I'd Rather Be Writing Podcast

This is a recording of our AI Book Club discussion of I Am Not a Robot: My Year Using AI to Do (Almost) Everything by Joanna Stern, held September 20, 2026. The group gave the book its lowest ratings yet, and much of the discussion is about why: so many of the experiences come across as superficial stunts with AI, rather than true engagement. In our discussion, some found the medical chapter to be the book's strongest section. Other topics: the question of whether you should fix a system before amplifying it, chatbots that give you the candid career advice...

In this podcast, co-host Fabrizio Ferri-Benedetti and I chat with Ethan Palm, a technical writer and knowledge engineer at Mintlify, about what happens when nearly half your documentation traffic comes from AI agents. We discuss Mintlify's platform data on agent versus human traffic, hidden directories for agent-only content, the uncertain future of llms.txt, automated doc maintenance workflows where writing accounts for at most ten percent of the job, and the social atrophy that comes from reaching for a terminal prompt instead of a coworker.

This is a recording of our AI Book Club discussion of The MANIAC by Benjamin Labatut, held August 16, 2026. This was the club's first work of fiction, and much of the discussion is about what that mode makes possible: getting inside the madness of scientists like John von Neumann in a way a biography can't. We talk about the book's opening scene as a thesis in miniature, logic carried to irrational ends, the 'death of play' in the AlphaGo match against Lee Sedol, Move 78 as a case for human unpredictability, the garage door scene as a metaphor for...

In this podcast, co-host Fabrizio Ferri-Benedetti and I chat with Sarah Deaton, a technical writer at Anthropic who works on the Claude Code docs, about what documentation work looks like when much of it is automated. We discuss orchestrating docs through skills and agents rather than writing them, mining AI assistant conversations for doc gaps, running forensics on every false claim that reaches the docs, new metrics like time-to-correction and steers per PR, the fences that keep AI-generated docs honest, and how she closed more than a hundred pull requests in a single day.

This is a recording of the AI Book Club discussion of Sebastian Mallaby's The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence. In the discussion, we talk about the complex character of Demis Hassabis (and comparisons to Ender's game), the idea of founders' personal morality acting as a final safeguard, and the relentless acceleration of AI development. We also talk about the historical rivalries between deep learning and reinforcement learning, the growing urgency around AI-driven job displacement, and what it means to train AI to automate our own work.