Invest Like the Best with Patrick O'Shaughnessy

David Vélez, Colombian entrepreneur and Nubank founder and CEO, discusses reinventing banking for the AI era. He explores why traditional finance remains stuck in its “Blockbuster era,” how AI could create self-driving money and personal financial intelligence, and Nubank’s expansion into the U.S. The conversation also covers fintech moats, stablecoins, organizational redesign, leadership, and the ambition to reach 100 countries.

Andrew Huberman, Stanford neuroscientist and creator of Huberman Lab, explores neuroscience’s next frontier. They discuss devices that could read and write brain states, the challenge of mapping focus and motivation, and the evolution from blunt interventions to precise neural control. The conversation also examines sleep technology, memory circuits, human enhancement, genetic selection, and the uneasy boundary between biology and machines.

Noah Shinn, founder of Instinct, is building a personal AI agent that can text, call, email, and act online. He explores surprising uses, from wardrobe planning and financial cleanup to travel and reservations. They discuss agent-to-agent coordination, earning trust with sensitive data, ad-free incentives, security, compute costs, and a future where software collapses into one simple interface.

Gabe Stengel, co-founder and CEO of finance AI platform Rogo, explores how artificial intelligence is reshaping investing. They discuss thousands of agents, private-market dealmaking, auditability, persistent memory, and the shift toward outcome-based pricing. Stengel also shares Rogo’s evolution, 40 investor rejections, and what it takes to build a magnet for talent and capital.

Michael Moritz, investor, writer, and former Sequoia leader, explores the refugee family history behind his identity and ambitions. He recalls studying founders’ childhoods, the Time profile that ended his relationship with Steve Jobs, and Don Valentine’s unconventional bet on him. He reflects on monomania, Alex Ferguson’s leadership, Elon Musk, AI’s disruption, writing with clarity, and learning tolerance.

Walter Russell Mead, a Wall Street Journal columnist and scholar of American power, explores why maritime liberal societies repeatedly rise to global leadership. He examines Trump’s fame-driven politics, China’s economic vulnerabilities, the rise of tech Hamiltonians, India’s growing influence, and the transformation of warfare through drones and AI. The conversation also tackles Taiwan, Middle Eastern deterrence, and America’s strategic future.

Sarah Guo, founder and managing partner of AI-focused venture firm Conviction, explores what frontier builders believe about AI’s future. They discuss the race for talent and compute, energy and industrial bottlenecks, open-source models, home robots, AI agents, and breakthroughs in science and biology. Guo also shares how she identifies non-obvious opportunities and backs founders before consensus forms.

Neil Movva, founder of Sail, builds a 'token factory' to drive inference cost way down. He walks through optimizing software, chips, and power for long-running AI agents. Short talks cover the throughput vs latency tradeoff, scavenging underused chips and intermittent power, and why ultra-cheap tokens could reshape always-on agents.

Ben Thompson, founder of Stratechery and tech strategist, weighs in on Big Tech, China, and AI. He debates why U.S. dominance in AI could be risky. He compares AI buildout to railroads and shipping, warns capital not compute may bind progress. He breaks down company strengths from Nvidia to Apple and explains why consumer AI may need ad-based monetization.

Eric Vishria, General Partner at Benchmark with deep experience in software, cloud, and compute. He recounts what AWS’s rise teaches about AI. He contrasts cloud and AI adoption, explains hardware bets like Cerebras, and describes building enterprise AI products and the changing traits that win.