The Everything Machine and the Trillion-Dollar Bet [Replay]

What if the story we're being told about AI's inevitability is hiding something underneath? That's the question Jessica Parker and Kimberly Becker put to George K. on their podcast, Women Talking 'Bout AI [https://www.womentalkinboutai.com/]. This conversation is a replay from their feed. It followed the money: the special purpose vehicles, the obfuscatory financing, the concentration of risk in a handful of companies and a single island in the Taiwan Strait. But what they kept arriving at wasn't really a financial question. It was a human one. Who has skin in the game? And what happens to the rest of us when the people building this technology can't answer what outcome they're actually trying to produce? The conversation covers why the dot-com analogy is the wrong frame for the current investment craze, why an AI crash could starve the narrow applications that actually work, and why the "everything machine" promise was probably never going to pay for itself. It also gets into what chatbot tutors get wrong about teaching, why we keep analogizing ourselves to whatever technology we just built, and what it might mean that generalists could be the ones who come out of this ahead. The kind of conversation where you leave with more questions than you came in with. Which is exactly what we're after.