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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
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I want to kind of unpack that kind of one by one. If we start, I mentioned the algos, I mentioned the data, I mentioned the compute. You said about kind of algos and how it approves model efficiency. Is there a limit to how efficient models can and will get? And does that kind of plateau at some point?
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