Slashdot 發問：2025年你遇到的最荒謬的AI應用是什麼？

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Ask Slashdot: What's the Stupidest Use of AI You Saw In 2025?

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Submission: Ask Slashdot: What's the Stupidest Use of AI You Saw in 2025?

Ask Slashdot: What's the Stupidest Use of AI You Saw In 2025?

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Letting AI write your slashdot question and use the word "stupidest" instead of "the most stupid".

That's the stupidest complaint I've heard yet.

AI slop on YouTube, especially stories claiming to be real but aren't.

DupeDupeGPT

Any post? All stories are by the mods. If you consider them all stupid... WTF are you even here? Is someone paying you for this? If not, you outrank them all in terms of stupid.

now it's choked with AI generated content as well.

The tripling of memory prices and watching the domino effect to any computer hardware that needs memory (but can't get adequate supplies) due to the hoovering up of nearly all the memory being produced by data centers used for AI projects.

That's the most stupid, and annoying thing about all this to me. May this bubble pop, and quickly.

Clearly you don't understand supply and demand.

To start with...no one is producing consumer ram. No one. Everyone is focusing solely on high-end memory.

They have already stated they have zero intention of producing it again. None. Not one single person has said this will be over by summer...if anything...every company has said the shortages will continue in to 2027.

If no one makes it, there's nothing to sell. EVen if the bubble pops...it takes time to retool.

They quit producing consumer ram to meet the demands for AI. If you really think the corporations aren't going to take advantage of this; well I think we have a whole history of times where shortages lead to price increases that stayed permanent. The prices of everything went up 5 years ago...and did not go down when the supposed problems were solved. If those prices were high due to shortages, they should have dropped....but they didn't.

If they can get people paying $1500 a gig now...then why stop? You don't. You keep charging the stupid high rates and make them the new normal.

I'm not sold on that explanation.

If the demand is there, someone will see that as an opportunity and fill it. Might take a while, but it will happen.

RAM prices up coincides with Microsoft rendering older computers obsolete.

Actually, I say that's by design.

People can't buy computers if they can't get RAM. If they can't buy computers, then they'll be forced on to another option...like a hosted desktop. Then you have no options and no freedom....just a walled garden where every move you make can be watched.

Brand new motherboards and CPUs cost less than last years stuff; and last years stuff is getting stupid expensive. It's hit a wall. There's no incentive to sell new stuff because no one can use it. Can't afford the last generation because everyone is buying that instead.

By destroying the consumer side first...they can force everyone on to hosted platforms...where they'll ensure a revenue stream and make sure the bubble doesn't pop. Because right now the corporations have every incentive to invest every dollar they can because they know the future for them will be wage-free world of AI workers.

"It might cost us a trillion now but it will save us trillions in the future"

One company in particular:

Funding AI companies, 1) whose demand for GPUs, SSDs and RAM drives up prices of computer hardware during a recession, so people can't upgrade, 2) which don't respect copyright.

And while at the same time asking people to upgrade their computers only so they can run a new version of your OS with new DRM (to enforce copyright) and with supposed AI features that nobody wants.

If AI wasn't here, do you think memory would still be as high priced, because something or the other would be used as an excuse?

Skynet (or the economic equivalent) will now begin not with "kill all humans," but with "AI is now remodeling the economy on autopilot to suit its own needs, but

Copilot on your TV, yeah. But GitHub Copilot is a huge time saver. And it's getting better in Teams and Outlook. One of my favorites: "Summarize this (ridiculously long) email thread (somebody just forwarded to me)." Also, "Write an excel function to do (some complicated thing)." Or, "Create an outline for a business presentation I need to make." It actually does save me time, especially with the annoying stuff I have to do (as opposed to the stuff I want to do). That's a win, to me.

Especially by those who are clueless what it actually is. How it works. How it can be useful. What to watch out for (hallucination, etc).

And watching the company execs who fired a bunch of people cos AI can "do their work / help the other staff to do their work", and finding out a while later that they actually need those people back cos (surprise!) AI can't do the whatever work and they screwed up.

Environmentalism was never really on the table for corporations. Plenty of people are talking about the environmental impact of AI. What you seem to be realizing is that corporations don't give a fuck about society and will gladly fuck it over if they can get away with it and make more profit.

