Long-form interviews and conversations with tech, AI, and finance leaders (30min+)
Stanford professor James Landay argues that truly human-centered AI requires expanding beyond traditional user-centered design to address community and societal-level impacts, while tackling embedded Western cultural biases and the global rise of sovereign AI initiatives.
Goldman Sachs CEO David Solomon and a16z co-founder Ben Horowitz discuss why current macro conditions represent the most favorable environment for financial assets in 40 years, driven by a unique cocktail of fiscal stimulus, monetary easing, deregulation, and AI capital investment, while emphasizing the critical importance of scale, stable funding, and proactive policy engagement for institutional competitiveness.
Jordan Peterson argues that avoiding the necessary sacrifices of adulthood through institutionalized adolescence creates a deferred penalty that culminates in crisis, advocating for voluntary limitation and truthful communication as the only path to meaningful competence.
Former EY Global Chief Innovation Officer Jeff Wong argues that traditional industries must abandon generational planning cycles for portfolio-based AI innovation strategies, leveraging vast proprietary data assets while requiring leaders to personally adopt the tools they seek to implement.
Great startup sales isn't about high-pressure tactics or slick pitches—it's about genuine problem-solving where founders act as empathetic partners to customers, staying personally involved in deals rather than outsourcing too early, and ensuring both sides genuinely benefit from the transaction.
Despite a brutal cross-market crash fueled by weekend FUD including Jeffrey Epstein conspiracy theories, Bitcoin's technical structure shows a high-probability setup for a relief rally to fill the $81,000 CME gap, with liquidation data and support confluences favoring tactical long positions over shorting at current levels.
Dr. Read Montague explains that dopamine functions primarily as a real-time learning signal encoding the difference between successive predictions (temporal difference errors), not just as a reward chemical. This biological algorithm, which enables continuous learning during long gaps between outcomes, is the same one powering modern AI breakthroughs like AlphaGo and governs human motivation, decision-making, and social behaviors like dating.
Scott Sumner argues that monetary policy should be simplified by focusing on nominal GDP as the key indicator, returning to pre-2008 Fed operations, and recognizing that most business cycles stem from central bank mistakes rather than external shocks.
Jordan Peterson analyzes evolutionary mating strategies (men selecting for fertility markers vs. women selecting for status), demonstrates how personality traits like neuroticism create systematic income disadvantages, and argues that mental health requires resisting possession by autonomous psychological subpersonalities through radical authenticity.
![GE Aerospace: Full Throttle [Business Breakdowns Episode 235]](https://i.ytimg.com/vi/64xjlq_rKW0/hqdefault.jpg)
GE Aerospace has emerged as a pure-play aerospace powerhouse with dominant market positions in commercial jet engines, generating predictable cash flows from a $175 billion backlog while benefiting from Larry Culp's operational turnaround that shed the conglomerate structure to focus on this high-margin crown jewel.
David Hay argues the biggest threat to US markets is not domestic recession but a reversal of massive foreign capital inflows—'Godzilla' emerging to battle the 'giant mindless robot' of passive flows—as the US dollar breaks down and global investors repatriate funds to international markets and hard assets.
Mark Zuckerberg and Priscilla Chan detail the Chan Zuckerberg Initiative's evolution into an AI-powered biology engine, aiming to cure or prevent all diseases by century's end through interdisciplinary "Biohubs" that merge wet lab research with frontier AI development and sustained infrastructure investment.