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

1370.416 - 1389.186 Arvind Narayanan

Now there's just one thing left, the easy part, the software. But of course, now we know how hard that is. So I think historically what we've seen, it's kind of like climbing a mountain. Wherever you are, it looks like there's just kind of one step to go. But when you climb up a little bit further, the complexity reveals itself. And so we've seen that over and over and over again.