this post was submitted on 22 Dec 2024
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[–] [email protected] 73 points 1 day ago* (last edited 1 day ago) (21 children)

There is this seeming need to discredit AI from some people that goes overboard. Some friends and family who have never really used LLMs outside of Google search feel compelled to tell me how bad it is.

But generative AIs are really good at tasks I wouldn't have imagined a computer doing just a few year ago. Even if they plateaued in place where they are right now it would lead to major shakeups in humanity's current workflow. It's not just hype.

The part that is over hyped is companies trying to jump the gun and wholesale replace workers with unproven AI substitutes. And of course the companies who try to shove AI where it doesn't really fit, like AI enabled fridges and toasters.

[–] [email protected] 10 points 17 hours ago* (last edited 17 hours ago)

Goldman Sachs, quote from the article:

“AI technology is exceptionally expensive, and to justify those costs, the technology must be able to solve complex problems, which it isn’t designed to do.”

Generative AI can indeed do impressive things from a technical standpoint, but not enough revenue has been generated so far to offset the enormous costs. Like for other technologies, It might just take time (remember how many billions Amazon burned before turning into a cash-generating machine? And Uber has also just started turning some profit) + a great deal of enshittification once more people and companies are dependent. Or it might just be a bubble.

As humans we're not great at predicting these things including of course me. My personal prediction? A few companies will make money, especially the ones that start selling AI as a service at increasingly high costs, many others will fail and both AI enthusiasts and detractors will claim they were right all along.

[–] [email protected] 2 points 17 hours ago

Like what outcome?

I have seen gains on cell detection, but it's "just" a bit better.

[–] [email protected] 70 points 1 day ago (3 children)

The part that is over hyped is companies trying to jump the gun and wholesale replace workers with unproven AI substitutes. And of course the companies who try to shove AI where it doesn't really fit, like AI enabled fridges and toasters.

This is literally the hype. This is the hype that is dying and needs to die. Because generative AI is a tool with fairly specific uses. But it is being marketed by literally everyone who has it as General AI that can "DO ALL THE THINGS!" which it's not and never will be.

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[–] [email protected] 17 points 1 day ago

This is easy to say about the output of AIs.... if you don't check their work.

Alas, checking for accuracy these days seems to be considered old fogey stuff.

[–] [email protected] 39 points 1 day ago (32 children)

Even if they plateaued in place where they are right now it would lead to major shakeups in humanity's current workflow

Like which one? Because it's now 2 years we have chatGPT and already quite a lot of (good?) models. Which shakeup do you think is happening or going to happen?

[–] [email protected] 1 points 13 hours ago (1 children)

I don’t know anything about the online news business but it certainly appears to have changed. Most of it is dreck, either way, and those organizations are not a positive contributor to society, but they are there, it is a business, and it has changed society

[–] [email protected] 2 points 12 hours ago

I don't see the change. Sure, there are spam websites with AI content that were not there before, but is this news business at all? All major publishers and newspapers don't (seem to) use AI as far as I can tell.

Also I would argue this is no much of a change except maybe in simplicity to generate fluff. All of this existed already for 20 years now, and it's a byproduct of the online advertisement business (that for sure was a major change in society!). AI pieces are just yet another way to generate content in the hope of getting views.

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[–] [email protected] 21 points 1 day ago (24 children)

Computers have always been good at pattern recognition. This isn't new. LLM are not a type of actual AI. They are programs capable of recognizing patterns and Loosely reproducing them in semi randomized ways. The reason these so-called generative AI Solutions have trouble generating the right number of fingers. Is not only because they have no idea how many fingers a person is supposed to have. They have no idea what a finger is.

The same goes for code completion. They will just generate something that fills the pattern they're told to look for. It doesn't matter if it's right or wrong. Because they have no concept of what is right or wrong Beyond fitting the pattern. Not to mention that we've had code completion software for over a decade at this point. Llms do it less efficiently and less reliably. The only upside of them is that sometimes they can recognize and suggest a pattern that those programming the other coding helpers might have missed. Outside of that. Such as generating act like whole blocks of code or even entire programs. You can't even get an llm to reliably spit out a hello world program.

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