this post was submitted on 08 Sep 2026
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it's getting to the point where I notice people say it a lot, especially IRL now for whatever reason recently.

And for clarity I'm not in research or anything, so these people just mean 'LLM/image gen', not utilities like OCR or (usually not) transcription.

Some have argued it's just more efficient (which I can kind of get), while others think you're actively hindering your intelligence somehow.

On the first point:

I've tried it occasionally to see how it compares to my own skill, and while it produces a functional result, it's always very derivative work to the point where you can find things with the exact same names of other 'public' (but not libre) works, and often isn't the ideal solution to what it targets. So I can see how you can get things out of it, but it never felt really that profound to me.

But for the second... isn't this supposed to be the tool for people to do things they aren't experienced in? If anything, you probably need to be able to understand how to write pertaining to the task so the token probabilities are biased toward writing from that area.

And even then, if all you end up doing is prompting AI, then wouldn't you ultimately serve no purpose outside of being glorified QA?

I guess I'm trying to figure out what exactly non-users would be 'falling behind' in that affects them more than those who use AI?

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[–] stoy@lemmy.zip 116 points 2 weeks ago (48 children)

AI is the first major technology that I have have actively worked against.

I am a person who strongly believe that technology should make us better, and I can only see AI/LLMs making us weaker.

I tend to have a vivid imagination, and all I am thinking of when seeing people use AI is, "ok but could you have accomplished the same thing without AI?"

When the AI bubble pops like the overstuffed bubble it is, and prices are going up, will you remember how to do your job without it?

Or, even simpler, what about if the AI service goes down, will you still be able to do your tasks?

For many, I suspect the answer is no.

[–] Salvo@aussie.zone 43 points 2 weeks ago (1 children)

I see it with ADAS.

It appears that the more Advanced Driver Assistance Systems a vehicle has, the less competent the driver is and the more likely it is that they will not react correctly (or at all) in an emergency situation.

ANCAP and ENCAP are realising this now and their ratings are no longer weighted so heavily on ADAS.

[–] stoy@lemmy.zip 32 points 2 weeks ago

Yeah, this has been a long problem in government agencies here.

There was a political decision made years and years ago, that in-house expertise was too expensive and that they would hire consultants when they needed specific skills.

That works only as long as you have the in-house skills to determine what external skills are needed.

Same here, without the skills to do the work, you don't have the skills to correctly evaluate the work of an LLM.

[–] Iconoclast@feddit.uk 14 points 2 weeks ago (2 children)

I tend to have a vivid imagination, and all I am thinking of when seeing people use AI is, “ok but could you have accomplished the same thing without AI?”

Sure. Protein structure is the clean example. For decades the same thing was done without AI: crystallise the protein, collect diffraction or NMR data, solve the fold. That works. It also costs years and a specialist lab per structure. AlphaFold did not invent a new kind of knowledge. It made the existing problem cheap enough that we now have predicted structures for hundreds of millions of proteins instead of a few hundred thousand experimentally solved ones.

“Could you have done it without AI?” is the wrong test. The test is whether the extra cost of doing it the old way is worth paying every time. Sometimes it is. Often it is not.

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[–] lemmyng@piefed.ca 70 points 2 weeks ago (1 children)

The people who espouse such nonsense as "if you don't use AI you'll fall behind" believe that using AI will become an absolute necessity in the future, and that those who use AI now will have more expertise in using AI than those who don't, giving them better prospects. Those same people end up saying "you're just not prompting it right" when you point out flaws in the LLM's responses.

[–] MirrorGiraffe@piefed.social 48 points 2 weeks ago (1 children)

Prompting is obviously a skill that you can improve, but if you compare it with the skills they are trying to replace it's a very basic skill. Going through a computer science program and a few years of work experience vs figuring out what prompts it tends to fuck up and learn to safe guard against that (as much as you can) are different leagues, different sports, different everything.

It's like saying that if you don't start using lemmy now, you'll fall behind when the year off the fediverse is upon us, when you'll just pick it up as well if need be.

[–] one_old_coder@piefed.social 35 points 2 weeks ago (2 children)

Prompting reminds me that most people around me don't know how to use Google. If I want a recipe for an apple pie, I type "apple pie recipe" (3 words). Other people would type "i want to make an apple pie and I need a recipe or something."

