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
But when you put that video through a speech recognizer and actually extract the text tokens out of it and deduplicate it and so forth, it's actually not that much. It's an order of magnitude smaller than than what some of the largest models today have already been trained with.
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