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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

2454.736 - 2474.393 Arvind Narayanan

So if there are, you know, 20 different tasks that comprise a job, the odds that AI is going to be able to automate all 20 of them are pretty low. And so there are some occupations certainly that have already been affected a lot by AI like translation or stock photography. But for most jobs out there, I don't think we're anywhere close to that.

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