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Theo Jaffee speaks with Samo Burja, founder of Bismarck Analysis, about AI, industrial capacity, economic growth, and the institutions that shape civilization.
The conversation explores how AI’s demand for compute, energy, and infrastructure could trigger a new wave of industrial expansion, benefiting sectors far beyond technology. Burja argues that AI is not just a software story but a demand shock that will ripple through energy, manufacturing, construction, and global supply chains.
They also discuss China and the United States, demographic decline, fertility, state capacity, welfare systems, and the political economy of automation. Along the way, Burja shares his views on functional institutions, economic growth, and why societies that can effectively organize people and resources may have an enduring advantage in the AI era.
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Erin Price-Wright speaks with Alex Modon, cofounder and CEO at Unlimited Industries, and Davide Asnaghi, CEO at Diode Computers, about how AI is moving from software into the physical world. They discuss automating construction and electronics design, using code and simulation to model real-world systems, and how incentives and manufacturing constraints shape adoption. They also examine what it takes to scale infrastructure, reduce build times, and unlock more abundant industrial capacity in the United States.
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Eksik bölüm mü var?
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Wyatt Thomson of OpenAI speaks with economists Tyler Cowen and Alex Tabarrok about AI, labor markets, and the future of economic growth.
The conversation explores one of the most common fears surrounding AI: that increasingly capable systems will eliminate jobs. Cowen and Tabarrok argue instead that economic growth remains the key variable. Throughout history, productivity-enhancing technologies have transformed work, created new industries, and expanded living standards, even as they disrupted existing jobs and institutions.
They discuss automation, comparative advantage, inequality, education, healthcare, energy, and the kinds of work that may become more valuable in an AI-driven economy. Along the way, they examine longer-term questions about abundance, ownership, AI agents, and how societies can adapt to rapid technological change.
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Erik Torenberg speaks with tech analyst Benedict Evans about the current state of AI, what has changed over the past year, and which questions remain unanswered.
The conversation covers coding agents, foundation models, AI infrastructure spending, software economics, and the tension between today's AI excitement and the long-term realities of technology adoption. Evans discusses why coding has emerged as AI's first breakout use case, how previous platform shifts can help frame the current moment, and why many of the most important questions about AI remain unresolved.
Along the way, they explore the future of software, enterprise adoption, consumer behavior, and whether AI models ultimately capture value themselves or become infrastructure for the next generation of applications.
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Sarah Wang speaks with Exa cofounder and CEO Will Bryk about building search infrastructure for the AI era.
The conversation covers Exa’s origins, why traditional search engines were not designed for AI agents, and how search changes when the user is no longer a human but an autonomous system. They discuss retrieval, agent workflows, coding agents, data access, and why search may become a foundational layer for the emerging agent economy.
Along the way, Bryk shares his views on AI-native products, the future of information discovery, and why some of the most important problems in technology can ultimately be framed as search problems.
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Martin Casado speaks with George Fraser, cofounder and CEO of Fivetran, about the future of data infrastructure in the age of AI.
The conversation covers Fivetran’s merger with dbt, the changing role of data platforms, and why Fraser believes many companies are overestimating the threat AI poses to enterprise software. They discuss open data access, the backlash against AI agents accessing systems of record, and why businesses still need centralized data foundations even as agent-based workflows become more common.
Along the way, Fraser shares his views on data gravity, coding agents, enterprise AI adoption, and how AI is changing the way software companies build and operate products.
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Theo Jaffee and Sophia Puccini speak with Balaji Srinivasan and Steven Glinert about the shifting balance of power between nations, networks, and technology.
The conversation covers China’s industrial rise, America’s manufacturing challenges, the role of alliances in a multipolar world, and whether the internet is becoming a political force independent of traditional nation states. They discuss supply chains, technological sovereignty, decentralization, and competing visions for the future global order.
Along the way, Balaji outlines ideas from the Network State and Network School, while both guests debate how technology, economics, and political power may evolve over the coming decades.
