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 for these things to actually be deployed, you have to roll it out on slightly larger and larger scales while you collect data, while you make sure you get to the next nine of reliability, four nines of reliability to five nines of reliability. So it's that very slow rollout process. It's a very slow feedback loop.
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