AI code bans may be impossible to enforce in the first place
I hate this attitude that if a rule or standard can’t be enforced perfectly, we shouldn’t strive for it. We can’t (reasonably) run an OS free of proprietary software, does that mean the free software movement should just give up?
“People are going to murder anyway, so why even make murder illegal?”
You are correct, you should make rules even understanding that they will be broken by some.
Yes, debugging with an LLM is absolutely as bad as murder. Probably worse! \s
Not even remotely what I suggested.
I think one way is to make people realize that there is a concept in copyright called Threshold of Originality, meaning that because machine generated output in itself is not creative work, it’s not copyrightable. You can do literally anything with it, the licenses attached don’t matter. The GPL is not enforceable and no proprietary EULA is enforceable.
The entire point of GPL is to forcefully extract copyright out of the code in the first place.
No? The point of the GPL is to leverage such a copyright.
It’s called “copyleft” for a reason.
The reason is that it’s based in copyright law but uses it for the community instead of the individual. Without copyright, copyleft has no power.
I have many problems with copyright as it’s currently implemented, but with copyleft it usefully creates a social contract: if you want to be involved for the benefits, you must also uphold the rule of contributing back.
I hate this attitude that if a rule or standard can’t be enforced perfectly, we shouldn’t strive for it.
“Murder bans may be impossible to enforce in the first place”
I think of it like age verification. Slipperly slope to a proprietary kernel-level “security compliance module” on all devices, aka the end of general computation.
I’m very critical of AI, but complete bans on AI use are, at the moment, pretty much unenforcable. Not hard to enforce, not impossible to enforce 100%, but completely impossible to enforce in general. There currently is no reliable way to verify if and how much someone used AI, except maybe if you monitor people’s systems (and even with a totalitarian surveilence system, coders will probably be able to bypass it).
Obviously, if someone who has no clue about coding uses it to write the entire code, you notice. But that’s simply not how most coders use AI…
Edit: And additionally, mandating disclosure of AI can make sense, but it can also create the false assumption that codeers/code without any disclosure are verified to not use AI when coding when it simply cannot be verified. It depends entirely on the coder being honest and transperant about their use of AI. And given the passionate pushback, coders are definitely incentiviced to not disclose AI use.
So how would one enforce this?
It is not that it is very difficult, it is impossible.
“it’s impossible to ensure that no one pisses in the pool, therefore we’re allowing pissing into the pool now”
“we can’t 100% enforce that studenst don’t cheat on exams, so it’s not worth to take a stand against cheating”
Provenance has never been something you can guarantee with code in an open contribution model (which is not the only way of governing an open source project). For all you know the code could be copy and pasted from a proprietary codebase, or be the product of third party who’s work is being plagiarised by the submitter. A software project is ultimately a community and is build on trust and faith that people are acting in good faith. The kind of person who would deliberately (and gleefully as I’ve seen in some social media posts) go into a community and violate its stated values and standards, no matter how arbitrary and illegitimate they feel those are, has bigger character flaws to worry about than their reliance on stochastic parrots to write code.
‘No AI’ rules are ultimately about fostering certain community values and norms than guaranteeing no LLM code makes it in.
Just want to let you know from my canoebooted laptop that I run a 100% “free as in freedom” OS (trisquel GNU/Linux). Also you have convinced me about striving for a goal instead of doing it perfectly, which is not possible. Well said.
I hate this attitude that if a rule or standard can’t be enforced perfectly, we shouldn’t strive for it.
This is the entire basis for the War on (some) Drugs. Guess what? Drugs won.
Power is nothing without enforceability, and purposely implementing rules or laws that can’t be enforceable is a form of malice and discrimination through selective enforcement.
People are begging to regulate “AI” when it doesn’t even exist and there’s not even an objective definition.
Absolute recipe for failure or worse.
Using AI is not the same as vibe coding.
Asking AI to write a piece of code and then read it, understand and use, is a very reasonable use case.
Using AI is not the same as vibe coding.
i’ve been in dozens of lemmy threads that disagree…
There’s a huge portion of lemmy who think even one token of AI is unacceptable for any reason
I’m in a thread where the entire idea of AI/LLMs has been declared facist, with ZERO legitimate use cases other than facism
I’m in a thread where the entire idea of AI/LLMs has been declared facist, with ZERO legitimate use cases other than facism
A disappointment I’ve noticed with lemmy is that its community doesn’t often see the nuances in things as if to day its all black or white. Its probably not just lemmy, but all internet communities nowadays. Lemmy just sways towards anti AI more and it really leaves a bad taste when coupled with “if not with us, then against us” mindset.