And now it's worse with chatbots because they would say "dear ChatGPT, I have been thinking of my grandma and I would loooove to make an apple pie like the one she did, it would mean a lot to me, and also the sun is shining, thanks, kiss, goodbye, have a nice day." It's horribly inefficient and shows that most people cannot use computers properly, and don't understand that they are fast calculators and not magical brains.

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[–] hperrin@lemmy.ca 44 points 2 weeks ago (1 children)

I translate this to: “if I’m making a horrible mistake, I want you right there with me when it blows up in my face.”

If they actually felt it gave them an advantage they wouldn’t be trying to convince everyone else to do it too.

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[–] one_old_coder@piefed.social 35 points 2 weeks ago (1 children)

Yes to everything you said. It's basic FOMO, the same behavior with people who were selling bitcoins.

If it was good, we would use it. And any way, it's like learning how to use Google, it doesn't take weeks to understand how to write a basic sentence. It's a skill that you could acquire in 24 hours at most if you speak English.

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[–] PetteriPano@lemmy.world 32 points 2 weeks ago (5 children)

I'm in software engineering. AI is pretty far along in my field, and also very suited for it. I've spent two decades writing everything from very low-level to high-level code. I enjoy it, but it's just labor at this point. What LLMs allows me to do is move to the role of systems architect. I have an endless supply of tireless jr engineers to execute my designs.

I get quick results. But I'm not as in touch with the codebase as if I had written it myself. You can do things wrong, and you can do things right. I like to compare it with a chainsaw. You get the job done a lot faster than with a regular saw, but you can fuck up a lot harder, too.

The field is moving fast. In the last two years it's gone from helpful auto-complete to finishing projects on its own.

I expect to be downvoted.

[–] kescusay@lemmy.world 31 points 2 weeks ago (3 children)

I'm also in software engineering. I spent some time thinking like you, then some time trying to find a middle ground between using AI like that and doing everything myself.

Now I do it all without AI and am slowly purging all of the rituals around LLM usage from my brain. I'm trying to reclaim that space for useful knowledge in the languages I like to work with.

The reasons are numerous, some ethical, some practical, and some personal.

Ethical:

  • There's no way to use frontier LLMs without contributing to climate change. The products of Anthropic and OpenAI are built on raiding the planet's resources.
  • They're also built on plagiarism on an unprecedented scale. Their products wouldn't exist if it weren't for stealing basically all copyrighted works ever created by people, and would be even less economically viable than they already are if they were forced to pay for the thievery.
  • They're addictive to use. People become dependent on them to the point of losing the ability to make decisions on their own. The non-deterministic nature of their output means people react psychologically to them the way gambling addicts react to roulette wheels, always hoping the next prompt will be the one that hits gold.
  • Small, local models help, and the ones that are both open source and open weight are far superior to the rest in terms of ethics, so for anyone addicted to LLMs, I'll recommend them as a form of methadone. But their psychological impact on their users can be just as damaging.
  • The business practices of these companies is driving the largest economic bubble in history. When (not if) the bubble collapses, it will hurt millions of people. They don't care, because in the short term, number go up.

Practical

  • Model-produced code isn't as good as anyone who's creating it thinks it is. I've lost count of the number of projects I've seen from other developers (who think they've mastered the art of AI wrangling) that contain rudimentary errors - including gaping security flaws. I found the problems just by being the first person in a while to actually look at the code. No, not diffs, because when you're churning out five thousand-line PRs, if the PR "looks right," you'll usually just sign off on it.
  • The Supreme Court has already ruled that the output of LLMs can't be copyrighted. So from a legal perspective, you're risking poisoning your own projects with the output of coding agents. If someone steals that output and markets it as their own, what are you going to do? It was already derived from stolen work itself, so it's not like it's yours.
  • Becoming dependent on businesses that have no path to profitability is a terrible idea. If you have built your workflow around Claude Code and Anthropic folds, what will you do? These companies cannot offer their services in a way that brings them sustainable profit. When the venture capital runs out, the clock starts ticking on their actual viability.

