Technology

59402 readers

3076 users here now

This is a most excellent place for technology news and articles.

Our Rules

Follow the lemmy.world rules.
Only tech related content.
Be excellent to each another!
Mod approved content bots can post up to 10 articles per day.
Threads asking for personal tech support may be deleted.
Politics threads may be removed.
No memes allowed as posts, OK to post as comments.
Only approved bots from the list below, to ask if your bot can be added please contact us.
Check for duplicates before posting, duplicates may be removed

Approved Bots

founded 1 year ago

MODERATORS

806

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

submitted 4 months ago by ForgottenFlux@lemmy.world to c/technology@lemmy.world

164 comments fedilink hide all child comments

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.

you are viewing a single comment's thread
view the rest of the comments

[–] nadram@lemmy.world 4 points 4 months ago (1 children)

I might be wrong but those do not make use of AI do they? It's just programming for some repetitive tasks.

[–] captainlezbian@lemmy.world 4 points 4 months ago

They use machine learning these days in the nice kind, but I misinterpreted you. I interpreted you as saying that robots were an example of hype like AI is, not that using AI in robots is hype. The ML in robots is stuff like computer vision to sort defects, detect expected variations, and other similar tasks. It’s definitely far more advanced than back in the day, but it’s still not what people think.