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After the crash, tech "industry leaders" will struggle to explain why/how they were conned into believing that intelligence was a simple database function with some probability and statistics sprinkled on top.


I remain convinced the whole hype was a way to overfire after the big overhire.


They're still aggressively outsourcing to India, the Philippines, and LATAM under cover of AI to tighten the screws on labor costs. Domestic hiring that drags on is to pull in new employees at current lower market wages that will be sticky for some time.


Eventually, we're going to have to stop living in the shadow of the excess in tech that was 2020-21.

Are we there yet?


No they won't. They won't struggle to explain anything because in US business culture, nobody ever actually takes blame except underlings. Nobody ever even asks them to explain themselves. Even in public companies it seems like questions from shareholders that actually get asked in quarterly calls are vague humble brags. "What are we going to do about the problem of winning so hard" while they had record layoffs the previous quarter.

Those talking heads haven't had to mea culpa for : Hype about Hadoop, hype about blockchain, hype about no code, hype about the previous AI bubble, hype about "agile", hype about whatever JS script is popular this week, etc.


We don't have to look far for examples. Meta dropped VR in favor of AI without much explanation. All they need is just start talking about the next shiny thing.


The internet didn't go away after the dotcom crash in early 2k, so the AI *IF* such crash happens.

There're a lot of business discovering its benefits now, companies will continue building things over it.


this is just wrong

you could say "it's just matrix multiplication"; but then quantum mechanics (and thus chemistry, biology, and everything on top of that) is just linear algebra


But who's to say humans are any different than simple databases with probability and statistics firing neurons??

/s


> But who's to say humans are any different than simple databases with probability and statistics firing neurons??

Nobody has said they're simple databases, they would obviously be complex databases.


Some of them are very much like this. They think *intelligence* is a measure of your ability to regurgitate data that you have been fed. A genius is someone who wins on Jeopardy.

In engineering school, it was easy to spot the professors who taught this way. I avoided them like the plague.




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