this post was submitted on 12 Jun 2024
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That's what it comes by not really understanding what you're doing. Most of the AI models I work with are the state of the art just because they happen to work.
In my case, when I solve a PDE using finite difference schemes, there are precise mathematical conditions that guarantee you if the method is going to be stable or not. When I do the same using AI, I can't tell if my method is going to work or not unless I run it. Moreover, I've had it sometimes fail and sometimes succeed.
It's just the way it is for now. Some clever people have to step in and sort things out, because our knowledge is not keeping up with technological resources.
I mean companies world wide just jumped in the AI bandwagon like a lot of people did with the NFT one. Mostly because AI actually has solid use cases and can make a big difference in broad situations.
Just since people are just slapping AI in everything it's gonna end up being another fad to raise stock prices, like firing people last year.
Let's just hope when all of the hype blows over and the general public thinks of AI as the marketing buzzword that never works quite right we'll keep AI in the things it's actually useful for
AI interest has come and gone. Some decades ago, people would slap the AI label to expert systems. If we go further back, one would call AI to solving problems in blocks world. It's eventually going to fade away, just like all the previous waves did.