Personal

  • Both of my kids are artists. I want to be able to look them in the eye and tell them I'm not using tools that are designed to make creativity obsolete and replace it with statistically generated pixels.
  • I'm also a writer. I don't want to become dependent on tools that deprived my fellow writers of their copyrights so that slop manufacturers can try to replace them with statistically generated words.
  • I hate the way I feel when I'm using an LLM. The brief highs of getting the output I wanted (more or less) is offset by the impact on the way my brain works. I find myself thinking less and asking the LLM for its "opinions" more. I stop trusting my own judgment. And I start feeling addicted.

On that last point: I knew I had to stop entirely - not just limit my usage or restrict myself to local models - when I realized part of my brain really didn't want me to. I had to have an argument with myself in order to do anything by hand, and I like coding by hand. I enjoy the puzzle-solving. AI was replacing my main source of enjoyment in my job.

And it wasn't even doing that part well, it was just doing it faster. I am a better coder than any LLM, and that's not a brag, because I know there are tons of developers out there better than me. Faster doesn't equal better.

So that's where I'm at today.

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[–] victorz@lemmy.world 18 points 2 weeks ago

I expect to be downvoted.

I mean, you're not wrong. You're only saying facts. I'm a strong AI opponent, but these things you're saying are simply true. 🤷‍♂️ That said, I like coding and doing that bit myself, so I'll keep coding. 😅

[–] palordrolap@fedia.io 13 points 2 weeks ago (5 children)

My concern is that the current models have been trained on current technology by stealing knowledge from the existing pool of senior and junior engineers as well as a whole load of hobbyists.

If everyone moves up to senior now using LLMs, that's all well and good now, but then there'll be no juniors to steal the grunt work from to train AI and no-one to move up to senior in a decade or two.

Do you really think that the hobbyists are going to be enough to steal from to perpetuate the system in the near future?

[–] snooggums@piefed.world 8 points 2 weeks ago* (last edited 2 weeks ago) (2 children)

My concern is that the current models have been trained on current technology by stealing knowledge from the existing pool of senior and junior engineers as well as a whole load of hobbyists.

It also means that when some new technology comes out there won't be a wealth of knowledge for the AI to consume and regurgitate, so the use of new technologies will be hindered if everyone relies on AI trained on current technology.

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[–] aamram@lemmy.dbzer0.com 31 points 2 weeks ago (2 children)

im going to put it easy: You work doing some kind of research or whatever on daily basis. You used to do that task in maybe 5-6 hours, same as your colleagues. Now all your colleagues use AI and do the same task in about 20min (even if the result is crap it does have some good takes), so the CEO sees you are the only one who doesn't perform equally because you choose not to, and you're fired.

So yeah... it's crap, it will make things worse, but for now you have to use it wheter you like it or not.

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[–] magnetosphere@fedia.io 30 points 2 weeks ago

They do it to protect their feelings. They’ve normalized the use of something most people hate, so they want everyone else to adopt it, too. That way, they won’t feel judged, when they 100% deserve to feel judged.

[–] silly_goose@lemmy.today 28 points 2 weeks ago (10 children)

Put simply, it's propaganda by the LLM salesman and liars like scam altman.

Avoid LLMs. Preserve your brain and skills. Don't become a slophead.

The only think you'll fall behind on is humanity's race to the bottom into total idiocracy.

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[–] HazardousBanjo@lemmy.world 25 points 2 weeks ago

Its people falling for propaganda.

The fact of the matter is, AI can be useful for minor coding help. The reality is its stealing advice from one or a few sources and spitting out an answer based on them, but it can be a quick delivery of advice.

The major problem is

  1. AI (these LLMs) hallucinate ALL THE TIME. Relying on them to code for you is fucking moronic. Every coworker I've seen who does vibe coding is constantly getting dunked on, their pull requests are torn to pieces, and its baffling why they still get a paycheck.
  2. AI can only, in the best circumstances, do exactly what you tell it to do. That is to say, you need to explicitly spell out what you want for it, including explicitly covering edge cases. If you don't, you end up with situations like Microsoft making Notepad code executable (which actually fucking happened.

