Podcasts

Stanford Online

Former OpenAI researcher Yash Bottle traces AI model evolution from AlexNet to reasoning agents, identifying continual learning as the next bottleneck while explaining why code dominance stems from verifiable rewards and why enterprises must leverage proprietary data to bridge the gap between frontier models and business context.

AI Engineer

As AI coding models like Codex Spark reach 1,200 tokens per second—20x faster than current standards—developers must abandon bad habits formed during the era of slow inference. This talk outlines a practical playbook for "slow development": orchestrating fast models for execution while using slower, smarter models for planning, and treating AI as a real-time pair programmer requiring constant verification and strict context management.

Joe Rogan Experience

Skylar Grey and Joe Rogan explore how AI-generated music lacks the emotional authenticity of human creation while tracing Grey's unconventional path from child performer to successful artist, including dropping out at 16 after a teacher dismissed music careers, alongside critiques of an education system designed to suppress creative potential.

Jordan Peterson

Jordan Peterson outlines a framework for personal transformation through future authoring, strategic negotiation, and radical truth-telling, arguing that becoming 'dangerous but disciplined' requires knowing what you want, developing real options, and confronting self-deception rather than hiding from conflict.

Dwarkesh Patel

Reiner Pope explains how AI chips work from fundamental logic gates up, revealing that the physical cost of moving data between memory and compute units (via multiplexers) often exceeds the cost of the actual mathematical operations, and that circuit area scales quadratically with precision, making low-precision arithmetic exponentially more efficient than commonly assumed.

TED

Political scientist Ian Bremmer reveals his methodology for navigating geopolitical information, emphasizing diversified international media consumption, long-term trust-building with world leaders, and using a matrix of sources to avoid spin while prioritizing macro analysis over breaking news.

Impact Theory

Tom Bilyeu analyzes a reported 30-day US-Iran ceasefire extension while warning that four simultaneous bond market crises pose greater immediate economic danger than regional wars, arguing modern conflict has evolved into a wealth extraction mechanism serving industrial complexes rather than a pursuit of victory.

New York Times Podcasts

Michael Pollan joins Ezra Klein to explore the fundamental paradox of consciousness—that it is our most immediate experience yet remains deeply mysterious—drawing on beeper experiments tracking mundane thoughts, William James's theories of the stream of consciousness, and research suggesting plants may possess forms of sentience.

My First Million

Stanford economist Chad Jones explores two extreme scenarios for AI's economic impact—explosive growth through full automation versus continuation of the historical 2% annual growth rate—arguing that 'weak links' in production processes likely constrain AI's impact to something closer to business as usual than technological singularity.

How I Built This (NPR)

This NPR podcast examines the San Diego Islamic Center attack by far-right 'accelerationist' teenagers as a stark example of rising white nationalist violence, juxtaposed against the Trump administration's new counterterrorism strategy that prioritizes cartels, Islamist groups, and left-wing extremists while completely omitting right-wing threats.

Latent Space

Daytona CEO Ivan Burazin explains their pivot from human developer environments to 'composable computers' for AI agents, revealing how bare-metal, stateful infrastructure (not ephemeral VMs) unlocked 74% month-over-month growth and massive enterprise demand.

The David Lin Report

Investor Clem Chambers warns that markets have officially entered a bubble phase ignited by SpaceX enthusiasm, guaranteeing a crash within approximately two years, while advising investors to ride the momentum but prepare for volatility driven by massive infrastructure spending and shifting Fed policy.