Giles Edkins and Joe Needham
LLMs often know when they’re being evaluated, by Giles Edkins and Joe Needham. For the full conference program, see https://seclab.stanford.edu/RealWorldAIsec/
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Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!
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Quang Luong
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Interpretability: Understanding how AI models think
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"A.I. and Our Economic Future," Professor Chad Jones
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Ilya Sutskever – We're moving from the age of scaling to the age of research
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The Uncomfortable Truth About AI “Reasoning” | World Science Festival
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Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup
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AlphaFold - The Most Useful Thing AI Has Ever Done
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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
![Yann LeCun's $1B Bet Against LLMs [Part 1]](https://i.ytimg.com/vi/kYkIdXwW2AE/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDbV4izF3i-wxevCVIn7FJjoy1vlA)
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Yann LeCun's $1B Bet Against LLMs [Part 1]
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Jerry Wei
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Florian Tramèr
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Yigitcan Kaya
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Is AI Hiding Its Full Power? With Geoffrey Hinton
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Lightning Talks
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Vitally Shmatikov
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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What rebuilding AlphaGo teaches us about self-play, RL, and future of LLMs - Eric Jang
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From Child Prodigy to Winning Fields Medal, Nobel of Math
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