I totally agree with this. I like the term "criti-hype". To me, the NYT interview with Hinton seems so obviously calculated for this kind of effect. What is muc

I totally agree with this. I like the term "criti-hype". To me, the NYT interview with Hinton seems so obviously calculated for this kind of effect. What is much more worrisome to me than any of the supposed abilities of recent ML models is the fact that the average person just... doesn't seem to pick up on this kind of thing. Although, I wouldn't personally say that it's "lying", "bullshitting", or anything else. That's just more anthropomorphization. It's "wrong" or "incorrect". A mathematical model, a clock, a map: these can all be "wrong" or "incorrect". You might say they were lying to you, but it would be for comedic effect. In this case, there are (again!) enough people who lack the ability to make the technical distinction that I think it's important we avoid any kind of anthropomorphization of any ML model to avoid confusion.