Distillation, or, How to Steal a Model
This week we’re covering model distillation: the technique of using a large "teacher" model's outputs to train a smaller, cheaper "student" model that mimics it. They cover the two big reasons labs do...
27 Jul 0s
Invisible LLM Failures and AI Fluency with Chris Potts (Stanford)
What happens when a Stanford linguistics professor turns his attention to AI chatbots — and the surprisingly invisible ways humans misunderstand them? Chris Potts joins the show to unpack the hidden f...
20 Jul 41min
Still summer break: back next week
Still summer break: back next week by Katie Malone
13 Jul 25s
Summer break: back soon
Summer break: back soon by Katie Malone
6 Jul 36s
Interviewing the Linear Digressions Agents (The Agents Season, Episode 11)
After a five-year hiatus, the podcast that burned out partly over the tedium of writing episode descriptions is back — and using AI agents to handle exactly that task. The season-11 finale turns the l...
28 Jun 37min
Agent Economics (The Agents Season, Episode 10)
What if building more highways made your commute *slower*? That's the paradox at the heart of AI agent economics: even as per-token inference costs have plummeted dramatically over the past two years,...
22 Jun 24min
Agent Trust, Oversight and Control (The Agents Season, Episode 9)
Capabilities get all the attention when it comes to AI agents — but what happens when a highly capable agent makes a bad decision in the real world? Trust, oversight, and control are the unglamorous b...
15 Jun 25min
Many Agents, Many Problems (The Agents Season, Episode 8)
Whether you work best solo or thrive in a team, you know collaboration is complicated — and it turns out AI agents face the same tensions. This episode dives into multi-agent systems, exploring how ne...
8 Jun 28min
