"Whereas before, average was expensive in terms of both time and effort, average became cheap."

I might not agree with the point, but I can see that idea that many things just need to be "good enough" (which we might define as "average") and we save our real expertise for the things that really matter.

I feel like I can think of lots of situations where society puts in to protect children rather than leaving it to the parents (age ratings on films and games, YouTube Kids, regulations around advertising to children, the whole concept of school, reduced speed limits around playgrounds to give a few examples off the cuff).

Why is beauty a productivity-enhancing attribute for males in non-quantitative subjects? Generally, it is difficult to disentangle the reasons behind why beauty improves productivity (Hamermesh and Parker, 2005). However, relative to other students, attractive men are more successful in peer influence, and are more persistent, a personality trait positively linked to academic outcomes (Dion and Stein, 1978, Alan et al., 2019). In addition, attractive individuals are more socially skilled, have more open social networks, and are more popular vis-à-vis physically unattractive peers (Feingold, 1992). Importantly, possession of these traits is significantly linked to creativity (Soda et al., 2021). In our setting, the tasks faced by students in non-quantitative subjects, for instance in marketing and supply chain management, are likely to be seen as more ”creative”, and significantly contrast the more traditional book-reading and problem-solving in mathematics and physics courses, the latter presumably perceived as more monotonous. Together with the large use of group assignments in non-quantitative courses, these theoretical results imply that socially skilled individuals are likely to have a comparative advantage in non-quantitative subjects.

"Kovid has stated numerous times that any patches which work towards python3 compatibility without hurting python2 functionality or performance would be happily accepted. Oddly enough, no one has ever taken him up on that, though a number of people have insisted it is very important that he himself do that work."

"Those who got the stipend were less likely to be unsheltered after six months and able to meet more of their basic needs than a control group that got no money, and half as likely as the control group to have an episode of being unsheltered."

So, it seems like it helped get most people back on their feet and into a place where they can live independently without financial support.

But with ChatGPT we're not saying disregard what it says, we're saying only disregard some of what it says and don't disregard what it says in future. Which becomes a lot of work to check everything it says every time.

"I've essentially got 15-20 high-priced world-class consultants in every field that I chose to pull from"

And then here said:

"It's an endlessly enthusiastic savant intern - frequently wrong in hilarious ways"

And those feel very different to me.

The second one feels more similar to my experience This is what I spot with ChatGPT (and advocates of it): in the abstract, it is a genius, but whenever we look at a specific example, it's not like that at all.

//Returns the user's full name return user.email;

"He heard footsteps running to and fro in the rooms, and up and down stairs behind him. His landlady came to the door, loosely wrapped in dressing gown and shawl; her husband followed ejaculating."