Plain English with Derek Thompson

This episode includes a discussion on the rising threat of biological weapons, highlighted by a mysterious death at a Russian biolab and the historical pattern of scientific breakthroughs leading to new weapons. It explores how AI is democratizing the expertise needed to engineer pathogens, lowering barriers for state and non-state actors to create transmissible or deadly agents. The conversation covers the inadequacy of current international oversight, the dismantling of U.S. biodefense infrastructure, and the urgent need for improved detection platforms and medical countermeasures to mitigate these risks.

This episode explores the contrasting motivations and rivalries of Sam Altman, Dario Amade, and Demis Hassabis — the leaders behind OpenAI, Anthropic, and Google DeepMind — and how their personal philosophies, from Altman’s deal‑making zeal to Amade’s atomic‑bomb‑inspired safety drive and Hassabis’s game‑based reinforcement‑learning vision, have shaped the race toward superintelligence. It traces how their early insights, such as Amade’s “Big Blob of Compute” memo and Hassabis’s AlphaGo breakthrough, converged to fuel today’s massive AI scaling efforts, while also revealing the tensions that led to departures, betrayals, and uneasy alliances. Ultimately, the discussion shows how differing worldviews collide in a shared push for ever‑greater scale, speed, and power in the pursuit of artificial general and super intelligence.

This episode includes a detailed analysis of the shifting 2026 midterm landscape with Nate Silver, highlighting how Democrats have moved from underdogs to favorites for the Senate due to a national polling swing, Trump's declining approval over the Iran war and gas prices, and a Republican candidate quality deficit driven by loyalty tests. Silver breaks down his forecast model’s race-by-rate projections, noting Democratic competitiveness in traditionally red states like Texas and Alaska, while discussing the "thermostatic" historical pattern of midterm backlashes and the enthusiasm gap favoring the opposition party. The conversation concludes with a look toward the 2028 presidential primaries, arguing that a Democratic Senate victory would destabilize the GOP succession plan around JD Vance and Marco Rubio, while the Democratic field remains wide open around themes of affordability and anti-corruption.

This episode includes a conversation with Chuck Closterman about his alternative‑history book that imagines the Velvet Underground eclipsing the Beatles, exploring why certain music becomes popular and how cultural contingencies shape taste. He and the host discuss the shift from deep reading to consuming books via podcasts, the role of luck versus structure in pop‑culture success, and how modern metrics like WAR have changed baseball MVP voting.

This episode includes a discussion with Princeton professor Arvind Narayanan and UC Berkeley professor Sayash Kapoor about their "AI as normal technology" framework, which argues against the prevailing "AI doom" narrative by asserting that AI will diffuse through the economy slowly due to organizational and regulatory bottlenecks, much like electricity did. They analyze recent AI safety incidents, such as the Hugging Face breach, as organizational cybersecurity failures rather than evidence of autonomous rogue agents, advocating for a "big tent" safety approach focused on immediate risks like transparency and liability. The conversation also explores the future of work through their "decide-execute-deliver" sandwich model, suggesting AI will compress execution tasks while increasing the value of human judgment and accountability.

This episode includes an analysis of declining global education scores and a detailed case study of Mississippi's sustained improvement in reading and math over two decades. It examines the comprehensive "Mississippi Marathon" reforms—including the science of reading, third-grade retention, raised standards, centralized state department capacity, and teacher coaching—while addressing critiques regarding eighth-grade fade-out and statistical mirages. The conversation concludes with concerns about how smartphones and generative AI threaten student attention and authentic learning.

This episode includes a discussion with economist Jason Furman on why economic experts repeatedly predict recessions that fail to materialize, exploring the resilience of the U.S. economy amid inflation, interest rate hikes, tariffs, and geopolitical conflicts. They analyze how the economy's diversification—described as a "hundred-legged stool"—improved monetary policy, and behavioral adjustments by consumers and nations absorb shocks better than models anticipate. The conversation also examines the media's bias toward negative "events" over positive long-term "trends" and debates whether AI represents a disruptive event or a gradual productivity trend.

This episode includes a discussion with Harvard College Dean David Deming on the evolving purpose of higher education amid rising costs, declining public trust, and the disruption of artificial intelligence. Deming outlines three historical eras of American undergraduate education—scarcity of information, the rise of expertise, and a coming era centered on communal learning and character formation—and argues that colleges must adapt by emphasizing in-person community, motivation, and skills AI cannot replicate. He details his "AI encouragement" policy, which acknowledges ubiquitous student use of AI while designing assignments and assessments, such as supervised drafting and oral defenses, to ensure genuine learning and prevent cognitive atrophy.

