foolswisdom

For some types of applications, Jev is also useful as a stepping stone, you use it for the cases it's most confident so you already get gains from using it, and then collect all the usage to train your specialized model.

Probably not, the network towers are the ones being used to triangulate I think.

Apple isn't the most dominant business on earth, so maybe they can't do anything in violation of antitrust?

Not how it works. You define a relevant market, and the market of iPhone users (which a stable market, there are barriers to just switching to android tomorrow) can be used for evaluation.

I was sure I had read of this year's ago on Wikipedia as the stable marriage problem (originally heard of it in a podcast), but a couple days ago I saw the wiki page said stable matching problem...

Maybe in "Iberia" instead of Spain?

A 180 might be more useful :)

When it's happened to me, I shrugged and went back to the way I did things before. Then again, I'm not a vocal social media user by any means.

Seems this one might have been deprecated a while ago.

As a thought experiment, there's a big difference between "3 companies share 70% of a market, while 30 companies sharing the remaining 30%", and "30 companies share the whole market, none being larger than 8%".

In the former example, there's far more pressure on the smaller companies, which is why in such a regime people expect more consistent quality from the big guys, and the smaller guys are often boutique in some way (=offering something unique in their service/product in order to be able to compete). Small guys have a hard time standing up to big guys.

On the other hand, in a regime where no one becomes that huge, like the latter example, there's still pressure, but the competition is fair, just like if all the companies were similarly big (except that you can't have that many big companies in a single industry, by proportion definitions).

Realizing this drove home why inconsistent antitrust enforcement appears to produce bad results. Because it leaves us in the state of the former example. It's also unfortunately the intermediate state of getting serious with antitrust enforcement.

You're talking about different measures / types of quality.

> Anyone who thinks AI is good with writing code that is hard to write for the operator, not due to lack of basic software engineering know how but complexity of the domain, either has access to models beyond what is available to the public or is completely lost.

They're arguing that most usage of resources would be by companies, who are presumably paying.