My computer science curriculum covered calculus - perhaps not as rigorously as the mathematical sciences, but enough for it to be "working" knowledge (personally, I've forgotten 90% of it since graduation).
Plus, I am sure a computer science teacher should be at least familiar with these topics, or be capable of picking them up.
Maybe some kind of bot detection is done in the background, and humans are able to pass the check easily when they click on the button. Crawlers, on the other hand, would have a harder time getting through.
I guess this is to prevent others from reposting their content easily.
An easy way for employers to verify that your certifications are authentic.
Tangentially, a lot of scientists do research on topics that do not see application in everyday life immediately.
I can't think of any examples off the top of my head, but I remember reading articles on how some research bear fruit - ones with huge impacts - only decades later.
To stop research into a topic because there is no practical application now is short-sighted IMO.
If I block those with frequent trash takes, I won't get to downvote them next time. Other reasonable people would then see their future posts with higher scores.
Those that I find the most useful are those that I (and likely many others) tend to take for granted.
For example, fuzzy logic may very well be used in electronics that involve temperature control - fridge, aircon, rice cooker, water heater - under the hood.
Another one is CSP (constraint-satisfaction problems) solvers which tend to be used in scheduling softwares. A possible use case is public transportation.
There are probably lots more AIs working behind the scenes that benefit everyone, but don't get the coverage because they are just boring tech now. People may not even consider them AI!
I appreciate these AI for making my life so convenient.
Unless you have plenty of time and knowledge - in which case you might as well be a daytrader or join a hedge fund or HFT - you are likely better off taking the easy way out by buying index ETFs.
what is the difference between current AI and the human brain?
My understanding is that: the fields of neuroscience and psychology are not developed enough (at this point in time) for anyone to provide a definitive answer to this question.
Anyone who claims otherwise would probably have to make assumptions, and may be talking out of their ass.
Easy solution: wired mouse