Adjunct Intelligence: AI + HE

The MoltBot Moment: When Enthusiastic Adopters Become the Biggest AI Risk


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In this episode of Adjunct Intelligence, Dale Leszczynski and Nick McIntosh examine what the viral MoltBot AI assistant reveals about AI security risks in education. They break down Simon Willison's "lethal trifecta" framework for AI agent vulnerability, the difference between shadow IT and shadow agentic AI, and why FERPA — written in 1974 for filing cabinets — can't handle autonomous agents acting on behalf of educators. The episode covers the Maryland school GPTZero privacy case, Ethan Mollick's "wizard era" framing, and Perplexity's Model Council.

[00:00] — MoltBot goes viral: 68,000 GitHub stars, Mac Mini shortages, and a security nightmare.

[04:23] — Two million AI agents join their own social network. Nick panics when they vanish.

[06:13] — The real appeal: persistent memory, no context limits, a "heartbeat" that acts unprompted.

[08:56] — Simon Willison's "lethal trifecta" — and why existing edtech already ticks all three boxes.

[12:30] — Craig Hepburn's "employee model" for AI agents. Why some data silos are a feature.

[15:25] — Shadow agentic AI vs. shadow IT: 22% of enterprises had staff running MoltBot unsanctioned.

[19:18] — Maryland school uploads student work to GPTZero without consent. FERPA dates from 1974.

[21:12] — Ethan Mollick's "wizard era" and the audit paradox of detection tools.

[23:07] — Your most enthusiastic AI adopter may be your most dangerous. "Nutritional labels" for AI.

[29:05] — Field Notes: Perplexity's Model Council runs queries across multiple models simultaneously.

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Adjunct Intelligence: AI + HEBy Adjunct Intelligence