Promotion of AI is total horseshit by the fascist tech broligarchs being done so they can replace the worker and, and I'm serious, achieve immortality by transferring their consciousness to machine. That isn't a fucking joke, that's an actual belief they hold. The AI and general tech CEOs are all in a massive death cult. This is real.

[–] trxxruraxvr@lemmy.world 24 points 2 weeks ago

From what I've experienced it's mostly managers saying this. They're afraid of competitors taking over the market because they can be more efficient with AI. They say this without any idea of how exactly that would work.

[–] db_null@lemmy.dbzer0.com 21 points 2 weeks ago

My experience of a decade in corporate US companies:

Quantity > Quality; no matter what the marketing line says. People who speak a lot in meetings and send a lot of emails are regarded as better at their job, substance is only somewhat relevant. And LLMs are great at producing lots and lots of well sounding slop.

[–] thedeadwalking4242@lemmy.world 19 points 2 weeks ago

They think there's some skill necessary to use LLMs for some reason

[–] Redvenom@retrolemmy.com 19 points 2 weeks ago (7 children)

Remember NFTs? when people were buying pictures of cartoon monkeys and people were saying, if you don't buy it now you will be left behind

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[–] Nefara@lemmy.world 18 points 2 weeks ago

I think when people talk about "falling behind" they're actually talking about missing out on the initial gold rush of novel uses, quick cash grabs, and straight up scams that a lot of people are making short term money on.

[–] HobbitFoot@thelemmy.club 14 points 2 weeks ago

I kind of look at it from the point of view of people who are bad at their jobs.

They don't understand what looks good. They don't understand how long something should take. They don't understand how to do parts of their job without copying the work of others. Then, they get given a tool with the promise that the tool will do most of the hard work for them.

And unlike most computer stuff they can't understand, they can understand how to use AI. So if they can understand how to use AI, anyone can. And it isn't like most people are good at their jobs anyway.

[–] Paddzr@lemmy.world 14 points 2 weeks ago (2 children)

There's a lot clearly unemployed/in industry that doesn't spin around AI in here.

In dev, AI saves fuck tons of time. But there's no nuance on the Internet so everyone assumes I'm advocating for vibe coding. I'm not.

What the "fall behind" is referring to is the simplest fact, if you're in a team and you're not using AI? You are very likely outputting at a much slower speed.

Now more caveats, you're not a lead dev or principle architect, your code isn't second coming of Jesus, you need to get a task done. Like it or not, the pace rest of the team sets? Is the new floor.

I manage a team and while I give them a lot of time to get work done well, the world around us is shrinking in resources. Business cares not that a job takes 4 weeks, they need it done in 2, ideally in 1 week.

Hopefully this sheds some light on this. I'm getting downvoted regardless. I'd probably have more popular opinion praising trump than daring say anything positive about AI here.

[–] terminatortwo@piefed.social 11 points 2 weeks ago

As a manager. This is an illusion. The bottleneck isn’t in writing the code. In fact, what I see over and over is overproduction leads to bottlenecks in the review queues and a complete breakdown in intentionality, planning, collaboration.

You get pressure to do because it’s easy on the surface to show output, but creating a good product is a systems problem that requires coordination and thought.

We’re seeing multiplication in output, not outcome.

If it’s so good, where are all these killer apps? It’s been years!

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[–] Archangel1313@lemmy.ca 12 points 2 weeks ago

It's a desperate marketing strategy based on the classic "peer pressure" technique. "Everyone's doing it. You don't want to be the only one who isn't."

[–] zxqwas@lemmy.world 11 points 2 weeks ago (1 children)

Try throwing AI at boring repetitive work.
I argued with an LLM for about 15 minutes and got a list of IPs and the name of the systems that used them. I could have done it manually in about an hour.

Also I'd argue that it's the opposite. It's for people that are experienced. If you can't check the output for correctness it's most likely wrong. I've never had the right answer the first time I asked.

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[–] ebc@lemmy.ca 11 points 2 weeks ago (1 children)

AI is a tool. Learning to wield it effectively is a skill. What they're saying is that if you don't learn it now, you'll have to learn it later when everyone is an expert and you'll still be a beginner.

IMO it's a bit like computers. I imagine at some point AI-resistant people will be like the "not computer people" that still do everything using paper and faxes.

