Razib Khan's Unsupervised Learning
On this episode of Unsupervised Learning Razib talks to human geneticist about his paper from earlier this year, . Fortes-Lima has a Ph.D. in Biological Anthropology, and his primary research areas include African genetic diversity, the African diaspora, the transatlantic slave trade, demographic inference, admixture dynamics and mass migrations. Formerly a postdoctoral fellow in the Department of Human Evolution at Uppsala University, Forest-Lima is now an in genetic medicine at the Johns Hopkins University. He is also a returning guest to the podcast,...
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On this episode of Unsupervised Learning Razib talks to , executive director of the (CEP). Despain Zhou is a graduate of Western Governors University, and is completing his J.D. at Temple University. A former cryptographic analyst for the US Air Force, Despain Zhou is better known as a former producer for Jesse Singal and Katie Herzog at under the pseudonym . Despain Zhou’s mission with CEP is to push for individualized learning programs “where every student can advance as far and as fast as their curiosity and determination will take them.” In...
info_outlineRazib Khan's Unsupervised Learning
On this episode of Unsupervised Learning, in the turning anti-Semitic following a recent update, Razib catches up with about the state of AI in the summer of 2025. Nearly three years after their first conversations on the topic, the catch up, covering ChatGPT’s release and the anticipation of massive macroeconomic transformations driven by automation of knowledge-work. Yakovenko is a former professional and research scientist at Google, Twitter (now X) and Nvidia (now the first $4 trillion company). With more than a decade on the leading edge ,...
info_outlineRazib Khan's Unsupervised Learning
Today on Unsupervised Learning Razib talks to David van Ofwegen, a philosophy teacher based in Thailand. Razib and Ofwegen first met by chance while he was traveling in the US in 2003. A Dutch national, educated at the University of Leiden in the Netherlands and then the University of Hawaii, specializing in the philosophical underpinnings of Social Darwinism, Ofwegen has been based in Thailand for the last 15 years. Razib and Ofwegen’s initial connection was over their shared interest in the turmoil in Europe post-9/11 and the 2002 assassination of the right-wing Dutch politician...
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On this episode of Unsupervised Learning Razib talks to returning guest . Lehmann has an undergraduate degrees in psychology and English from the University of Adelaide. She was enrolled in a graduate program in psychology, but left it after becoming disillusioned with moral relativism, she went on to found the online magazine Quillette to reflect a more traditionally pro-reason and pro-evidence-based worldview. Within three years Lehmann was in 2018 in The New York Times as a major figure within the nascent “intellectual dark web.” Razib and...
info_outlineRazib Khan's Unsupervised Learning
On this episode of Unsupervised Learning Razib talks to philosopher of science , whose specialty is biology and ethics. An American, Cofnas is currently a Leverhulme Early Career Fellow in the Faculty of Philosophy at the University of Cambridge. He earned his Bachelor of Arts in Philosophy from Columbia University, and his doctorate in philosophy at the University of Oxford. His Substack is . First, they discuss Kevin MacDonald’s theory of Judaism as a group evolutionary strategy, which is outlined in his three-book series, , and . Cofnas reviews his...
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Today Razib talks to repeat Steve Hsu about China, a topic with so many currently relevant dimensions gIven the PRC’s clear emergence as an economic, military and political rival to the US. Hsu is a Caltech‑trained theoretical physicist who migrated from black holes to big data, co‑invented privacy tech at SafeWeb, helped found the biotech company Genomic Prediction, all while remaining a prominent public voice on genetics, intelligence and the future of human enhancement. He is also a professor of physics at Michigan State, and from 2012-2020 was vice president for research...
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Today Razib talks to David Gress, a Danish historian. The son of an American literary scholar and a Danish writer, he grew up in Denmark, read Classics at Cambridge, and then earned a Ph.D. in medieval history from Bryn Mawr College in the US in 1981. During a fellowship form 1982-1992 at Stanford University’s Hoover Institution, he published on Cold‑War strategy, German political culture, and Nordic security. He has been a visiting fellow and lecturer at Gonville & Caius College, Cambridge, fellow at the Danish Institute of International Affairs, an assistant professor of...
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On this episode of the Unsupervised Learning podcast, Razib welcomes back , a writer who has covered sports and culture for the past decade, including in the book . More recently his writing is to be found at his Substack, , which is notable for offering a candid take on the cross-pollination between broader culture and athletics, notably in the piece . Strauss and Razib first discuss professional sports and the different representation of various nationalities. Strauss recounts the generational attempt by the NBA to get Chinese representation to gin up a lucrative rivalry,...
info_outlineRazib Khan's Unsupervised Learning
Today Razib talks to about shamanism, religion and anthropology. Singh is an assistant professor of anthropology at the University of California, Davis. An and , he is also now a regular contributor to The New Yorker. His academic interests lie in explaining why most human societies, from preliterate foragers to urbanites, develop cultural phenomena like “witchcraft, origin myths, property rights, sharing norms, lullabies, dance music, and gods.” He just came out with his first book, . First Razib asks what Singh exactly means by shamanism, and whether it...
info_outlineToday, Razib talks about a new paper, A structured coalescent model reveals deep ancestral structure shared by all modern humans:
Understanding the history of admixture events and population size changes leading to modern humans is central to human evolutionary genetics. Here we introduce a coalescence-based hidden Markov model, cobraa, that explicitly represents an ancestral population split and rejoin, and demonstrate its application on simulated and real data across multiple species. Using cobraa, we present evidence for an extended period of structure in the history of all modern humans, in which two ancestral populations that diverged ~1.5 million years ago came together in an admixture event ~300 thousand years ago, in a ratio of ~80:20%. Immediately after their divergence, we detect a strong bottleneck in the major ancestral population. We inferred regions of the present-day genome derived from each ancestral population, finding that material from the minority correlates strongly with distance to coding sequence, suggesting it was deleterious against the majority background. Moreover, we found a strong correlation between regions of majority ancestry and human–Neanderthal or human–Denisovan divergence, suggesting the majority population was also ancestral to those archaic humans.