David Mittelman: pushing the genomic frontier in 2024
Three years ago David Mittelman came on Unsupervised Learning to talk about emerging possibilities on the frontiers of genomics, and his new startup at the time, Othram. Since then, Othram’s work has been featured widely in the media, including in a Law & Order episode, and the firm has solved thousands of unsolved cases, with nearly 500 public. For over a decade, Mittelman has been at the forefront of private-sector genomics research. He trained at Baylor College of Medicine and was previously faculty at Virginia Tech. Razib and Mittelman discuss the changes that the rapid pace of genomic technology has driven in the field of genetics, from the days a $3 billion dollar draft human genome in the year 2000 to readily available $200 consumer genomes in 2024. One consequence of this change has been genetics’ transformation into information science, and the dual necessities of increased data storage and more powerful, incisive data analysis. Genomics made information acquisition and analysis so easy across the research community that it allowed for the pooling of results and discoveries in big databases. This has pulled genetics out of the basic science lab and allowed it to expand into an enterprise with a consumer dimension. Mittelman also discusses the improvements and advances in DNA extraction and analysis techniques that allow companies like his to now glean insights from decades-old samples, with bench sciences operating synergistically with computational biology. Razib and Mittelman talk about how he has helped solve hundreds of cold cases with new technology, in particular, at the intersection between new forensic techniques and both whole-genome sequencing and public genetic databases. They also discuss the future of genetics, and how it might touch our lives through healthcare and other domains, passing from inference to fields like genetic engineering
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56:41
In Search of Indo-Europeans in 2024: of Catacombs and Corded Ware
On this episode of Unsuperivsed Learning reviews what we know about Indo-Europeans as 2024 comes to a close. This is prompted by a new preprint Ancient genomics support deep divergence between Eastern and Western Mediterranean Indo-European languages, which finally establishes that populations in Northern and Southwestern Europe derived from a different steppe-origin population than the Greeks and Ilyrians of the Balkans, as well as Armenians. Razib talks about how ancient DNA is resolving long-standing disputes in historical linguistics, and coming down on the side of very particular sets of hypotheses. He discusses Peter Bellwood’s First Farmers: The Origins of Agricultural Societies, and its models about the origins of Indo-European languages, and how they have been falsified by paleogenomics. Razib also steps through the relationship of particular Indo-European groups to ancestral archaeological cultures like the Corded Ware, Bell Beaker and Catacomb Cultures. He also talks about the connections between charioteers and the early Mycenaeans, and looks at Robert Drews’ ideas in Coming of the Greeks. Finally, he addresses outliers in the ancient DNA data that indicate connections between locales as disparate as Scandinavia and Cyprus 4,000 years ago.
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35:36
Megan McArdle: American food culture, artisanal to industrial
This week on Unsupervised Learning Razib talks to Megan McArdle, author of The Up Side of Down: Why Failing Well Is the Key to Success and Washington Post columnist and op-ed board member. McArdle was raised in New York City and attended Riverdale Country School. She obtained an undergraduate degree in English from University of Pennsylvania and an MBA from the University of Chicago. A pioneering blogger based out of New York City and covering the site of the WTC in the wake of 9/11, McArdle went on to work at The Economist, The Atlantic and Newsweek. In this episode, the discussion largely focuses on McArdle’s research about the cultural history of food and cooking in the US. But first they discuss the economic implications of Donald Trump’s election, and the domestic consequences shifting toward a tariff-heavy trade regime. McArdle lays out the case that a massive tariff would have the same impact as a tax, not to mention the broad disruptive economic effects on large companies’ supply chains. Then they move on to the changes in American cuisine over the last few centuries, and the shifts driven by technology and innovation. McArdle points out that in the 19th century, gelatin dessert was a luxury and an exotic treat because it was labor intensive to prepare. But by the middle of the 20th century industrial-scale food processing made gelatin, in particular Jell-o, a cheap commodity, and it became associated with the lower classes. Similarly, before factory farming, chicken and eggs were more expensive than red meat, and thus viewed as high-end ingredient (whereas today, chicken is far cheaper than beef). Finally Razib and McArdle talk about how the plentitude of food available in the 21st century contributes to the obesity epidemic that has only ceased its relentless expansion with the advent of Ozempic.
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1:34:14
Nikolai Yakovenko: the Singularity is not here
On this episode of Unsupervised Learning, Razib catches up with Nikolai Yakovenko about the state of AI at the end of 2024. Yakovenko is a former professional poker player,and 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 given rise to multi-billion dollar companies like OpenAI, Anthropic and Perplexity and hundreds of smaller startups. Currently, he is the CEO of DeepNewz, an AI-driven news startup that leverages OpenAI’s latest model. Full disclosure: Razib actively uses and recommends the service and is an advisor to the company. Razib and Yakovenko first review what makes the last few years special, the rise of large-language-models on top of neural network architecture of transformers. Yakovenkoi discusses how far they’ve come since OpenAI released ChatGPT to the public in the fall of 2022, and how people have been using the underlying technology to develop applications atop it. Despite predictions of mass unemployment, Razib points out that two years later America is at full employment, and only niche fields like translation have been impacted. In contrast, Yakovenko points out that most software developers use artificial intelligence in some form to aid in their daily engineering work, noting the possibility that the AI revolution is integrating itself seamlessly as a utility for preexistent jobs. They also discuss the fact that though AI is a booming field, only one brand-name company has so far emerged in the industry, OpenAI. Though they agree that the current hype cycle is now abating, it is clear that the major investments in the field like data centers will continue from major players as AI-driven applications like self-driving cars become more and more mainstream.
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1:07:00
Yascha Mounk: American democracy in 2024
On this episode of Unsupervised Learning, Razib talks to Yasha Mounk. The founder of Persuasion, a contributor to The Atlantic and a professor at Johns Hopkins, Mounk now has his own Substack, where he hosts his weekly column and podcast. He is the author of The Great Experiment: Why Diverse Democracies Fall Apart and How They Can Endure, The People vs. Democracy: Why Our Freedom Is in Danger and How to Save It and The Identity Trap: A Story of Ideas and Power in Our Time. Razib and Mounk first discuss Mounk’s immediate reaction to the 2024 election, and how the Democrats might pick up the pieces going forward. Mounk believes that the argument in his book The Identity Trap, neatly captures many of the problems for the party. Democrats leaned in on the inevitably of racial polarization in an age of progressive depolarization. Razib also asks Mounk for his retrospective on the COVID-19 epidemic, in which he was a commentator who argued in The Atlantic for more stringent habits and then later, for an opening up. They also discuss how the Public Health establishment COVID interventions threw the whole field into disrepute, and what it tells us about the nature of expertise. Then Razib asks Mounk about European nations and their future. In particular, whether their low productivity and fertility rates combined with mass migration doom them to a future of irrelevance and national dissolution. Mounk highlights the unfortunate case of the UK in particular, though he notes that his home nation of Germany is finding itself in a precarious situation with China competing with its manufacturers and Russia cutting off its gas supply. Finally, Razib closes by asking Mounk whether he is still as worried about American democracy in the wake of the 2024 Trump win as he was in 2016.
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