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In Good Company (Nicolai Tangen)

Mala Gaonkar, founder of SurgoCap Partners, explains her firm's strategy to outperform the market over 3-5 year cycles while minimizing capital loss (not volatility) through concentrated investments in "truly great businesses" with long-duration moats, leveraging data science to debias decision-making across four technology-intersecting verticals.

The Pomp Podcast

Andrew Parish argues that ICE's push for 24/7 tokenized trading will force traditional finance to adopt always-on crypto-style markets, creating an imperative for retail investors to adopt algorithmic tools to compete with institutional automation that never sleeps.

80,000 Hours Podcast (Rob Wiblin)

Historian Christopher Brown argues that the abolition of slavery was a historically contingent 'fluke' rather than inevitable moral progress, demonstrating that deeply entrenched economic interests and social norms do not automatically yield to ethical enlightenment, even when the moral arguments are compelling and widely known.

Dalton + Michael (YC Partners)

While pre-PMF startups should focus solely on execution and user feedback, post-PMF companies must make bold, non-obvious strategic bets—like Facebook's expansion beyond colleges or bundling decisions—to avoid local maxima, because winner-take-most markets mean being the seventh-best player trends toward zero revenue, not proportional market share.

a16z Podcast

Alex Rampel from a16z outlines how AI represents the fifth major technology product cycle, enabling unprecedented revenue velocity for application-layer companies. He identifies three core investment themes—AI-native traditional software, software that replaces labor, and walled-garden data models—emphasizing that enduring value comes from owning end-to-end workflows and proprietary data rather than just AI features.

AI Engineer

Joel Becker from METR argues that slowing compute growth would proportionally delay AI capabilities milestones measured by task time horizons, while presenting findings that experienced open-source developers showed minimal productivity gains from AI coding assistants like Cursor, challenging optimistic adoption curves.

Huberman Lab

Six-time Mr. Olympia Dorian Yates advocates for high-intensity, low-volume resistance training taken to true muscular failure just 2-3 times per week for 45 minutes, emphasizing that adequate recovery, proper form, and real-world outcomes matter more than laboratory metrics or training volume.

Conversations with Tyler (Tyler Cowen)

Former OFR Director Richard Berner warns that global liquidity has become increasingly fragile due to a fundamental mismatch between surging sovereign debt issuance and shrinking market-making capacity, while the shift to collateralized finance and looming fiscal dominance risks threaten to amplify future financial stress.

Founders Podcast (David Senra)

Tobi Lütke explains that companies are primitive social technologies allowing entrepreneurs to test counterfactual visions against reality, but Shopify nearly failed when he tried to "cosplay" as a traditional CEO after the IPO—only surviving COVID by personally canceling 60% of projects and rederiving the company from first principles.

Cognitive Revolution

Cybersecurity veteran Daniel Miessler presents his Personal AI Infrastructure (PAI) framework designed to activate human agency rather than replace it, while predicting that scaffolding tools like Claude Code will enable corporations to converge toward single-owner structures staffed by AI agents—rendering most traditional knowledge work obsolete by 2027.

We Study Billionaires (TIP)

Churchill Downs (CHDN) operates the iconic Kentucky Derby while generating consistent profits through a unique ecosystem of Historical Racing Machines and B2B gambling technology, delivering 17% annual returns over the past decade—a rare combination of trophy asset prestige and viable business economics.

Machine Learning Street Talk

The video argues that every historical model of the brain—from hydraulic pumps to modern computers—represents a "fallacy of misplaced concreteness" where useful technological metaphors are mistaken for literal biological reality, advocating instead for epistemic humility regarding whether nature is truly simple or merely intelligible through necessary human simplifications.