You seem to be neglecting the economic impact question and assuming only the ai companies themselves are impacted in a burst.

Notably these are not the norm in English, but they do illustrate the pattern.

That may not be the AI of sci fi fantasy but it’s still a game changing reality.

Which way you say it shifts the framing. And it’s not that one is less accurate to the facts, necessarily. It just is that one less aptly captures the moral and political relevance of the scenario.

For my part, I think it makes good sense to anthropomorphize in some contexts and not others. Generally when responsibility is at issue, you probably want the framing that tunes anthropomorphism down to near zero, since it’s the human dimension you care about.

Not saying the article is right, but the point is supposed to be that social norms used to (or should) be sufficient. People should feel and be made to feel shame for flagrant disrespect of core principles that their participation in a system would seem to entail (like playing to win).

Speaking for myself, shame has certainly sometimes been enabling, sometimes disabling. Wanting to live up to an image I have of myself and what I should be (and feeling ashamed when I don’t) is a pretty core part of how “I” work. I agree shame can certainly turn toxic, but there are times when it is fair to say, “you should feel ashamed of yourself” (including in some circumstances, “for driving that kid to suicide by making him feel ashamed of who he is”).

I’m not saying you can’t be intelligent in a world of LLMs but people who use the calculator analogy underscore the fact that the LLM isn’t just eliminating the drudgery of one subdomain of mechanical problem solving — every problem is one an LLM can provide and answer for, including what you should learn, what problems you should solve, what your next conversation with the LLM should be about. So they do pose at least a threat of people truly offloading indefinite amounts of their own critical thinking to models, and there’s also danger that such people will in general still be competent enough often enough (due to LLM competence) that they are hard to screen out of key decision making roles or even from highly profitable roles.

If anything, it sounds like (you think that) they need to be more thoughtful and not just throw every new technology and technique at the kids and see if it works.

I’m not trying to nitpick, but slow down, think, and measure before acting seems like clearer advice. Really what you are fighting is assuming that new technology is useful and just trying out various ad hoc ways to discover how to realize that usefulness.