The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
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
And just from the perspective of cost, you don't have to dedicate servers to run that model. So I think those are a lot of the reasons why companies are furiously working on making models smaller without a big hit in capability.
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