🎙️ Podcasts

The Knowledge Project (Shane Parrish)

OpenAI co-founder Greg Brockman recounts the company's 2015 origins competing against DeepMind's perceived insurmountable lead, the technical breakthroughs that validated the scaling hypothesis, the 2017 pivot from non-profit to for-profit to secure billions in compute, and the boardroom dynamics that led to Sam Altman's brief removal.

In Good Company (Nicolai Tangen)

Xiaomi CFO Alain Lam details how the 16-year-old company leveraged localized supply chains and 'China speed' to evolve from a smartphone disruptor into an electric vehicle manufacturer, selling 50,000 EVs in 30 minutes by treating cars as integrated consumer electronics rather than traditional automobiles.

My First Million

Former LinkedIn CPO Tomer Cohen explains how AI is rendering traditional functional roles obsolete in favor of "full stack builders," warns that mid-career professionals face the highest displacement risk due to change aversion, and argues that organizational survival requires adopting a beginner's mindset as technological change outpaces best practices.

The David Lin Report

Axel Merk discusses the uncertain transition from Powell to Kevin Warsh at the Fed, explains why gold remains essential despite frustrating short-term correlations with equities, and argues that current oil supply shocks pose limited recession risk due to structural economic changes.

The David Lin Report

Economist Barry Eichengreen warns that while no currency currently exists to replace the dollar, its safe haven status is more fragile than previously believed, and the Federal Reserve faces a 'nightmare scenario' of stagflationary pressure that will test its independence from political interference.

AI Engineer

Sander Dieleman from Google DeepMind explains the technical foundations of training large-scale generative image and video models like Veo, emphasizing that meticulous data curation and learned latent representations are as critical as the diffusion architecture itself. He details how diffusion models reverse a noise corruption process through iterative refinement rather than single-step prediction.

Joe Rogan Experience

Rogan and Gomez compare arena versus club comedy dynamics, expose systemic glyphosate contamination in American wheat processing compared to European heirlooms, and debate metabolic optimization through sobriety or substances while defending intellectual flexibility against internet dogma.

Jordan Peterson

Jordan Peterson explores the necessity of maintaining flexible conceptual structures to navigate constantly transforming reality, warning that rigid ideologies fail because the map is never the territory. He further argues that a growing cognitive divide threatens societal stability, as meaningful responsibility—not leisure—is psychologically essential for human functioning.

New York Times Podcasts

Despite President Trump's calls for Iranians to overthrow their government during US-Israeli bombing campaigns, Iranians remained largely paralyzed by communication blackouts, regime oppression, and deep-seated trauma from decades of violent crackdowns on protesters.

Impact Theory

The United States has reached a Gini coefficient of 0.86—just 0.01 away from the 1890 Gilded Age peak—creating a dangerous combination of extreme wealth concentration and unaffordability that historically precedes societal collapse through either structural fiscal reform or mass violence.

Stripe

DoorDash CEO Tony Xu explains how the company won the food delivery wars by prioritizing multi-dimensional service excellence and organic retention over discounting during capital-scarce years, while analyzing how rising labor costs are forcing restaurants to choose between hospitality and manufacturing models.

The Prof G Pod (Scott Galloway)

China is emerging as the world's dominant exporter of AI tokens—the computational fuel for large language models—delivering 4.12 trillion tokens in one week compared to America's 2.94 trillion at roughly one-sixth the cost, creating a structural advantage that is driving US startups to adopt Chinese models despite escalating geopolitical tensions over data security and technological dependence.