Two point six TRILLION dollar valuation drop for "AI" companies. All because these people refuse to reckon with what their systems are actually good at, and what they are absolutely no good for, and keep trying to shove it into every damn thing, regardless.
https://nymag.com/intelligencer/article/wall-streets-usd2-trillion-ai-reckoning.html
https://nymag.com/intelligencer/article/wall-streets-usd2-trillion-ai-reckoning.html
Comments
More fool me.
Like the stench of NFT hype, I kept wondering if I was missing something. Nope.
The author is doing that journalist who has been kicked in the head by a horse as a child thing again.
https://medium.com/@iwanmorus/the-i-at-the-heart-of-the-ai-storm-70b6ce58208e
But the greedy tech bros just want to use it to replace jobs & art instead of being able to help workers.
So fuck them.
https://bsky.app/profile/wolvendamien.bsky.social/post/3kywypcu6c72l
After laying off THOUSANDS AND THOUSANDS of hard working people to be replaced by TECHNOLOGY THAT DOESNT WORK.
I will believe that when they announce a solution for the Model Autophagy Disorder problem, or a source for new, uncontaminated training data.
Down they will go, but not fast enough.
That will tend to happen with unregulated capitalism, that is true, but it’s not fundamentally necessary.
The continuous growth requirement OTOH is much more fundamental.
But it’s starting to slow down.
It’s worse because it suggests there are no working bullshit detectors in Silicon Valley boards or C-suites.
Maybe they need a highly-compensated skeptic per team.
https://bsky.app/profile/adjectivalnoun.bsky.social/post/3kyqn5omrxw2d
What he fails to emphasize is the missing other half of the equation, which is effectiveness.
Everyone knows this tech is expensive. The problem is that it’s both expensive and not good for most of its proposed applications.
I keep being reminded how much of the dot-com bubble was people hyping up otherwise uninteresting ideas by slapping "INTERNET!" onto everything.
Reminds me of this