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

1157.507 - 1181.135 Arvind Narayanan

Sure. I think we are still in a period where, you know, these models have not yet quite become commoditized. There's obviously a lot of progress and there's a lot of demand on hardware as well. Hardware cycles are also improving rapidly. But, you know, there's the saying that every exponential is a sigmoid in disguise. So a sigmoid curve is one that looks like an exponential at the beginning.