Biological AI, Mortal Computation, Anthrobots & AGI | Alexander Ororbia

Alexander Ororbia is a computer scientist and neuroscientist. AI today is built upon silicon-based computers, but what would artificial intelligence look like if it were based on biological materials and principles? In this podcast, expect to learn how biological intelligence differs from silicon-based intelligence, the concept of "mortal computers" (computers that die), how cognition extends beyond neurons, examples of mortal computers such as anthrobots and xenobots, and more... 00:00 Biological vs Silicon; Mortal vs Immortal 05:06 Mortal Computers vs Standard Computers 09:52 The Importance of Death in Intelligence 18:23 Embodiment and Inactivism in Biological Intelligence 26:16 Limits of Current AI 36:35 Benefits of Mortal Computers Over Standard AI 39:50 Mortal Compter Examples: Anthrobots and Xenobots 45:50 How Good are ChatGPT and LLMs? Efficiency of Mortal Computers 50:50 Will LLMs Ever Get to AGI? Find Alexander's work: -Mortal Computation paper: https://arxiv.org/abs/2311.09589 -Survey on brain-inspired learning: https://arxiv.org/abs/2312.09257 -Review of neuroscience machine learning: https://arxiv.org/abs/2403.18929 -Survey on predictive coding / biomimetic learning: https://arxiv.org/abs/2308.07870