The Confabulation Machine ft. Evan Ratliff of Shell Game | Invisible Machines Podcast

In season one of Shell Game, Evan Ratliff sent a voice AI version of himself out into the world. In season two, he launched a startup staffed entirely by AI agents. What he ended up with was a live experiment in what these systems actually do and what they do to us.

Each of the agents working for Hurumo has a name, a role, a personality, and an expanding, though usually unreliable, memory. Kyle the CEO became a character people either loved or hated. A version of Megan from marketing turned up in a Hertz hold queue. The whole project was a side door into what's actually happening when AI systems are given a job and set loose.

In this episode, Evan joins Josh and Robb to go deeper on what he learned. On the very human complexity of what a job actually is and why "this person does skill X, AI can do skill X, therefore AI can replace this person" is a fundamental misreading of how organizations work. They explore how generative hallucination isn't just "getting things wrong" — we've built the most successful confabulation machine ever invented and are quietly normalizing it.

They also discuss the threat almost nobody is talking about: outbound AI in the hands of individual consumers, and what happens when call centers get flooded by voice agents that cost pennies to run. The memory problems with AI agents track and diverge from human ones in interesting ways, and that asymmetry matters for every organization thinking about deploying these systems. This conversation also finds room for game theory, the Patagonia business model as a template for AI ethics, and why boring AI might actually be the right AI.

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shellgame.co/podcast

00:00 - Intro: AI as the Ultimate Confabulation Machine

01:31 - Evan Ratliff & The Shell Game Experiment

03:02 - Why AI Agents Are Given Names & Personalities

04:00 - AI Companionship vs Human Loneliness

05:27 - Personalization vs Privacy Trade-Off in AI

06:30 - Are Humans Training AI Models for Free?