🎙️ Podcasts

Stanford Online

This seminar explores how personalized foundation models trained on wearable data can predict intervenable health events (like cravings or blood pressure spikes) to enable just-in-time digital interventions, but emphasizes that HCI is critical to solve adherence challenges, inconsistent labeling, and misaligned evaluation metrics.

Joe Rogan Experience

Former law enforcement officer David Paulides discusses his investigation into thousands of mysterious disappearances in U.S. national parks, highlighting cases with inexplicable circumstances and alleging systematic obstruction by the National Park Service, which refuses to release decades-old case files and demands exorbitant fees for basic data.

The David Lin Report

Grayscale's Krista Lynch explains the mechanics behind institutional Bitcoin ETF adoption, including how whales convert holdings into ETF shares and why tokenization volume has surged 245% despite crypto price declines as the industry pivots toward infrastructure building.

Jordan Peterson

Jordan Peterson explains how voluntary responsibility, truthful articulation, and confronting the past differentiate healthy discipline from resentment, while arguing that our true beliefs are revealed through actions rather than professed ideology.

Cognitive Revolution

Google DeepMind's Logan Kilpatrick and Tulsee Doshi detail the launch of Gemini 3.5 Flash, Omni video generation, and Spark agent features, emphasizing a strategic pivot toward cost-adjusted performance and standardized agent infrastructure ('anti-gravity') across Google's product ecosystem rather than competing solely on absolute model capability.

Bankless

Crypto Kid delivers a bearish short-term outlook for Bitcoin and Ethereum, citing breakdowns from key technical patterns and historically low volume, while highlighting Hyperliquid's surprising institutional ETF traction and system resilience as the only standout altcoin in the current downturn.

New York Times Podcasts

TV writer Lauren Bans discovered escape rooms as an unlikely remedy for heartbreak after her husband's infidelity ended their marriage while she was seven months pregnant, finding that the intense cognitive focus required by immersive puzzles succeeded where therapy, Reiki, and traditional distractions failed.

Machine Learning Street Talk

Professor Michael I. Jordan critiques the hype around AGI and prediction-based LLMs, arguing that modern AI lacks economic and social thinking; he advocates for 'inference' systems grounded in game theory and market dynamics that respect human agency and create collective value.

Machine Learning Street Talk

Professor Michael I. Jordan critiques AGI as harmful PR that demoralizes young engineers, arguing that true intelligence requires economic and social systems thinking—treating billions of humans as agents in value-creating ecosystems—rather than isolated prediction engines built without intellectual foundations.

In Good Company (Nicolai Tangen)

Pfizer CEO Albert Bourla discusses leveraging COVID-19 vaccine success to build organizational resilience, executing $80+ billion in strategic acquisitions targeting antibody-drug conjugates and obesity treatments, and restructuring R&D to double clinical success rates, while predicting AI will fundamentally reshape medicine within five years.

My First Million

Journalist Megan Greenwald examines how private equity's incentive structure allows firms to profit through financial engineering and debt loading even when portfolio companies fail, creating devastating consequences for workers, communities, and industries ranging from retail to healthcare.

Stanford Online

This lecture establishes that training data—not architecture—is the most critical and secretive component of modern language models, examining the technical impossibility of crawling the 'entire internet,' the three-stage data pipeline from raw web to specialized post-training, and the tightening legal constraints of copyright law and terms of service that increasingly restrict what can be legally used for training.