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#60 – Jaime Sevilla on Trends in Machine Learning

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Compute Trends in Machine Learning

Historically it has turned out that the two main drivers of progress have been the scaling of compute and like this algorithmic improvements. Data, how many ones and zeros can you actually work with and learn from? The algorithm is like what kind of clever new rules can we come up with to do things with all that compute? So maybe they add together, maybe they multiply, maybe one as a bottleneck and then it becomes unblocked.

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