20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

961.124 - 981.908 Arvind Narayanan

So there's this interesting concept called Jevons Paradox. And this was first in the context of coal in England in the 18th century. I think when coal mining got cheaper, there was more demand for coal. And so the amount invested into coal mining actually increased. And I predict that we're going to see the same thing with models. When models get cheaper, they're put into a lot more things.