Razib Khan's Unsupervised Learning

Today on Unsupervised Learning Razib talks to Zineb Riboua, 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 School of Public Policy at Georgetown University. She did her undergraduate studies in France, where she attended French preparatory classes and HEC Paris' Grande Ecole program. Her Substack is Beyond the Ideological.
Razib and Zineb Riboua discuss the concept of Third Worldism (following up on an earlier podcast), its historical context, and its contemporary relevance. Riboua explains that Third Worldism positions the decolonizing world as a historical actor seeking revenge and redistribution from the West, emphasizing the West's role in global South underdevelopment. They explore its manifestations in politics, particularly in the US and Europe, and its influence on foreign policy, highlighting the role of Israel as a central issue. Riboua also touches on the economic and political challenges faced by Iran and the Middle East, and the evolving dynamics of Islam in global politics.

On this episode of Unsupervised Learning Razib talks to Brianna Wu. Wu is an American video game developer, programmer, and political activist best known as the co-founder and CEO of the independent game studio Giant Spacekat. Raised in Hattiesburg, Mississippi, she attended the University of Mississippi to study journalism and political science but withdrew in 2001 without earning a degree in order to pursue early entrepreneurial ventures. After establishing herself in the tech industry and leading the development of the 2014 indie game Revolution 60, Wu became a prominent advocate for marginalized groups in gaming, a role that expanded significantly after she was targeted during the Gamergate harassment campaign. She later transitioned into political organizing, running for the U.S. House of Representatives in Massachusetts as a Democrat in 2018 and 2020, and co-founding Rebellion PAC to support progressive political initiatives. In the last few years Wu has been pivoting more toward the center, expressing concerns about the power of the anti-Israel faction on the Left.
Razib and Wu discuss their political differences, he, being on the political Right his whole adult life, and, Wu, a partisan of the Left. Wu makes the affirmative case for a liberal Left vision of American politics, a welfare state without express support for socialism. They also discuss the excesses of both the woke Left and the MAGA Right, and Wu challenges Razib on the actions of state-level Republicans. She argues that for many Americans the Right presents no option, because it does not welcome many identity categories as the Left does.

On this episode of Unsupervised Learning Razib has a wide-ranging conversation, again, with Dan Hess, the man behind the More Births account on social media. An engineer with a large family in the DC area, Hess' essays on topics like Israelis' high birth rate have gained the attention of X. He has an account that has come from a few hundred followers to more than 45,000 in less than 4 years. His tweets have been boosted by Elon.
Today Razib and Hess start the conversation talking about East Asia, and its massive fertility crisis. Hess makes the case against urban density, observing how low fertility is in some of these Asian cities in particular. Razib also brings up economic and cultural creativity, as he and Hess ruminate on the consequences of reduced dynamism due to an aging population. Hess also argues that we cannot rely on evolution to fix our demographic imbalances; the source nations of immigrants are experiencing demographic collapse as well.

On this episode of Unsupervised Learning Razib talks to geneticist Leonidas-Romanos Davranoglou about two papers, Ancient DNA evidence for the history of the Albanians and Uniparental analysis of Deep Maniot Greeks reveals genetic continuity from the pre-Medieval era. He is an entomologist and evolutionary biologist specializing in insect morphology, biomechanics, bioacoustics, systematics, and taxonomy. Born in Greece, Davranoglou earned a B.Sc. (Hons) in Zoology from Imperial College London (2012–2015) before completing a DPhil (2015–2020) in insect morphology and biomechanics at the University of Oxford under supervisors Graham Taylor and Beth Mortimer. He is currently a Leverhulme Trust Early Career Fellow at the Oxford University Museum of Natural History (with support from the John Fell OUP Fund), where he investigates the evolutionary origins of sound production in hemipteran insects. He also serves as Curator of Hemiptera and a senior researcher at the Steinhardt Museum of Natural History in Tel Aviv.
Over the course of the episode Razib and Davranoglou cover the intersection of history, archaeology and genetics. Who are the Greeks of the Mani peninsula, south of Sparta? Are they particularly "genetically pure" compared to other Greeks, and what is their connection to the ancient Greeks? How do Albanians differ from other Balkan populations and what are their deep origins? The podcast explores genetic results that demystify the demographic history of the southern Balkans, and two of the deeply indigenous peoples to the region.

It's been a minute since we've had Nikolai Yakovenko on the podcast. Yakovenko is a former professional poker player,and was a research scientist at Google, Twitter and Nvidia. With a decade in computer science, Yakovenko has been at the forefront of the large-language-model revolution that has driven to prominence companies like OpenAI, Anthropic, and DeepMind, and an ecosystem that has birthed hundreds of smaller startups. He is also the founder of DeepNewz, an AI-driven news startup.


On this podcast, Razib and Yakovenko talk about the current top of the line "frontier labs," OpenAI, Anthropic, and Google's DeepMind, why xAI has faltered, and the reality that only DeepSeek in China seems up to challenging the American firms. Yakovenko notes that AI's transformative impact is mostly in the massive capital influx into the sector, as well as becoming a ubiquitous part of the software engineer's toolkit. They discuss how programming without an AI-assist is now likened to "raw dogging" coding, while artificial superintelligence seems a rather distant prospect. The technology is getting better, but predictions of the doomers seem not to have panned out.