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Survey shows most people wouldn't pay extra for AI-enhanced hardware | 84% of people said no (www.techspot.com)

submitted 5 months ago by ForgottenFlux to c/technology

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Companies are going all-in on artificial intelligence right now, investing millions or even billions into the area while slapping the AI initialism on their products, even when doing so seems strange and pointless.

Heavy investment and increasingly powerful hardware tend to mean more expensive products. To discover if people would be willing to pay extra for hardware with AI capabilities, the question was asked on the TechPowerUp forums.

The results show that over 22,000 people, a massive 84% of the overall vote, said no, they would not pay more. More than 2,200 participants said they didn't know, while just under 2,000 voters said yes.

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[–] EliteDragonX 25 points 5 months ago (12 children)

This is yet another dent in the “exponential growth AGI by 2028” argument i see popping up a lot. Despite what the likes of Kurzweil, Musk, etc would have you believe, AI is severely overhyped and will take decades to fully materialise.

You have to understand that most of what you read about is mainly if not all hype. AI, self driving cars, LLM’s, job automation, robots, etc are buzzwords that the media loves to talk about to generate clicks. But the reality is that all of this stuff is extremely hyped up, with not much substance behind it.

It’s no wonder that the vast majority of people hate AI. You only have to look at self driving cars being unable to handle fog and rain after decades of research, or dumb LLM’s (still dumb after all this time) to see why. The only real things that have progressed quickly since the 80s are cell phones, computers, etc. Electric cars, self driving cars, stem cells, AI, etc etc have all not progressed nearly as rapidly. And even the electronics stuff is slowing down soon due to the end of Moore’s Law.

[–] [email protected] 17 points 5 months ago* (last edited 5 months ago) (8 children)

There is more to AI than self driving cars and LLMs.

For example, I work at a company that trained a deep learning model to count potatoes in a field. The computer can count so much faster than we can, it’s incredible. There are many useful, but not so glamorous, applications for this sort of technology.

I think it’s more that we will slowly piece together bits of useful AI while the hyped areas that can’t deliver will die out.

[–] EliteDragonX 4 points 5 months ago

That’s nice and all, but that’s nowhere close to a real intelligence. That’s just an algorithm that has “learned” what a potato is.

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