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Lecture 4: Transformers and Large Pretrained Models (Danqi Chen)
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Lecture 6: Causality (Adèle Ribeiro)
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Wisdom in the Age of AI - July 18, 2026
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Lecture 6: Vision and Language (Desmond Elliott)
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Lecture 3: Introduction to Sequence Models (Noah Smith)
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Physics-Informed Machine Learning – Lecture 1 | Why Physics + AI?
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Philosopher David Chalmers asks: When we talk to AI, what are we talking to?
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Talk: Multimodal Generative Models, Unification, Planning and Evaluation (Mohit Bansal)
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Lecture 1: Learning with Linear Models (Mário Figueiredo)
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Why This Is the Most Exciting Time to Be Human | Ken Ono, Axiom Math
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Talk: What do we Gain with Scale? Why we are Building a Ladder to the Moon? (Sara Hooker)
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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Can Quantum Particles Communicate Faster Than Light? – Quantum Reality (3/3) with Jim Al-Khalili
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There’s a Problem with Quantum Mechanics – Quantum Reality (1/3) with Jim Al-Khalili
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Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 1 - Transformer
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Talk: Musings on Direct Preference Optimization (Kyunghyun Cho)
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How to understand native speakers when they talk quickly: Live English Class
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Talk: Structured State Space Models for Deep Sequence Modeling (Albert Gu)
![You’ll stop using ChatGPT after listening to this | Jonathan Pageau [ARC 2026]](https://i.ytimg.com/vi/yZUuKzDQSsI/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAXTozuIcoGA_3ys1pkvHYXgL8C4Q)
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You’ll stop using ChatGPT after listening to this | Jonathan Pageau [ARC 2026]
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