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Survey shows most people wouldn't pay extra for AI-enhanced hardware | 84% of people said no

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.

OhmsLawn ,

I honestly have no Idea what AI does to a processor, and would therefore not pay extra for the badge.

If it provided a significant speed improvement or something, then yeah, sure. Nobody has really communicated to me what the benefit is. It all seems like hand waving.

originalucifer ,
@originalucifer@moist.catsweat.com avatar

what they mean is that they are putting in dedicated processors or other hardware just to run an LLM . it doesnt speed up anything other than the faux-AI tool they are implementing.

LLMs require a ton of math that is better suited to video processors than the general purpose cpu on most machines.

tal ,
@tal@lemmy.today avatar

I honestly have no Idea what AI does to a processor

Parallel processing capability. CPUs historically worked with mostly-non-massively-parallelizable tasks; maybe you’d use a GPU if you wanted that.

I mean, that’s not necessarily “AI” as such, but LLMs are a neat application that uses them.

On-CPU video acceleration does parallel processing too.

Software’s going to have to parallelize if it wants to get much by way of performance improvements, anyway. We haven’t been seeing rapid exponential growth in serial computation speed since the early 2000s. But we can get more parallel compute capacity.

Fedizen ,

30% of people will believe literally anything. 16% means even half of the deranged people aren’t interested.

ipkpjersi ,

Interested or not, more hardware is going to be “AI-enhanced” and believe it or not, it’s going to cost more.

This is our future.

peopleproblems ,

AI in Movies: “The only Logical solution, is the complete control/eradication of humanity.”

AI in Real Life: “Dave, I see you only have beer, soda, and cheese in your fridge. I am concerned for your health. I can write you a reminder to purchase better food choices.” Dave: “THESE AI ARE EVIL, I WILL NEVER SUBMIT TO YOUR POWER!”

JDPoZ ,
@JDPoZ@lemmy.world avatar

AI in Real Life: “Dave, I see you only have beer, soda, and cheese in your fridge. I am concerned for your health. I can write you a reminder to purchase better food choices.” Dave: “THESE AI ARE EVIL, I WILL NEVER SUBMIT TO YOUR POWER!” More like :

“Dave, I see you have beer, soda, and cheese in your fridge. Have you thought about ordering PRIME energy drink? There’s a sale.”

No.

“36 count case of PRIME energy drink ordered!”

I said no.

“changed PRIME energy drink 36 count case shipping to next-day air for $150.79!”

GODDAMNIT!

peopleproblems ,

Yeah this is probably more likely. It’s just so depressing

Zorque ,

Please drink verification can.

Zatore ,

Most people won’t pay for it because a lot of AI stuff is done cloud side. Even stuff that could be done locally is done in the cloud a lot. If that wasn’t possible, probably more people would wand the hardware. It makes more sense for corporations to invest in hardware.

helenslunch ,
@helenslunch@feddit.nl avatar

a lot of AI stuff is done cloud side.

If it’s done in the cloud then there’s no need for them to buy “AI-accelerated hardware”

independantiste ,
@independantiste@sh.itjust.works avatar

Personally I would choose a processor with AI capabilities over a processor without, but I would not pay more for it

magiccupcake ,

Most people have pretty decent ai hardware already in the form of a gpu.

Sure dedicated hardware might be more efficient for mobile devices, but that’s already done better in the cloud.

Nomecks ,

It’s not really done better in the cloud if you can push the compute out to the device. When you can leverage edge hardware you save bandwidth fees and a ton of cloud costs. It’s faster in the cloud because you can leverage a cluster with economies of scale, but any AI company would prefer the end-user to pay for that compute instead, if they can service requests adequately.

PriorityMotif ,
@PriorityMotif@lemmy.world avatar

Google coral TPU has been around for years and it’s cheap. Works well for object detection.

docs.frigate.video

There’s a lot of use cases in manufacturing where you can do automated inspection of parts as they go by on a conveyor, or have a robot arm pick and place parts/boxes/pallets etc.

Those types of systems have been around for decades, but they can always be improved.

_haha_oh_wow_ ,
@_haha_oh_wow_@sh.itjust.works avatar

“enhanced”

FiniteBanjo ,

People already aren’t paying for them, nVidia’s main source of income is industry use and not consumer parts, right now.

ClamDrinker ,

Depends on what kind of AI enhancement. If it’s just more things nobody needs and solves no problem, it’s a no brainer. But for computer graphics for example, DLSS is a feature people do appreciate, because it makes sense to apply AI there. Who doesn’t want faster and perhaps better graphics by using AI rather than brute forcing it, which also saves on electricity costs.

But that isn’t the kind of things most people on a survey would even think of since the benefit is readily apparent and doesn’t even need to be explicitly sold as “AI”. They’re most likely thinking of the kind of products where the manufacturer put an “AI powered” sticker on it because their stakeholders told them it would increase their sales, or it allowed them to overstate the value of a product.

Of course people are going to reject white collar scams if they think that’s what “AI enhanced” means. If legitimate use cases with clear advantages are produced, it will speak for itself and I don’t think people would be opposed. But obviously, there are a lot more companies that want to ride the AI wave than there are legitimate uses cases, so there will be quite some snake oil being sold.

metaStatic ,

this goes to show just how far the current grift has gone.

AI enhanced hardware? Jesus Fuck take all my money that's amazing.

Dedicated LLM chatbot hardware? Die in a fire for even suggesting this is AI.

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