
Steve and Leon close Season 1 by looking back across all fifty-two episodes. They start with what surprised them (how fast conservative institutions adopted, and how slowly AI literacy is moving), then work through five conclusions a year of guests kept reaching independently: the models are no longer the hard part, almost nobody monitors these systems after deployment, an interface built for a novice can degrade an expert, "compared to what" is the question everyone skips, and money is usually the real gate. They also notice the show has started talking to itself, with guests answering each other across dozens of episodes. Several questions are left open on purpose and handed to Season 2.
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S2E3 - Randi Seigel & Jared Augenstein: Healthcare AI Law

S2E2 - Greg Raiz: Data-Driven Early-Stage Investing

S2E1 - Raihan Faroqui, MD: The Doctor at the Front Desk, AI on the Line

S1, E51 - Reflections #7: When the Machine Is Almost Always Right, Who Is Still Thinking?
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