Episodes (Page 4)
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Stevan Harnad discusses AI's symbol grounding problem.
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Terry Winograd discusses AI, HCI, and design.
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Gil Strang discusses linear algebra's foundational role in deep learning.
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Anant Agarwal explores AI's transformative potential in education.
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Explores the vector grounding problem
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Peli Grietzer uses mathematical frameworks from machine learning to analyze ineffable cultural phenomena like moods, vibes, and structures of feeling in literature and art
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Ryan Drapeau leads Stripe's ML-powered fraud prevention efforts.
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Shiv Rao discusses Abridge's use of NLP for healthcare conversations.
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Hugo Larochelle views deep learning as a scientific endeavor.
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Jeremie Harris discusses realistic AI alignment and policy.
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Antoine Blondeau discusses AI entrepreneurship and venture capital.
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Joon Park explores generative agents and human-computer interaction.
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Christoffer Holmgård discusses AI engines for game development.
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Riley Goodside is a Staff Prompt Engineer at Scale AI.
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Talia Ringer discusses using proof engineering for formally verified software.
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Brigham Hyde co-founded Atropos Health for AI in clinical decision-making.
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Scott Aaronson argues against AI doomerism while acknowledging real safety concerns, drawing on his expertise in quantum computing and complexity theory
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Ted Underwood applies machine learning to literary analysis, revealing long-term patterns invisible in individual works
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Irene Solaiman discusses the diverging perspectives between technologists and policymakers, highlighting what each side needs to learn from the other for responsible AI governance
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Drago Anguelov leads research at Waymo, focusing on autonomous vehicles.