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Theo Jaffee speaks with Steven Sinofsky about the next generation of personal computing and the growing role of AI-native hardware.
The conversation covers NVIDIA’s entry into the PC market, Microsoft’s strategy for AI-powered devices, Apple’s hardware roadmap, and the long-running tension between backward compatibility and platform reinvention. Sinofsky explains why AI may fundamentally change how personal computers are designed, and why local inference could become increasingly important as AI workloads grow.
Along the way, they discuss Windows, Surface, Arm processors, Apple Silicon, and what the future of computing might look like as AI shifts from the cloud to devices.
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Anish Acharya and Olivia Moore speak with Pablo Palafox and Luis Paarup about the challenges of deploying AI agents in operationally complex industries.
The conversation covers the evolution of voice AI, enterprise workflows, and why logistics became an early proving ground for agent-based systems. They discuss context, coordination, and execution inside large organizations, as well as the role of forward-deployed engineering, enterprise deployment, and what it takes to move AI from experimentation into production.
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David George, General Partner at a16z, and David Clark, CIO at VenCap, discuss how AI is reshaping venture capital and the technology industry itself. They examine why today’s AI companies are scaling faster than any previous generation of startups, and why the eventual outcomes may be significantly larger than most investors currently expect.
The conversation covers frontier AI models, coding agents, open source competition, data center constraints, and who ultimately captures value in the AI ecosystem. They also discuss what these shifts mean for venture capital itself, including larger company outcomes, faster value creation, and the growing challenge of identifying durable winners in a market evolving at unprecedented speed.
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Angela Strange speaks with Dileep Thazhmon, founder and CEO of Jeeves, about building a global financial operating system for enterprises across Latin America using stablecoins and AI.
The conversation covers the challenges of building localized financial infrastructure across 25 countries, from regulation and payments to underwriting and compliance. They also discuss why stablecoin adoption is accelerating in Latin America, and how AI is helping Jeeves scale billions in payment volume while automating underwriting, customer support, reconciliation, and KYB workflows.
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In 1990, Marc Rowan walked out of Drexel with his belongings in a cardboard box. Within a year, Apollo was managing $6 billion.
David Haber speaks with Marc Rowan, Cofounder, CEO, and Chair of Apollo Global Management, about building Apollo into one of the world’s largest alternative asset managers and how private capital is reshaping the global economy.
The conversation covers the rise of private credit, and why Rowan believes private markets are becoming increasingly central to financing the real economy. They also discuss AI, data centers, robotics, and the growing intersection between venture-backed technology companies and large-scale private financing.
Along the way, they reflect on leadership, institutional culture, and why enduring organizations must adapt rather than protect the status quo.
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Theo Jaffee and Sophia Puccini speak with economist Robin Hanson about prediction markets, gambling, and why he believes speculative markets are one of the most powerful tools humans have for aggregating information and forecasting outcomes.
The conversation begins with Minnesota’s recent law criminalizing prediction markets before expanding into the broader backlash surrounding platforms like Kalshi and Polymarket. Hanson explains his long-term vision for “decision markets,” where markets could help guide choices made by companies, governments, and even individuals.
Along the way, they discuss sports betting, games and human psychology, futurism, AI, and Hanson’s broader work on how societies misunderstand risk, incentives, and coordination
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Originally aired on MTS segment, Monetary Matters, Jack Farley and Max Wiethe speak with Ara Kharazian, Lead Economist at Ramp, about what real business spending data says about AI adoption, why the “SaaSpocalypse” narrative is overblown, and how companies are actually buying and deploying AI tools. They also discuss Anthropic overtaking OpenAI in Ramp’s AI Index, token-based pricing, AI productivity gains, and why many legacy software firms may be more resilient than people expect.
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Clem Delangue joins MTS to discuss the global open-source AI landscape, the current large language model bubble, and the future of consumer robotics.
