Nikolai Yakovenko: the $200 million AI engineer
Razib Khan's Unsupervised Learning
Release Date: 08/02/2025
Shadi Hamid: American power and the post-woke age
Razib Khan's Unsupervised Learning
On this episode of Unsupervised Learning Razib talks again with Washington Post and repeat guest Shadi Hamid (listen to ). A native Pennsylvanian of Egyptian ethnic background and Islamic faith, Hamid completed his Ph.D. in politics at Oxford University. He is co-host of the and with , and now the author of his own and a recent book, . Hamid is also the author of . , and . Before moving the discussion to , Razib asks Hamid about his current positioning on the American political...
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Vishal Ganesan and Anang Mittal: American Hinduism out of Indian Hinduism
Razib Khan's Unsupervised Learning
On this episode, Razib talks to and , two Indian-American Hindus who have been thinking about the role of their faith in the present, and past, of the American social landscape. Ganesan is a California-based attorney and writer who focuses on the history, identity, and representation of the Hindu diaspora in the United States. He is best known for his project and his writing on the “Frontier Dharma” platform, which attempts to conceptualize what an American, as opposed to Indian, “Hinduism” might look like. Anang Mittal is a DC-based political communications...
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John Hawks and Chris Stringer: Neanderthals, Denisovans and humans, oh my!
Razib Khan's Unsupervised Learning
On this very special episode, Razib talks to paleoanthroplogists John Hawks and Chris Stringer. is a paleoanthropologist who has been a researcher and commentator in human evolutionary biology and paleoanthropology for over two decades. With a widely read (now on Substack), a book on , and highly cited , Hawks is an essential voice in understanding the origins of our species. He graduated from Kansas State University in 1994 with degrees in French, English, and Anthropology, and received both his M.A. and Ph.D. in Anthropology from the University of Michigan, where he...
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Sean Trende: 2025 elections and political demographics, past and future
Razib Khan's Unsupervised Learning
Today Razib talks to . He is a prominent American political analyst who currently serves as the Senior Elections Analyst for RealClearPolitics, a position he has held since 2010. He is also a Fellow at the American Enterprise Institute (AEI) and a lecturer at The Ohio State University, where he earned his Ph.D. in political science in 2023. Before transitioning to full-time political analysis, Trende practiced law for eight years at firms including Kirkland & Ellis LLP and Hunton & Williams LLP, holding a J.D. and M.A. from Duke University and a B.A. from Yale University....
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Alex Young: IQ, disease and statistical genomics
Razib Khan's Unsupervised Learning
This week on the Unsupervised Learning Podcast, Razib talks to r of UCLA and . Trained originally as a mathematician, Young studied statistics and computational biology at the University of Cambridge before doing a doctorate in genomic medicine and statistics at the Wellcome Trust Centre for Human Genetics, University of Oxford, under Peter Donnelly. He also worked at deCODE Genetics in Reykjavik and at Oxford with Augustine Kong, developing methods in quantitative and population genetics. Razib and Young talk extensively about what we know about and genomics in...
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Zineb Riboua: Zohran Mamdani and Third-Worldism ascendent
Razib Khan's Unsupervised Learning
Today on Unsupervised Learning Razib talks to , a research fellow and program manager of Hudson Institute’s Center for Peace and Security in the Middle East. She specializes in Chinese and Russian involvement in the Middle East, the Sahel, and North Africa, great power competition in the region, and Israeli-Arab relations. Riboua’s pieces and commentary have appeared in the Wall Street Journal, Foreign Policy, the National Interest, the Jerusalem Post and Tablet among other outlets. She holds a master’s of public policy from the McCourt...
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Ed West: visitor from a dying empire
Razib Khan's Unsupervised Learning
Today Razib talks to Ed West, a British journalist and author. He has served as deputy editor of UnHerd and The Catholic Herald, and has written columns for The Spectator and The Daily Telegraph. He runs the Substack newsletter , where he explores culture, politics, and the longue durée of Western history. West is the author of books including Small Men on the Wrong Side of History and The Diversity Illusion, as well as popular-history titles such as 1066 and Before All That. A previous , West and Razib revisit the topic of British...
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Noah Smith: Japanese and American politics
Razib Khan's Unsupervised Learning
Today Razib talks to , an American economist-turned-blogger known for his commentary on economics and public policy. His blog, , is one of the most popular on Substack. He earned a PhD in economics at University of Michigan and served as an assistant professor of finance at Stony Brook University before leaving academia to become a full-time writer. He wrote a column for Bloomberg until 2021, when he turned his focus entirely to independent writing and his Substack newsletter. Smith is based out of San Francisco but spends part of the year in Japan. An enthusiast for...
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Coltan Scrivner: the evolution and psychology of horror
Razib Khan's Unsupervised Learning
Today, Razib talks to , a behavioral scientist, horror entertainment producer, and author, whose work centers on the psychological and evolutionary roots of our fascination with darkness, horror, and true crime. He is affiliated with the Department of Psychology at Arizona State University. Scrivner also serves as the executive director of the Nightmare in the Ozarks Film Festival and founded the Eureka Springs Zombie Crawl. He has been featured in The New York Times, CNN, The Wall Street Journal, NPR, TIME Magazine, National Geographic, Scientific...
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Nate Soares: we are doomed (probably)
Razib Khan's Unsupervised Learning
Today Razib talks to Nate Soares the President of the Machine Intelligence Research Institute (MIRI). He joined MIRI in 2014 and has since authored many of its core technical agendas, including foundational documents like Agent Foundations for Aligning Superintelligence with Human Interests. Prior to his work in AI research, Soares worked as a software engineer at Google. He holds a B.S. in computer science and economics from George Washington University. On this episode they discuss his new book, , co-authored with Eliezer Yudkowsky. Soares and Yudkowsky make the stark case that the...
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.