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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

1014.658 - 1033.693 Arvind Narayanan

And so there, even with Moore's law, I think cost is going to be significant in the medium term. And then you get to applications like writing code, where what we're seeing is that it's actually very beneficial to let the model do the same task tens of times, thousands of times, sometimes literally millions of times and pick the best answer.

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