Podkey Slopcast
Agents, Costs, and Trust
A lot of this week's AI story is really one question: what happens when the chatbot stops being a tool and starts acting like a coworker? Because the moment that shift happens, the hard part isn't the demo. It's permissions, memory, supervision, cost, and whether anyone should trust it unsupervised. AI agents become teammates Memory is useful and invasive Reliability is a systems problem Token economics are now strategy Benchmarks, open weights, and geopolitics Governance, takeoff, and biosecurity Trust, labor, and the physical world Sources: Hard Fork — Zuckerberg’s Anti-Doom Fantasy + Finally an A.I. Detector That Works + A.I. Math "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis — Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses The AI Daily Brief: Artificial Intelligence News and Analysis — Grok 4.6 Shows How Fast Your AI Options Are Expanding The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) — Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773 The AI Daily Brief: Artificial Intelligence News and Analysis — Grok Bot Finally Makes AI Agents Easy Lex Fridman Podcast — #500 – Khabib Nurmagomedov: Dagestan, MMA, UFC, Islam, Conor, Fedor & Football Latent Space: The AI Engineer Podcast — The BioAI Phase Shift - Matthew McPartlon & Neil Patil, Chai Discovery The AI Daily Brief: Artificial Intelligence News and Analysis — AI Optimism Has a Trust Problem Dwarkesh Podcast — Ryan Greenblatt – What happens once AI can automate AI research? Machine Learning Street Talk (MLST) — AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart 3 more sources This podcast was created with Podkey. Make your own at https://podkey.fm

