Nikolai Yakovenko: the $200 million AI engineer
Razib Khan's Unsupervised Learning
Release Date: 08/02/2025
Cesar Fortes-Lima: the Fulani out of the Green Sahara
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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Jack Despain Zhou: in defense of tracking
Razib Khan's Unsupervised Learning
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...
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Nikolai Yakovenko: the $200 million AI engineer
Razib 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 ,...
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David Van Ofwegen: a peripatetic philosopher across Eurasia's antipodes
Razib 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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Claire Lehmann: after the Intellectual Dark Web
Razib Khan's Unsupervised Learning
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...
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Nathan Cofnas: Judaism's group evolutionary strategy and hereditarianism defended
Razib 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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Steve Hsu: China's inevitable rise and America's confused response
Razib Khan's Unsupervised Learning
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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David Gress: Plato and NATO 25 years later
Razib Khan's Unsupervised Learning
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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Ethan Strauss: sports and the end of the culture wars
Razib Khan's Unsupervised Learning
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,...
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Manvir Singh: the shamanic roots of all religion
Razib 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_outlineOn this episode of Unsupervised Learning, in the wake of Elon Musk’s xAI Grok chatbot turning anti-Semitic following a recent update, Razib catches up with Nikolai Yakovenko 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 poker player 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 computer science, Yakovenko has been at the forefront of the large-language-model revolution that was a necessary precursor to the rise of companies like OpenAI, Anthropic and Perplexity, as well as hundreds of smaller startups. Currently, he is the CEO of DeepNewz, an AI-driven news startup that leverages the latest models to retrieve the ground-truth on news-stories. Disclosure: Razib actively uses and recommends the service and is an advisor to the company.
Razib and Yakovenko first tackle why Mark Zuckerberg’s Meta is offering individual pay packages north of $200 million, poaching some of OpenAI’s top individual contributors. Yakovenko observes that it seems Meta is giving up on its open-source Llama project, their competitor to the models that underpin OpenAI and ChatGPT (he also comments that it seems that engineers at xAI are disappointed in the latest version of Grok). Overall, though the pay-packages of AI engineers and researchers are high; there is now a big shakeout as massive companies with the money and engineering researchers pull away from their competitors. Additionally, in terms of cutting-edge models, the US and China are the only two international players (Yakovenko notes parenthetically that Chinese engineers are also the primary labor base of American AI firms). They also discuss how it is notable that almost three years after the beginning of the current booming repeated hype-cycles of artificial intelligence began to crest, we are still no closer to “artificial general intelligence” and the “intelligence super-explosion” that Ray Kurzweil has been predicting for generations. AI is partially behind the rise of companies like Waymo that are on the verge of transforming the economy, but overall, even though AI is still casting around for its killer app, big-tech has fully bought in and believes that the next decade will determine who wins the future.