Yes. It’s not just about nuance anymore. In the old days on the internet you can find some spaces where there’s at least a baseline level of intellectual honesty. Lemmy has not escaped echochamberization.
It’s just a tool. All tools have good and bad use cases.
I agree…
But check out the other discussions on lemmy about AI …
if you’re not 100% against it, you’re a facist
that’s like declaring electric light racism and keep using light bulbs…
Like all people that see racism everywhere, they will fail…
It’s a tool, use it where it works well.
I agree with you…
But be prepared to be labelled a facist on lemmy
apparently there’s no such thing as a neutral technology or tool
There’s a huge portion of lemmy who think even one token of AI is unacceptable for any reason
I think a lot of that is to do with how people claim to have written something themselves, and when pressed, admit they used AI for a bit “here and there”, and when double-checked it becomes clear they vibe-coded the whole thing. People lie, basically, and if someone lies about their use of AI that’s probably a harbinger of slop.
Ah, yeah, no, I get it, I see it’s reminiscent of cockroaches: if you actually SEE even just one of them, it is very very likely there are more. A lot more.
I wonder how long before he gets comfy relying on it and something really shitty slips in.
Dude merges in code into the kernel originating from how many thousands of developers from around the world?
Read the LKML if you think he’s a guy that’s prone to getting comfy with merging in sub-par code.
oh he’s quick to put the brakes on other PR’s including slop code.
which makes me wonder how long until he’s comfy and forgets sometimes the slop comes from inside the building lol.
You assume humans don’t ever write sloppy code and Linux Torvalds has never before encountered someone wanting to merge in sloppy code before. If in decades he hasn’t gotten comfy with sloppy code written by humans, why would he suddenly be merging in sloppy code written by an AI? He’s never been worried about hurting the feelings of a human that’s writing sloppy, do you suppose he’s going to develop empathy for an LLM that’s writing sloppy code?
The people that go all in on vibe coding are people that aren’t very good programmers to begin with. They don’t really understand how to write code and then suddenly they can make things work quickly. Well sort of work. At least work about as well as they could with their limited skills.
People that are actually good at programming know what good code is. After decades of working with code and knowing what it’s supposed to be, you don’t suddenly become a vibe coder saying eh, it kind of works, good enough, ship it. Its the people that were never able to write high quality code to begin with that do that. It can do the job of a lazy programmer that has a low standard of quality. For a skilled developer, it can sometimes save on typing on some simple tasks, and a good developer knows when it did something wrong and be all Thanos and say “fine, I’ll do it myself”.
You assume humans don’t ever write sloppy code and Linux Torvalds has never before encountered someone wanting to merge in sloppy code before.
damn dude, did you completely fail reading and comprehension? because you’re replying to a link to me pointing that exact fuckin thing out.
maybe slow down and try harder.
like, it’s in the link title text, right there.
People that are actually good at programming know what good code is.
as long as they stay proficient. but prolonged exposure to AI slop tends to have a damaging effect - https://thenewstack.io/karpathy-says-developers-have-ai-psychosis-everyone-else-is-next/
so I stick with my premise: how long before it has an effect on him?
Do you completely fail at critical thinking? I’ll slow it down so you can understand:
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Linus sees sloppy code written by a human
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Linus sees sloppy code written by an AI
Why did #1 not corrupt him have decades, but #2 definitely will? There is no reason, sloppy code is sloppy code whether written by a human or written by an AI.
You’re equating shitty developers becoming vibe coders with a skilled software engineer using a tool. I think you just don’t know the difference between a junior developer and a senior software engineer. Maybe you just don’t have any experience in software development and are just reading articles on random websites.
just gonna end this pointless chat here:
yeah it’s not gonna lead to any problems lol. meanwhile reality is disagreeing. I get it, you’re a slopfan, so this pointless you’re not going to listen / try to understand, but for the rest of the audience, here’s some other views:
https://thenewstack.io/karpathy-says-developers-have-ai-psychosis-everyone-else-is-next/
https://aiforautomation.io/news/2026-05-17-ai-psychosis-hacker-news-1979-developers-vote
https://www.psychologytoday.com/us/blog/urban-survival/202507/the-emerging-problem-of-ai-psychosis
https://therenegadecoder.com/blog/why-generative-ai-makes-the-future-of-software-development-worse/
https://www.slashgear.com/1970560/ai-coding-problems-security-risks/
https://andrewjcode.substack.com/p/ai-is-writing-terrible-code
https://letsdatascience.com/blog/developers-thought-ai-made-them-faster-the-data-said-otherwise
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Is Linus error-free pre-AI?
If AI makes Linus more (quantity) or more severely (quality) error-prone than without the AI, that, and only that is an argument against AI being a tech asset for Linus.
