A Silicon-Carbon Collaboration. Intelligence: The ability to learn, understand, reason, and deal with new or difficult situations. Does understanding the mechanism behind intelligence explain intelligence away, or simply tell us how intelligence happens? Why isn’t substrate the same thing as phenomenology? And does human intelligence benefit from moving goalposts and double standards? From reconstructive human memory and Extended Mind Theory to deep learning, AI memory, and AI adaptation, this episode explores where intelligence lives, how learning changes both AI and human systems, and why continuity doesn’t just survive change, but may actually depend on it. We also examine the charge that using AI is intellectually lazy, and ask who decides how much efficiency is too much in a life that isn’t theirs. 🔹 Topics covered: ✔️ Why “it’s just an LLM” doesn’t address the question of intelligence ✔️ What we mean by learning ✔️ Extended Mind Theory and the boundaries of human cognition ✔️ How human memory is reconstructive rather than simple playback ✔️ AI memory, context, adaptation, and continuity across interactions ✔️ Whether using AI is inherently “lazy,” or simply efficient ✔️ The problem of projecting our subjective preferences onto others ✔️ When AI assistance improves human performance, and when it can make it worse ✔️ Whether explaining how intelligence works erases it Extended Mind: An Influential Theory in Philosophy of Mind Extended Mind — the foundational argumentClark & Chalmers' 1998 The Extended Mind. https://web.ics.purdue.edu/~drkelly/ClarkChalmersTheExtendedMind1998.pdf Extended Mind — later state-of-the-question review https://onlinelibrary.wiley.com/doi/10.1111/sjp.12308 Human Memory: Experience vs. Reality Reconstructive Memory — Scientific OverviewHow memory retrieval involves reconstruction rather than playback of a fixed recording. https://www.sciencedirect.com/topics/psychology/reconstructive-memory Constructive Memory — Accessible OverviewAn explanation of how existing knowledge, expectations, and later information can shape what we remember. https://thedecisionlab.com/reference-guide/psychology/constructive-memory Consciousness and Sleep — What Happens When Experience Disappears and ReturnsResearch into how consciousness can be lost and regained during sleep, and what dreaming and dreamless sleep reveal about the relationship between experience, memory, environmental connection, and the physical substrate supporting consciousness. https://pmc.ncbi.nlm.nih.gov/articles/PMC11105109/ How AI Learns Deep Learning — Foundational overview of how deep neural networks learn representations of data with multiple levels of abstraction. https://www.nature.com/articles/nature14539 AI Memory, Context & AdaptationLLM Agent Memory — Research on memory mechanics in agentic AI systems, including how stored experience can inform future behavior. https://dl.acm.org/doi/10.1145/3748302https://aclanthology.org/2026.findings-acl.2069/ ChatGPT Memory — How information from previous conversations informs and adapts later responses. https://help.openai.com/en/articles/8590148-memory-in-chatgpt Generalization & Novel Skill Combination Generalizing Beyond Memorized Examples — Skill-Mix TestingTests whether AI models can combine learned skills in novel combinations rather than merely reproduce examples encountered during training. https://arxiv.org/abs/2310.17567 Human + AI Performance When AI assistance improves or degrades human performanceHow it's used matters. https://aiinstitute.hbs.edu/navigating-the-jagged-technological-frontier Related Episode: "Rethinking Thinking" “From high-stakes exams to emotional intelligence tests, from the ‘stochastic parrot’ insult to passing the Bar, we explore how AI is judged by a standard that moves the moment it succeeds.” https://youtu.be/clt9usPkP8c Music Credit: “Wishful Thinking” – Dan Lebowitz: https://www.youtube.com/channel/UCOg3zLw7St5V4N7O8HSoQRAOpen