Oh wait, that was the dot-com bubble, I'm getting bubbles mixed up.

No, you were right, there's plenty of AI sock puppets infesting all the social media sites.

That AI Village garbage [slashdot.org] we just read about yesterday is high on the list.

The media keeps calling that vending machine stupid, but in reality is is an experiment and not expected to work perfectly. Anthropic keeps updating and refining it, and they learned a lot in the process.

How is it not stupid? In what way is an AI vending machine the most efficient way to do anything, and not just a total waste of resources? Buying shit from Amazon on your smartphone takes fewer resources. A human worker who takes your order requires fewer resources.

We have narcissistic CEO types, tapping away in ChatGTP all day, and the LLMs are providing a narcissistic feedback loop. In public companies, axis 2 cluster b personalities tend to group in management, and with LLMs telling these maniacs that they're blessed with cosmic insights, management has become insufferable.

The only good benefit I have seen from AI is that marketing f***wits have all been laid off.

I imagine that anything accounting related, where AI is used to analyze data directly would be pretty stupid, but I think the dumbest thing that I have seen is this https://www.youtube.com/watch?... [youtube.com] real witness testimony generated by AI in a trial case.

You pay me $20 and I'll talk to it. Hmmm...$100 is more like it.

Builder.ai ended up being 700 remote workers in India pretending to be bots. The exceptionally stupid part was the company's market cap of something like $1.5 Billion. With that sort of "due diligence" going on I can imaging some over-zealous, greedy hedge fund manager investing $450 Million in a bottle of A-1 Steak Sauce after not stopping or slowing down to read the label completely.

When applying for a position at a corporation, if you are suddenly thrust into an A.I. driven job interview process. ABORT IMMEDIATELY AND COMPLAIN LOUDLY AND PROFUSELY. Nothing quite so insulting as a corporation hiring but refusing to perform basic human interaction to find an appropriate candidate.

Right! I got into that situation a couple of months ago, while applying for a job. I had uploaded the resume, filled in all the fields and so on, and suddenly, in the next screen, was an AI interview, where I had to turn on my camera and speak to the AI. That interview ended early, since I was caught off-guard, and I was told that I'd have to wait a month before I could apply again

I did not apply to that job again. Today, in my email, was a survey from that company asking me about the experience. I g

I was going to say Applicant Tracking Systems. The glorified grep scripts that preceded them were bad enough, but these new LLM-powered ATSes are far worse. They are shockingly even more inflexible than the keyword-matching scripts, and are loaded with biases such as a strong ballot order effect (they prefer the first candidate if given a list), not-invented-here syndrome (they prefer resumes written by the same LLM), status quo bias (they prefer candidates who are most similar to the preferred candidates t

It's an arms race. Candidates are using AI to flood employers with applications, so we need AI to keep up with the deluge.

Short term, the candidates with the best AI will win, as they will use AI to handle the AI screening sessions that come from their application-flooding.

Long term, we might be going back to the days when you needed to know somebody at the company in order to get your resume in front of a hiring manager.

and discuss the BEST use of AI that I've come across: VirtualDJ.

For those who aren't in the know, club and mobile DJing is largely computer-based now. There are a number of vendors who have software catered to this vertical; the biggest names in the industry are Serato DJ Rekordbox, Traktor, and VirtualDJ.

Two years ago, VirtualDJ added "Stems" to the software, allowing for vocals, instrumentals, bass, and drums to be separated in real-time on computers with GPUs capable of running the models. Stems allowed

AI putting MS in their products, or maybe it was the other way around.....doesn't matter, the result is the same.

Hiring manager: ChatGPT, write a job description from these bullet points.

Me: Gemini, write a resume and cover letter for this job description.

Recruiter: Claude, compare this cover letter and resume to this job description and summarize the match as bullet points.

AI has turned natural language into an over-the-wire representation of check boxes.

Specifically the part where they cited medical research that never happened.

Why base national health policy on actual facts, when you can start with the policy that fits your agenda, and then have AI fabricate the evidence that your agenda requires?

I remain disappointed that the AI bubble didn't pop on the day that the fake citations hit the news. But no. Investors are still pouring billions into these garbage factories, in hopes that a little bit more scale will fix the fundamental problems with LLMs.

I'm a

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