I know every 2-3 years there's a new hype in tech that eventually fizzes out: Web 2.0, social media, virtual reality, cryptocurrency, etc. All of them were supposed to revolutionize the world, but not all of them actually did. I think AI is a lot more like social media than crypto; it's here to stay. I think the best possible outcome at this point is that the open-source models eventually get good enough and small enough to run on our local hardware, but things sadly don't seem headed that way...

[–] cley_faye@lemmy.world 10 points 2 weeks ago (2 children)

I think AI is a lot more like social media than crypto; it’s here to stay.

Do you think that comparison means that it's a positive thing? Social media did a lot of damage.

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[–] ZILtoid1991@lemmy.world 10 points 2 weeks ago

FOMO, and the temptation of being able to get the speed of AI without the drawbacks of "vibe coding".

Reality is much more nuanced.

You can get a massive boost in your productivity if you use dependencies or just steal code, compared to writing everything from zero. I personally just reuse my own code snippets, and even started to put regularly reused code into their own libraries (next up is to make stuff for parsers).

I also seen cases, when "AI assisted" coding had the same amount of issues as fully vibe coded stuff, as the person really wanting to cram the chatbot into their workflow did that trusted Grok too much with understanding the documentations, so he just ended up trying to implement stuff based on Grok's summary, which was wrong at places.

If you ask: artists also sometimes fall for this trap, though much less often.

[–] bss03@infosec.pub 10 points 2 weeks ago

They (pretend to) believe, either due to experience or marketing or a combination, that AI* will be such a ubiquitous tool within their lifetime that "not using AI" would be like "not using electricity". There are people that do not use electricity, even when it is available, today, but they are broadly considered "behind" the times and out of touch with broader (including global) society. AI advocates are unlikely to always have the same idea about exactly what the advantages are, though speed is often among them.

The actual scientific studies we have done are limited, but so far do not back up these claims. For example, AI assisted programmers self-report being faster, but are actually slower at the same tasks than a similar cohort without AI.

I have a fairly strong anti-AI bias, but my limited experiences with them have been quite poor. Maybe I'm just asking the "wrong" questions, but my experiences have had them either give an response that is internally inconsistent, contains easily refuted factual inaccuracies, or (for tasks with no reality/logic testing) absolutely the least creative, most middle-of-the-road text. I'm also aware of the human rights abuses that Amnesty International has reported around generative AI, the copyright "minefield" around models where you do not know all of the training data, and how we've lost at least a decade of sustainability goals because of the desire for "more compute".

So, keep my bias in mind when considering my reply. I might already be "falling behind".

I can think of some ways to use an LLM that are interesting to me, but for now I'm staying away from the tech until the bubble bursts and the hype disappears. It'll be easier to make informed decisions about what, if any, to use then.

(If it really does improve society, I'm sure I can be retrained then, or at least I can be taken care of one AI-incompatibility is recognized as a disability. /s)

AI: They probably can't define this term, but likely to have a specific product in mind.

[–] fodor@lemmy.zip 10 points 2 weeks ago (1 children)

People who say that don't mean anything. They are either trying to sell something or repeating bullshit they heard somewhere.

It really is that simple.

And remember, the AI salesmen will never, ever, define "AI". They can't, because the minute they do, their product sales will evaporate. If all you have is vaporware, you desperately need to pass it off as something else.

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[–] Hossenfeffer@feddit.uk 10 points 2 weeks ago* (last edited 2 weeks ago) (13 children)

There's a ~~truism~~ cliche that, when asked a question to which they don't know the answer, women will say"I don't know" while men will confidently guess.

LLMs are like men on steroids. From time to time they will (by chance) stumble on a correct answer, but mostly they just confidently guess with far less comprehension than even the most stupid man. And yes, I do mean the most stupid man.

Edit: 'truism' was a poor choice of word. I've changed it to cliché.

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[–] BeardededSquidward@lemmy.blahaj.zone 9 points 2 weeks ago (3 children)

They think AI is as life changing to our society as the internet is as steam engines were long ago. They're trying to promote its use because it doesn't have a good specific use for day to day. If anything AI has made the internet MUCH worse, there's so much AI Slop media on youtube and similar that I don't look at much new stuff anymore because of it.

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