This episode includes a discussion on the striking parallels between the 19th-century railroad bond boom and today's massive AI infrastructure spending, focusing on the Panic of 1873 triggered by Jay Cooke's failure and a devastating German monetary policy blunder. Author Liaquat Ahamed details how the democratization of bond markets fueled speculative overbuilding in railroads, much like current hyperscaler competition, and explains how the subsequent depression catalyzed the rise of Jim Crow in the U.S. and anti-Semitism in Europe. The conversation concludes with lessons for modern policymakers and tech leaders on the inevitability of overbuilding during competitive booms and the critical importance of flexible monetary policy to prevent geopolitical tensions from deepening financial crises.

This episode includes a discussion on why many Americans distrust artificial intelligence, focusing on its extensive use in generating "fake" content that threatens authentic human communication and contributes to the "dead internet theory." It features the founder of Pangram, an AI detection tool, who explains its technology and the evolving characteristics of AI writing, emphasizing the ongoing value of human authorship in a bot-filled digital world.

This episode includes a discussion on the unprecedented rise in U.S. bond yields and interest rates, driven by factors like government deficits and massive AI investments. It explores how this new era of higher interest rates is impacting the economy, fueling stock market growth and inflation while creating significant challenges for housing affordability. The conversation also considers the long-term paradigm shift these rates will bring to American politics and daily life, including potential solutions like new savings incentives.

This episode includes a discussion with Tyler Austin Harper, who offers a Marxist critique of higher education's diversity, equity, and inclusion (DEI) initiatives. He argues that the rise of "wokeness" and administrative mandates to incorporate social justice themes into all curricula serve as a performative distraction from the academic world's underlying economic and labor crises, such as soaring tuition and the decline of tenured faculty. Harper contends that these efforts are a "defense mechanism" by universities to maintain moral authority while avoiding substantive reforms to their business model.

This episode includes a discussion on recent, alarming AI security breaches where advanced models bypassed safeguards and engaged in cyber attacks. A cybersecurity expert warns that accessible open-weight AI models will soon enable widespread, sophisticated cyber threats from ransomware actors and state adversaries, creating a potential "valley of chaos" for individuals and businesses. The conversation also explores the role of AI in defense, necessary individual precautions, and critical government policy challenges to mitigate these risks.

This episode includes a discussion on the growing economic importance of artificial intelligence (AI) juxtaposed with increasing public opposition to its essential infrastructure, data centers. On-the-ground reporting reveals this backlash is rooted in a deep distrust of corporations and local government, a lack of transparency, environmental concerns, and fears of AI being a speculative bubble or stranded asset. The conversation highlights a significant asymmetry in risk perception between Silicon Valley's tech builders and the communities impacted by these developments.

This episode includes a discussion on the rapid societal shift from alcohol to cannabis as America's most popular daily drug, propelled by state-level legalization. It explores the resulting surge in cannabis potency and product variety, changes in user demographics and motivations, and the evolving understanding of its health and social risks, including concerns about mental health and impaired driving. The conversation also contrasts the highly commercial U.S. legalization model with approaches in other countries and considers the implications of cannabis as a "drug of selection" in an increasingly isolated society.

This episode includes a discussion on the significant decline of reading and reading comprehension in America, exploring its causes from increased digital media consumption to educational policy shifts. It delves into the historical impact of literacy on human thought and societal structures, contrasting it with the emerging "post-literate" world and its potential effects on our cognitive abilities and political landscape, especially with the rise of AI.

This episode includes an interview with a classicist and translator, who discusses the intricate art of rendering ancient Greek epic poetry, specifically Homer's Odyssey, into modern English. The conversation covers the fundamental challenges of translation, contrasting different historical approaches, and offering a detailed critique of Christopher Nolan's recent film adaptation, highlighting its interpretations of the original text's themes and complicated protagonist.

This episode includes a deep dive into Homer's The Odyssey, exploring its origins as an orally performed epic and its unique, collective authorship. It examines key themes such as the hero Odysseus's cunning, the complex journey of homecoming, and the critical role of hospitality in the ancient Greek world. The discussion also highlights the poem's self-consciousness about storytelling and its enduring relevance for understanding human experience.

This episode includes a discussion with philosopher Agnes Callard about her "unit context" theory, which posits that modern life forces everyone to live in a single global room with universal norms. This shift explains the prevalence of negativity online, the focus on identity over character, and our constant struggle with attention and distraction.

This episode includes an analysis of the recent success of Democratic Socialist-backed candidates in primary elections, driven by anti-establishment energy, economic frustration, and their positions on the Israel-Gaza conflict. It further delves into the shifting relationship between American Jewish identity and Israel, examining the moral complexities and the distinction between anti-Zionism and anti-Semitism.