Originally aired on MTS, Theo Jaffee and Sofia Puccini speak with Clément Delangue, CEO at Hugging Face, about the global open-source AI race, why he believes the real bubble is in API-based large language models, and how robotics could become the next major interface for AI. They also discuss AI safety, U.S.-China competition, open-weight models, and why Hugging Face became the infrastructure layer for open AI development.
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Rahul Vohra is the founder and CEO of Superhuman, the premium email client for power users. He previously built the Gmail plug-in Reportive and sold it to LinkedIn. He began somewhere unexpected though, as a game designer on RuneScape. In this conversation, Rahul breaks down why most founders misunderstand product market fit, why premium can actually hurt your business, and how deliberate constraint can become your biggest advantage.
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Marc Andreessen joins Joe Rogan for a conversation on AI, politics, technology, and the future of American society. They discuss how artificial intelligence is rapidly moving from novelty to infrastructure, and why Andreessen believes its long-term impact will be overwhelmingly positive despite growing public fear around automation and surveillance.
The conversation covers the explosion of AI coding tools, the emergence of “AI agents,” and how these systems are already reshaping software development, medicine, and education. Andreessen argues that AI should be understood less as replacement technology and more as a universal layer of cognitive augmentation, giving individuals access to capabilities that previously required teams of experts.
They also discuss the political and cultural dynamics surrounding AI, from fears about mass unemployment and surveillance to concerns about censorship, centralized power, and China’s accelerating AI ecosystem. Along the way, the discussion expands into California politics, wealth taxes, urban decline, crime, housing, nuclear energy, and whether America can still build ambitious things at scale.
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Erin Price-Wright speaks with Michael Duffey and Dino Mavrookas about what it will take to rebuild the American defense industrial base for a new era of competition. As production capacity becomes a central constraint, they outline how the system must shift toward speed, scale, and modern manufacturing.
The conversation covers the role of autonomy in both defense systems and industrial processes, and how new approaches to design, labor, and production can dramatically reduce cost and complexity. Mavrookas explains how building for software and autonomy enables entirely new classes of platforms, while Duffey emphasizes the need for structural changes in how the Department of Defense works with industry.
They also discuss the importance of commercial markets in supporting defense capabilities, the fragility of existing supply chains, and why aligning private capital with national priorities is essential to long-term resilience.
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David Ulevitch speaks with Col. Jeffrey Glover and Rahul Sidhu about how AI, drones, and sensor networks are reshaping public safety and what it takes to bring new technology into law enforcement at scale. As departments face staffing shortages, burnout, and rising complexity, they examine how the right tools can make officers more effective, safer, and better supported.
The conversation covers how drone-as-first-responder programs are changing the speed and safety of emergency response, from high-risk warrant service to Amber Alert pursuits. Glover describes how Arizona DPS is building a full technology ecosystem around its officers, including body-worn camera analytics for burnout detection, brain scan wellness checks, and international intelligence-sharing partnerships ahead of FIFA and the Olympics. Sidhu explains how Flock Safety's layered sensor network — license plate readers, gunshot detection, and drone dispatch — is turning reactive policing into proactive, data-driven response.
They also discuss what founders get wrong when building for law enforcement, why spending time on the beat matters more than any product spec, and how the next decade will fundamentally change the skills required to be a police officer in America.
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Sophia Dew and Binji Pande speak with Vitalik Buterin about technology, human agency, and how the internet is changing the way people think, build, and relate to the world around them. Drawing from his writings and personal reflections, Buterin discusses how his worldview has evolved over the last decade, from creating Ethereum as a teenager to thinking more deeply about the social and philosophical implications of technology today.
The conversation explores the idea of “sanctuary technology,” systems that provide safety and coordination without removing individual freedom or agency. They also discuss the changing relationship between humans and AI, the risks of over-relying on automated systems, and why actively learning and thinking for yourself may become even more important as AI capabilities improve.
Along the way, Buterin reflects on creativity, community, identity, and the challenge of staying intentional in a world that increasingly pushes people toward autopilot.
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