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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
We are horribly inefficient at learning today. If you think about what drives efficiency of learning, it's the algorithms and it's the hardware itself. We've got probably decades, if not hundreds of years of improvements still left there and different forms of it over time. If we look very practically in the coming years, we are going to see increasing advantages on the hardware.
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