Notable Guests
NB
Nathan Benaich
3x
VA
Voice Agents
1x
Recent Episodes
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Nathan Benaich and host review 2025 AI advancements, including developments in the State of AI Report focusing on geographic flexibility and emerging models
Nathan Benaich
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Iason Gabriel examines value alignment as a multi-stakeholder problem requiring procedures for identifying norms across diverse communities
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Nathan Benaich and Daniel Bashir review 2024's major AI developments, including o3's reasoning capabilities and the economics of scaling frontier models
Nathan Benaich
✨
Philip Goff defends panpsychism as a scientific theory of consciousness that avoids the explanatory gap problem
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The Gradient team announces scaling down magazine editing due to reduced bandwidth while continuing podcast and newsletter operations
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Jacob Andreas researches computational foundations of language learning and how AI systems ground language in world models
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Evan Ratliff created Shell Game, a podcast featuring an AI voice clone of himself as an exploration of voice agent technology and identity
Voice Agents
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Meredith Morris advocates for greater cross-pollination between AI and HCI, emphasizing human-centered design in generative AI systems
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Davidad Dalrymple discusses calibration approaches to AI risk and the UK's ARIA Safeguarded AI Programme for provably safe systems
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Clive Thompson explores his writing practice, drawing from personal experience and observations about technology culture
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Judy Fan's Cognitive Tools Lab reverse-engineers how humans use sketches, prototypes, and physical representations for learning and problem-solving
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L.M. Sacasas questions our relationship with technology, examining what we lose when outsourcing skills and competency to machines
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Pete Wolfendale critiques longtermist thinking in AI ethics, arguing for more rigorous philosophical foundations
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Peter Lee discusses compiler generation, type theory, and paradoxical computation problems from his theoretical computer science background
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Manuel and Lenore Blum propose the Conscious Turing Machine as a theoretical framework for understanding consciousness through computation
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Kevin Dorst defends subjective Bayesianism and rational polarization in politics, countering narratives that disagree must be irrational
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David Pfau discusses spectral learning, manifold factorization, and representation theory applied to deep learning and quantum mechanics
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Dan Hart and Michelle Michael discuss developing NSWEduChat.
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Kristin Lauter discusses homomorphic encryption and private AI.
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Sergiy Nesterenko discusses developing an automated PCB design system.