Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]
Machine Learning Street Talk
The podcast explores the relationship between neuroscience and philosophy of mind, particularly focusing on the role of abstraction and idealization in scientific models of the brain. Mazviita Chirimuuta, author of "The Brain Abstracted," discusses how scientists simplify complex systems to create legible theories, drawing parallels between abstraction in physics and the reflex theory in neuroscience as examples of oversimplification. Chirimuuta introduces the concept of "haptic realism," emphasizing that knowledge is acquired through interaction and engagement rather than passive observation, and she critiques the notion of a final theory in biology due to the inherent complexity and shifting quality of biological phenomena. The conversation also covers the implications of technology on human finitude, touching on Heidegger's views and the potential ethical concerns arising from increased mediation through the internet, especially concerning child development and social interaction.
Part 1: Philosophy, Modeling, and Abstraction
Part 2: Historical Frameworks and Scientific Limits
Part 3: The Machine Metaphor and Biological Reality
Part 4: Computation, Intentionality, and AI Understanding
Part 5: Technology, Finitude, and Materiality
Part 6: Ethics, Attention, and Social Impact
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