this post was submitted on 23 Mar 2025
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The biggest problem with AI is that it’s the brut force solution to complex problems.
Instead of trying to figure out what’s the most power efficient algorithm to do artificial analysis, they just threw more data and power at it.
Besides the fact of how often it’s wrong, by definition, it won’t ever be as accurate nor efficient as doing actual thinking.
It’s the solution you come up with the last day before the project is due cause you know it will technically pass and you’ll get a C.
It's moronic. Currently, decision makers don't really understand what to do with AI and how it will realistically evolve in the coming 10-20 years. So it's getting pushed even into environments with 0-error policies, leading to horrible results and any time savings are completely annihilated by the ensuing error corrections and general troubleshooting. But maybe the latter will just gradually be dropped and customers will be told to just "deal with it," in the true spirit of enshittification.