🎙️ Podcasts

Cognitive Revolution

Kyle Corbitt explains that unlike supervised fine-tuning (SFT), which destructively overwrites model weights and causes catastrophic forgetting, reinforcement learning (RL) optimizes performance by minimally adjusting logits within the model's existing reasoning pathways—delivering higher performance ceilings and lower inference costs for specific tasks, though frontier models may still dominate creative domains.

AI Engineer

This workshop demonstrates how to bridge the gap between AI prototypes and production systems using Brain Trust's observability platform, featuring Trainline's experience deploying multi-agent AI applications serving 27 million users.

New York Times Podcasts

New York Times book critics Gilbert Cruz, Tina Jordan, and Dwight Garner reflect on two decades of literary evolution, tracing how memoir scandals, dystopian YA blockbusters, Scandinavian crime waves, and the autofiction revolution reshaped reading habits and publishing trends.

Stripe

AI leaders Nat Friedman and Daniel Gross join Stripe's Collison brothers to discuss how we're in the 'slow' beginning of the singularity, where human bottlenecks still constrain model improvement but will soon give way to AI self-improvement, creating profound economic uncertainty and a new golden age of personal AI agents that fundamentally alter human-technology relationships.

How I Built This (NPR)

NPR security correspondents analyze the third assassination attempt on President Trump at the White House Correspondents' Dinner, examining suspect Cole Allen's background and motives while debating whether the Secret Service response constituted a security success or systemic failure.

Stanford Online

Anjney Midha frames the current AI landscape as 'the great transition,' where industrial-scale model training meets a complete restructuring of the eight-layer infrastructure stack, while arguing that relationships and obsessions remain the ultimate asymmetric advantages for founders against entrenched incumbents.

Stanford Online

This lecture introduces scaling laws as predictive power-law relationships that enable practitioners to optimize language model training on small budgets and confidently extrapolate performance to million-dollar large-scale runs, while tracing these empirical patterns back to classical machine learning theory and sample complexity research from the 1990s.

The Prof G Pod (Scott Galloway)

Ian Bremmer analyzes the widening rift between UAE and Saudi Arabia following the former's shock OPEC exit, while explaining how Iran's unexpected military resilience has trapped the Trump administration in a war with no viable exit strategy despite mounting domestic pressure and fraying alliances.

The David Lin Report

Chris Vermeulen warns a devastating market correction is inevitable long-term but remains aggressively long equities short-term based purely on bullish technical signals and money flows, demonstrating a disciplined price-following strategy that ignores macro news noise.

Stanford Online

A researcher from Physical Intelligence argues that while robots now excel at short, dexterous tasks, true utility requires long-horizon autonomy for complex jobs like cleaning apartments or assembling server racks. The talk introduces MEM (Multiscale Embodied Memory), a system that uses compressed visual and linguistic memory to solve the latency and distribution shift problems that have historically prevented robots from tracking progress over extended time periods.

The David Lin Report

Former Yukon Premier Ranj Pillai argues that Canada's resource sector is primed for explosive growth amid $4,600 gold prices and a 180-degree federal policy reversal, despite the Bank of Canada remaining the only G7 nation with zero gold reserves and facing 15-year permitting bottlenecks.

Stripe

John Collison and Emily Sans present Stripe's economic data revealing a surge in AI-driven business dynamism, debunking myths about a K-shaped recovery while showing how solopreneurs scale faster than ever and commerce shifts toward autonomous agents.