this post was submitted on 18 Jul 2024
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806
Survey shows most people wouldn't pay extra for AI-enhanced hardware | 84% of people said no (www.techspot.com)
submitted 3 months ago by [email protected] to c/[email protected]
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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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[–] [email protected] 11 points 3 months ago (1 children)

Back in the 90s in college I took a Technology course, which discussed how technology has historically developed, why some things are adopted and other seemingly good ideas don't make it.

One of the things that is required for a technology to succeed is public acceptance. That is why AI is doomed.

[–] [email protected] 4 points 3 months ago (1 children)

AI is not doomed, LLMs or consumer AI products, might be

In industries AI is and will be used (though probably not LLMs, still, except in a few niche use cases)

[–] [email protected] 6 points 3 months ago

Yeah, I mean the AI being shoveled at us by techbros. Actual ML stuff is currently and will continue to be useful for all sorts on not-sexy but vital research and production tasks. I do task automation for my job and I use things like transcription models and OCR, my company uses smart sorting using rapid image recognition and other really cool uses for computers to do things that humans are bad at. It's things like LLMs that just aren't there - yet. I have seen very early research on AI that is trained to actually understand language and learns by context, it's years away, but eventually we might see AI that really can do what the current AI companies are claiming.