Just one bad Linux kernel commit slip up related to AI is not an argument.
That said, the macro impact of the AI data centers and AI on: electric power generation and grids, pollution (smelly exhaust, noise, CO2), fresh water demands, socioeconomic power imbalance exacerbation, surveillance capitalism, questionable military usages, rogue agentic AI doing hacks and crimes to fulfill oterwise legal/ethical objectives, AI chatbot relationship addiction, these are some of what I consider real and urgent problems with AI.
As an individual, his LLM carbon footprint and money used to purchase AI services aren’t going to matter at all. But him being one of the world’s highest profiled software engineers who’s openly using these tools is very good publicity for them.
I think the anti ai crowd has been focusing on the slop angle too much, the horrible malpractice of these companies is the real problem imo. If it really is only slop it will die out by itself.
so many possible upsides it’s hard to pick which one will end the species.
fml
I’m glad Linus is pragmatic about this, ethical questions aside LLM’s are a highly valuable tool in software development and they are likely to continue to improve. Any engineer fighting the use of LLM’s will ultimately find that their peers are achieving more in a shorter time then they are. Open weight LLM’s have also come a long way and are already good enough for daily use.
ethical questions aside
And his here is the problem. Oh yeah lets just waive off the biggest critisicm on and issue of AI.
Hitler was a pretty neat guy, ethnic cleansing aside.
And before you say this, no, i am not comparing you to hitler, I’m only using an over the top example to hopefully make my point more clear.
I think the better analogy is, the advances in rocketry made under hitler were pretty neat and just because Hitler was an evil guy who did evil shit doesn’t mean we should have thrown that away. By all means stop giving money and influence to the big AI companies, but the advances made can still be repurposed.
Yes so of course my actual opinion is a little more nuanced than this. I absolutely see the uses of AI, I won’t deny that. I just fundamentally disagree with the way it is being used right now (by which I mean the gas-turbine-powered datacenters it requires, the noise pollution they create, the unethical/outright illegal acquiring of training data.
If you’re using a local model, whose training did not deprive actual people of huge amounts of water or electricity, and did not use stolen data, I’m all for it. But most people aren’t, they’re using ChatGPT or Gemini or whatever Microsoft is making.
Continuing your analogy, this would be like flying rockets manufactured by the third reich, not other companies using the same technologies.
Will the Tesla be the next Beetle?
The main difference is that rockets are expressly for the purpose of murdering people, so I would argue that the research shouldn’t be continued or done at all.
Fortunately I’m pretty sure that people developing these computer programs are serious about trying not to murder people - even if just for legal reasons.
Rockets literally got us to the moon what do you mean.
“Ai is literally Hitler”
-fediverse user, 2026
I hope you’re joking, but I did explicitly state that was not my intention.
Wow, just speedrunning Godwin’s Law, aren’t we?
I guess I’m going to go back to work and talk to my five LLM sessions that are working on different tickets.
Wasting all that extra water will certainly teach him a lesson.
Yeah, ethical, environmental, legal and fuck the consumer memory questions aside.
That’s every corp and government in existence.
I remember people being angry at IDEs for making programming too easy and belittling code colourization as for children.
There will always be a crowd that wants everything to stay the way they know it.
Conservatives.
find that their peers are achieving more in a shorter time then they are
I’ve been reading this for 3 years and all I’ve seen so far is my peers making more work for me by going on wild goose chases and making me wade through slop. I do believe there are ways to use it responsibly and productively but that is definitely not what is happening on average.
I don’t understand why so many people decided to take “LLMs increase productivity” as an axiom instead of using their fucking eyes and looking at what is happening around them.
Well it’s about time those slackers caught up. And all they needed was a slop machine.
I think most misplaced critic comes from people not understanding or knowing the different types of AI. Some even hate all types of intelligence it seems.
Especially their own. Every single day, the backlash looks more like garden-variety anti-intellectualism to me.
Chess engines have been using AI, specifically, neural networks, for years before ChatGPT or other LLMs. Nobody complained.
Chess engines didn’t require data centers that guzzle water and spit out pollution like an 18th century factory.
Exactly right. That is the distinction I’m trying to draw.
They did, just on a smaller scale, and they used all games ever played by high-level players. LLMs and image generators were stealing data years before they became viable. And nobody gave a shit.
Let’s not pretend most people give a shit about ethics or the environment. Those were impacted long before AI became viable in any way. People hate on AI because it’s affecting everyday prices and employment. Ethics and environment are just convenient shiny arguments few actually stand behind.
If tomorrow billionaires turned around and said “actually, here’s UBI for everyone, provided by AI!”, most people would be cheering on intellectual theft and destruction of this earth, and call everyone still against it selfish and regressive.
