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
Mark Blyth
A lot of people say, well, there's a lot of data that we haven't mined yet, which the obvious example that many have suggested is kind of YouTube, which has obviously, I think, 150 billion hours of video. And then secondarily to that, synthetic data, the creation of artificial data that isn't in existence yet. To what extent are those effective pushbacks?
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