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Machine Learning Street Talk (MLST) cover image

#99 - CARLA CREMER & IGOR KRAWCZUK - X-Risk, Governance, Effective Altruism

Machine Learning Street Talk (MLST)

NOTE

What Do You Think Are the Most Dangerous Steps in AI?

There's a notion of like, there's an exponential and an exponential goes, it's an exponential forever until it hits the physical bottleneck. If you scale so far, you're even scaling further than the fastest future supercomputers, then you hit the bottleneck of computer on the x-axis. So what do you think the bottlenecks will be in the world that we live in? We're talking about extrapolating timelines at Valk AI, JACO, Trist stuff. For video, computer's going to be the bottleneck at least until the 2040s. And then at that point, it's going to switch to data being the bottleneck.

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