57 karma · joined January 12, 2023
* let's say you have n distinct rules acting against a set S, the complexity is n.
p.s. probably something trivial exists such that you can take n as large as we wish to, so probably my definitions are not interesting.
sometimes it is not a matter of "is it better? is it larger? is it more efficient?", but just a question.
mountains are mountains, men are men.
Some examples:
* Environment: air quality in most places has continued to improve (and considering the growing evidence on the harms of air pollution, this may well be the single most important item on this whole page), forest area has increased, and more rivers are safe to fish in - yeah except that are only statistics related to USA, not to mention the Detroit area water pollution thing that it is still going on. Or all the PFAS related drama happening recently.
* LASIK surgery has gone from an expensive questionable novelty to a cheap, routine, safe cosmetic surgery - yeah, almost cheap, safe sure, but none of the people I met actually says they'll do it again (sample N=5), for various reasons. Some: they did have to take glasses again after a few years, colors were less vivid, eyes were less hydrated.
* Food, it is nice that fast food aren't shitty anymore, but there are still plenty of contaminations happening (not only in USA but all-over the world). Moreover, the food is becoming worse because of the lack of microsubstances (and soil degradation) as well as the increase in CO2. Agriculture output is damped by climate change.
also, in case you didn't know sweden doesn't have a huge amount of sun (especially in winter), wind is more affordable but you can't rely on a unique energy source.
The only difference is that with CAT you have theorems asserting what's true and what's not, with classes I don't think there's much literature. A similar reasoning can be applied to neural networks as there are very different POV: someone will look at them as ODE systems, other as a pure discrete dynamical system or as an optimization problem or whatnot.
Sun Tzu.
How do you think you can devise a vaccine if you don't know the virus? They experiment to find out what are the weaknesses of the enemy (i.e. proteins and other markers), so that they can target it. If the next pandemy is caused by a similar strain: ta-dam you have the vaccine already (or at least you know what to target).
See also https://pastebin.com/tKLSWjSt, which is a collection of Pompei graffiti.
moreover, apple's software is generally very buggy.