#438 – Elon Musk: Neuralink and the Future of Humanity

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So if you imagine per channel, you have a sliding window that's producing some convolve feature for each of those input sequences for every single channel simultaneously, you can actually get better validation metrics, meaning you're fitting the data better and it's generalizing better in offline data if you use this convolutional architecture. You're reducing parameters. It's sort of a standard...