? [Prof. Subbarao Kambhampati]](https://i.ytimg.com/vi/y1WnHpedi2A/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBxhSiivlSFVsuyG9GBpbQFYvetmA)
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Do you think that ChatGPT can reason? [Prof. Subbarao Kambhampati]

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Eliezer Yudkowsky – AI Alignment: Why It's Hard, and Where to Start

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Analogy as the Core of Cognition

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The Debate Over “Understanding” in AI’s Large Language Models

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How To Think SO CLEARLY People Assume You're A Genius

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Invariance and equivariance in brains and machines

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Big Techday 26: Human nature and human progress - Prof. Dr. Steven Pinker, Harvard University

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Chris Manning - Meaning and Intelligence in Language Models (COLM 2024)

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Language Models as World Models

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

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Relaxing Rain Sounds and Soft Piano Music for Deep Sleep, Stress Relief, and Peaceful Nights

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

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

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Interpretability: Understanding how AI models think

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Dynamic Deep Learning | Richard Sutton

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Ilya Sutskever: "Sequence to sequence learning with neural networks: what a decade"

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The Platonic Representation Hypothesis

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Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 9: Scaling laws 1

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