Spell checking should be a default feature in IDEs. I've seen teammates struggle to find the source of a bug, only to find a spelling error in a variable or configuration setting. I'm not the greatest touch typist, and my IDE catches double letters, missing letters, reversed letters and other mistakes all the time.
I remember an old demo that would play a loop of the chorus of I Say a Little Prayer through the PC speaker. It was hard to believe that the speaker could be pushed to such limits.
"a disgruntled populace just wants it all to go away."
The same thing happened in Brazil. Back to back Olympics and World Cup, billions spent on single-purpose, once-used infrastructure, while the economy was in shambles. No one but the government wanted any of it - okay, maybe the World Cup, but definitely not the Olympics.
#1 is the usual definition of perfect pitch, and is the most useful. I have heard #2 and #3 referred to as "pitch memory".
There is also a rare #0, which is the ability to identify pitches that are out of tune by a small number of cents. This is the least useful type of perfect pitch, and can render people unable to truly enjoy music. I know a musician who is like that. To him, everyone in the band is out of tune all the time.
Another possibility is that companies try to guess your email address. I recently got an email thanking me for buying a lawnmower that I never bought. The buyer's mailing address was in the email, so I sent him a letter. He replied saying he's "old school", and doesn't have an email account. He has no idea how the manufacturer got my email address, as he had left the email address field blank when filling out the warranty form. The only explanation I can come up with is that they just guessed it based on first and last name.
I don’t exactly agree with the initial comment, but an accessibility audit would find a few blunders (like mint green text on a white background, which is very difficult to read)
> The first AI universe sim is fast and accurate—and its creators don't know how it works
This is why Stephen Hawking was very vocal against machine learning. Everything we know today came from a long process of study and documentation. Machine learning can give you accurate predictions, but its contribution to the scientific process is questionable. Just like mathematical “proofs” by brute force are interesting, but don’t add much to our understanding of the underlying problem.