Misunderstanding of deep learning/machine learning that irritates you the most

New technologies, if they are known to the public at all, are afflicted with deep misunderstandings about how they work, their current state of development, and their (realistic) potential. I was wondering, with respect to deep learning, what members of this subreddit have found most annoying in misunderstandings. It could be either portrayals you've seen in the media or misunderstandings you've encountered with friends/family.

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