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1. Guest Background Kevin Hartnett joins Machine Learning Street Talk as the author of Proof in the Code, a book about computer assisted mathematics and the people building its infrastructure. Beginning with the computa...
1. Guest Background Lisa arrives at the central question of this interview through a research problem: what should a scientist do when published findings fail to recur, but an unexpected pattern keeps returning? The sup...
1. Guest Background Ross Edgley, the British ultra endurance athlete and author, joins Andrew Huberman on Huberman Lab to examine what keeps someone acting through prolonged discomfort. Huberman introduces him through e...
1. Guest Background This approximately 214 minute episode of the Lex Fridman Podcast brings together three researchers to interpret what AI might be changing about mathematics. The immediate subject is a collection of m...
1. Guest Background Rob Snyder writes about the difficult passage from a plausible product idea to a business customers actually choose. He is the author of The Power of Pull and the newsletter The Physics of Startups,...
1. Host and Subject Background This episode of The Artificial Intelligence Show is a discussion between hosts Paul Roetzer and Mike Kaput about Anthropic's own accounts of AI and employment. The supplied evidence establ...
1. Host and Subject Background Matthew Berman is the speaker and evaluator in this approximately 26 minute episode from Matthew Berman / Forward Future. Titled “They actually did it... (Kimi K3.1),” it presents his comm...
1. Host and Subject Background Wes Roth is the speaker and commentator in this episode, not the interviewer of a verified guest. The metadata identifies him as host and uploader of “it's WORSE than we thought...”, uploa...
1. Guest Background Naveen Rao approaches this episode of 20VC as a serial entrepreneur working on the machinery of AI. Across approximately 73 minutes, host Harry Stebbings asks him to connect technical choices with co...
1. Guest Background This roughly 89 minute edition of The Cognitive Revolution assembles AI:AM weekly highlights, with Nathan Labenz introducing interview excerpts and discussions with Prakash. Its subject is broader th...
1. Guest Background Dan Fu is introduced as Together's head of research. The supplied guest background places his work in AI inference optimization, specifically first token latency, time per output token, throughput an...
1. Host and Subject Background Matthew Berman’s “Who is local AI really for?” is approximately 32 minutes of personal commentary. The supplied metadata names Berman as host, and the transcript presents his argument with...