Episodes (Page 6)
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Nathan Benaich shares insights on the current state of the AI industry.
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Matt Sheehan analyzes China's AI strategy and governance policies.
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Luis Voloch discusses the intersection of AI and biology.
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Zachary Lipton highlights the limitations of current machine learning.
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Stuart Russell explores the foundational principles of artificial intelligence.
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Varun Ganapathi discusses AKASA and AI's role in healthcare operations.
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Joel Lehman discusses open-ended search algorithms and evolutionary approaches that prioritize novelty and exploration rather than fixed objectives
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Andrew Feldman talks about Cerebras Systems and AI hardware.
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Christopher Manning discussed applying deep learning to natural language processing.
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Jeff Clune explored genetic algorithms and quality-diversity research.
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Catherine Olsson and Nelson Elhage discussed AI safety at Anthropic.
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Been Kim shared insights on interpretable machine learning.
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Laura Weidinger discussed ethical risks and harms in LLMs.
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Sebastian Raschka discussed AI education and research.
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Jack Shanahan discussed AI's role in the U.S. Department of Defense.
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Sara Hooker discussed her work at Cohere For AI.
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Lukas Biewald discussed his work with Weights & Biases.
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Chip Huyen discussed machine learning systems design.
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Preetum Nakkiran discusses building conceptual tools for understanding learning systems.
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Max Woolf explores AI content generation tools like aitextgen.