Scott Aaronson takes Lex through computational complexity, why consciousness may not be computable, and why P probably does not equal NP.

Scott Aaronson — Theoretical computer scientist, professor at UT Austin and director of its Quantum Information Center (formerly MIT), known for work in quantum computing and computational complexity.
In his second appearance on the podcast, Scott Aaronson explores big questions at the intersection of computation, physics, and mind. He discusses whether the universe is a simulation or computable, critiques Giulio Tononi's Integrated Information Theory and Roger Penrose's Godel-based views of consciousness, and assesses the Turing test, ELIZA, Eugene Goostman, and GPT-3. He then gives an accessible tour of complexity theory, including P, NP, PSPACE, BQP, and his beloved class SZK, and explains why most experts bet P does not equal NP. The conversation closes with reflections on the pandemic, institutional failure, cancel culture, and love.