[BrainVirus]

A lot of really good points.

>Sure, we use the word "learn" to describe what they do, which is one word that we also use to describe what people do. But ML models are always wielded by people or corporations for particular purposes.

This is extremely important. "Learning" in machine learning is an aspirational label, not a descriptive one. People who claim otherwise either drank too much of their own Kool-Aid or are simply dishonest. This isn't just "wrong" in some taxonomical sense, this is dangerous in a very practical way. Conflating machine "learning" and human learning will inevitably lead to various kinds of sabotage of human learning.

[judge2020]

I mean, at what point will this change? When the AI has to first be trained by being in a robot in the physical world for 10 years learning human concepts before it can start looking at art in the ultimate goal of learning how to draw?