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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
Arvind Narayanan
These models are already trained on essentially all of the data that companies can get their hands on. So while data is becoming a bottleneck, I think more compute still helps, but maybe not as much as it used to. And the reason for that is that perhaps ironically, more compute allows one to build smaller models with the same capability level.
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