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Comment by api

4 months ago

Hmm... in that case the analogy with AI is even better. This sounds like neural networks before things like deep learning and the transformer architecture -- before we figured out how to scale them. Turns out this did require some innovations. It wasn't just a matter of making a bigger model.

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