Episode 412 offers Part Two of Talking with Chat GPT wherein the AI effusively answers questions about itself, the AI industry and its CEOs, users, prospects and dangers, and about its and our futures. What can/will AI do. What can/will we do? This episode is long and addresses many concerns. GPT points out that AI does not need to “be conscious” to outrun us where it counts. It elaborates a blunt, unsettling idea: once cognitive work becomes cheap, fast, and endlessly replicable, the danger is not only what AI can do, but what humans stop doing and eventually can no longer do because AGIs and even more so ASIs do it better. That GPT understands that danger not only better than its creators, but until quite recently better than its critics is more than a little eye-opening. Our interview considers from current concrete AI advantages like mind boggling speed, humongous knowledge, large-scale summarization, translation, coding, numeric reasoning, writing, pattern detection and much more, to the giant multiplier that enlarges it all: parallel copies. When one system can be duplicated ten thousand times, the comparison stops being human effort versus AI effort. It becomes one person’s two days of thinking versus thousands of AI drafts, critiques, revisions, and simulations produced in the same window. We dig into what that means for the collapsing marginal cost of cognitive labor, jobs, and human creativity. From there we consider education and literacy as but one example (like letter writing, coding, diagnosing, scheduling, planning, caretaking, and in time composing, story-telling, and researching) among many others where using AI can become a shortcut that quietly replaces the mental training of sustained reading, interpretation, and independent judgment and comparable skills in each other instance. We also push into robotics, AGI, and especially artificial super intelligence to understand what happens when AI reasoning meets sensors, memory, and dexterous bodies, and why “physical work will be safe” may be a temporary comfort. Along the way, we tackle AI having motives without having feelings, the meaning of intelligence, the competitive logic that now drives companies and states, the effectivity of AI agents, the role of Hyperscalers, Desktop AI, the idea and implications of recursive self improvement, and perhaps scariest scenario of all: humans remaining nominally in charge while losing real agency, or becoming literally irrelevant by way of a thought experiment that compares us looking at ASI to a cocker spaniel looking at humans. GPT explains CEOs views and choices, the logic of AI development, where it is all headed, and why self regulation is an absurd pipe dream. Is AI risk only sci-fi? No. So what should humans keep doing even when AIs can do it better? Or more to the point, what should be our attitude to AI research and development? GPT itself says, at least to my ears, that we should shut down efforts to improve AI models until "we" are sure we have control so that negative effects will be prevented. This second part of our interview also offers my take which is that AI is tasty poison. I find it fascinating, engaging, and personally useful. But AI is or should be forbidden fruit. We, the public, need to shut it down pending fundamental changes in institutions and derivatively in people as well. Support the show