The history of natural science is this co-evolution of instruments that give us access to an invisible world and theories about their patterns. So where does this bring us back to David? We're interested in understanding complex systems and the underlying principles that sit behind them. And I think what's happened is that these neural networks are like telescopes of complex reality. They encode in their baroque mechanism that we haven't yet understood the patterns that exist in the complex data sets.
In our last episode we talked all about intelligence, specifically about what made us intelligent. In this episode we jump into artificial intelligence, and we're joined again by David Krakauer, President and William H. Miller Professor of Complex Systems at the Santa Fe Institute.
This episode was recorded before the release of GPT-4, so David doesn't mention it specifically, but he does take us through the history of artificial intelligence, from Alan Turing, all the way to machine learning and neural networks. And he's going to ask the question: Are we really building something that's intelligent, or are we just building mimics and parrots?
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