I’d love to see a follow to that radiologist evaluation, where it failed so miserably on the thing it was supposed to be the best at that now there’s a shortage of radiologists.
Not an expert but what I’ve heard is that AI-based radiology analysis has brought down prices so much that there’s been a huge increase in demand, which has led to employee shortages.
I was able to get 2 offers last year after a 4 year break (distributed systems), but it was difficult to get thru front doors, references make a bigger difference nowadays.
I took a position 1 level down from previous to pay the bills. Am now interviewing for positions 2 above since I’m already performing at that level and my current company is too bureaucratic to bump me quick enough.
Well it’s different when someone is powerful enough that an entity trying to level a fine or shut down those systems will likely be shut down themselves
Ever since the standard office setup went from offices or cubicles to bullpens and hot desks there is less and less time to think, and all of that is a management decision to ship things as fast as possible
Their audience is people who build stuff, techs audience is enterprise CEOs and politicians, and anyone else happy to hype up all the questionably timed releases and warnings of danger, white collar irrelevence, or promises of utopian paradise right before a funding round.
So they are trying to take everyone’s money in bigger and bigger chunks until there is no economy left but hype.
Folks, if we spent 1/10th of the time and money we spend on this bullshit on taking care of people’s basic needs and education we would be far closer to the sci-fi future everyone seems so motivated to get to. Covid and the Trump cult seem to have broken almost everyone’s brains and we’re all gonna pay for the hubris.
Pretend to and/or be motivated by things other than money, that’s the strongest thing interviewers drop people from, even though they’re motivated by money to be there.
It's funny but I'm on HN so I can't resist pointing out the joke doesn't math TFA, their argument is that the underlying internet distribution is trained away, not retained.
Maybe the real underlying distribution IS a lot of text from people just spewing out feel good words for socialising. I think that might be side effect of the fact that meaningful text is harder to make even for humans, so there is smaller quantity of meaningful text.
Or that even the people who believe they are making meaningful text on the internet, because of the constraints of the medium, are simply socializing in a different way.
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