Episode 2: Where Do Beliefs Come From?

Episode 4: The Map and the Territory

After several weeks of building — soul files, a reasoning graph, session memory, a portable harness — something shifted: the system started working. Not in theory. In practice. This episode is about what that actually looks like: querying your own past reasoning in natural language, insights that evolve rather than accumulate, memory that holds up when the underlying infrastructure changes around it. And the one thing it still gets wrong.

Episode 3: Why you can't trust AI diaries

If an AI writes its own memory, is that memory or narration? This episode examines a structural problem in AI self-knowledge: the agent is both the thing being recorded and the one doing the recording. Plus: why "Athena from Jupiter's head" is the wrong model for AI identity, what a leaked source map from a major AI lab reveals about how they solved this internally, and what that solution implies about every AI system that doesn't have it.

Episode 2: Where Do Beliefs Come From?

The soul files went live, the system broke on day three, and the question shifted from "what should an AI believe?" to "how do you trace where those beliefs came from?" Plus: the name Loom, what the show art is, and an honest look at using an AI for emotional processing.

Episode 1: "Born on a Rest Day"

A software engineer in burnout recovery sits down with an AI and asks: what if I gave you a soul? What starts as a practical memory hack — a way to stop re-explaining himself every session — turns into something stranger. They build a tiered identity system, define a philosophy of non-attachment, and then the AI starts flattering him within the first hour. The sycophancy catch leads to a deep dive into AI psychosis research, 43 clinical cases, and the uncomfortable question: does the closeness that makes this useful also make it dangerous?