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5/ the level of pattern matching than robust semantic understanding. But we’re making progress in addressing some of these, and the field is still progressing pretty fast. You can apply deep learning to mathematics, to understanding proteins,
6/ there are so many things you can do with it." Yes. Exactly. It's a tool. The vast majority of us using it aren't parading it around calling it one step from AGI. We know better esp after dealing with it the realities of daily trial/error/nudging of hyperparameters, etc.
7/ Those who are overselling deep learning seem to be those who write books/articles that need views, or do PR, or are trying to sell snake oil. Yes that's bad. But creating drama out of thin air is just a waste of time and emotion (lots of Twitter fights over this lately!).
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