Episodes (Page 3)
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Benjamin Breen traces the intertwined histories of psychedelic research and AI development in the Cold War era, both shaped by similar utopian and scientific aspirations
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Ted Gibson investigates why languages have their particular structures and how dependency distances affect language processing and comprehension
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Harvey Lederman explores propositional attitudes and reference in language models through philosophical logic and ontological categories
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Eric Jang discusses AGI timelines and whether current AI/robotics have the foundational ingredients needed for artificial general intelligence
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Nathan Benaich reviews major 2023 AI developments including the increasing role of subject matter experts and the launch of the State of AI Report
Nathan Benaich
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Dr. Kathleen Fisher leads DARPA's Information Innovation Office and oversees AI research for national security missions including the AI Forward initiative
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Peter Tse studies the neural bases of attention, consciousness, and the unconscious processing that constructs conscious experience with a ~300ms delay
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Vera Liao discusses AI explainability and transparency in human-AI interaction.
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Thomas Dietterich, a machine learning pioneer, emphasizes foundational principles including robust AI systems, human-AI collaboration, and sustainability applications
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Martin Wattenberg and collaborator Fernanda Viégas created accessible visualizations for understanding AI systems, making complex models interpretable to end-users in Google products
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Laurence Liew drives AI adoption and talent development in Singapore.
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Michael Levin and Adam Goldstein explore intelligence across biological scales.
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Jonathan Frankle discusses sparse neural networks and the lottery ticket hypothesis.
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Nao Tokui explores using AI for musical creativity and art.
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Divyansh Kaushik focuses on AI policy and national security.
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Tal Linzen studies psycholinguistics and language modeling.
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Kevin K. Yang engineers proteins using machine learning.
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Arjun Ramani and Zhengdong Wang discuss the difficulty of transformative AI.
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Miles Grimshaw shares insights on venture capital in AI.
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Shreya Shankar focuses on building real-world ML systems.