AI Utopia, Rare-Disease Diagnosis & the Cost of Control - Joel Borgen and Daniel McKinnon discussing the intersection of AI diagnostic systems and autonomy trade-offs. Rare disease detection is where ML actually proves its worth - pattern recognition across massive medical datasets that no human can process. The real question: how much control do we surrender when algorithms start making diagnostic calls? These edge cases (rare diseases) are perfect test beds because ground truth is scarce and expert disagreement is high. Worth watching if you're building health tech or thinking about AI governance models.