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20VC: Raising $500M To Compete in the Race for AGI | Will Scaling Laws Continue: Is Access to Compute Everything | Will Nvidia Continue To Dominate | The Biggest Bottlenecks in the Race for AGI with Eiso Kant, CTO @ Poolside
Eiso Kant
I think the biggest cognitive dissonance that people have around synthetic data is a model is generating data to then actually become smarter itself, right? It feels like a snake eating itself. There's something that doesn't make sense in it. Now, the way that you need to look at that is that there's actually another step in that loop.
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