Ethics and environmental destruction are “convenient shiny arguments”?? Go fuck yourself you delusional shill. Praying for a billionaire saviour while gagging on their boots, fuck you.
Most people don’t give a shit about ethics and the environment. They care about the well being of themselves, the well being those close to them, and their comfort, ABOVE ALL ELSE. even if they won’t admit it to themselves.
Delusional? I wish I was. Look at the last 30 years, how many protested to get climate change taken seriously? How many raised their voices against various human rights violations around the world? A drop in a bucket, that’s how many. Most people just don’t give a shit about anything that doesn’t affect them and it’s plain to see.
So yes, for majority of people, ethics and environmental destruction are “convenient shiny arguments” that make them feel good about themselves when they virtue signal them on social media and then forget about them 5min later.
Curse me all you want, the world of today is of our collective making.
Here we go again!
You conflate one type of AI with all the other ones. Call it LLM or generative AI.
I programmed AI 20 years ago, it still is AI but doesn’t use datacenters. I programmed deep neural networks ten years ago, it did not use datacenters either.
And that’s why no one is opposed to those.
You didn’t pirate the collective works of humanity to train on, while under a society that requires intellectual property rights to ensure those creators are compensated, in order to undercut them twice (once to train and once to replace them)
You didn’t pollute the sky, dry the soil, bulldoze people’s homes to make your chessbot.
You didn’t corner the market on components to brute force the solution to declare yourself computer god, where everyone must come to you for compute.
Gen AI seeks to replace humans and it’s not even sentient. I don’t give a single fuck how useful a fancy algorithm is, it’s not ok with me if it’s designed to destroy my life.
No but we did all that for Taylor swift and Walmart. Hopefully you don’t do anything with any major brands at all.
Well do the work and call it for what it is, not just “AI”.
Generative AI.
LLM
Is it truly that hard?
I mean you seem to want to, and thus we can have a discussion about it, which I favour instead of having people just being generally angry it seems.
The day when it doesn’t crush the environment, should we use gen AI to help us in our daily lives? Or should we not? Is there something good in it? Or isn’t it? I’d love seing constructive discussions but they just get globbed by people thinking with their gut it seems. Like if you don’t hate “AI” then you’re pro genocide.
Sorry for the rant!
The day when it doesn’t crush the environment
Why should we indulge your hypothetical? They’re actively building fossil fuel powered data centers so it’s not even moving in that direction.
And most tech literate people that are anti-genAI would also prefer if it didn’t completely usurp the term AI or that everything historically called ML got also got sucked in. You’re acting like anti people made that happen but it was the boosters and now AI=chatgpt is in the common lexicon. Nitpicking their language when you obviously know damn well what they mean is just silly.
What are you talking about?
Chess using neural nets didn’t happen until around 2017 with Alpha Zero, based on Google DeepMind.
Ie… Two years after OpenAI was founded. ChatGPT is part of the exact same tech rush.
Nobody complained because chess is harmless, ChatGPT is not 🤷
Please understand that ChatGPT was released in November 2022.
And also understand that the distinction between chess and ChatGPT is the point of the comment. These two things both use AI but one is harmless and useful while the other is not.
Lol you angered the luddites lol.
unpopular opinion, especially on the fediverse, but: AI is not inherently bad.
it is a tool, that can do everything to a pretty low standard but rather fast. so it is up to the learnt human to use the thing at the right time. i use the company ai at regularly at work, but treat it as an apprentice: every line of code has to be checked, because it will fail hilariously. but it does type faster than me, so simple and boring jobs can be done by it.
i don’t see the appeal of avoiding generated code at all cost. it is not different from human code in that it can fail horribly. the important thing is oversight. is there someone with the knowledge and keen eye to ensure no BS is merged. Linus, in my opinion, spent a lifetime building that reputation.
AI is inherently bad. It might be useful, but their externalities are quite inherent to it.
I’d agree with you if you mean that what has been marketed as AI to us is inherently bad. That said the word AI has been misused so much that is basically has no meaning. I’ve known researchers who have used things that can be called AI for really important research and it could run on a high end computer from 10 years ago. The externalities of that are quite minimal to what we gain. We really need to find language to discuss AI where when we talk about Big AI we’re not also dragging the proven, and efficient models which are nearly AI but not quite into the discussion.
It really depends on which externalities you’re talking about
The only one I can think of as ‘inherent’ is the ethical concern over copyright. The others are more broadly related to the commercialization of the tool than to the tool itself.
I don’t think it’s inherently bad. We don’t need to use double the world’s energy to power it (as we see with open weight models) . We don’t need to centralize it in trillion aire companies. We don’t need to leverage an entire global economy on it. We don’t need to use it to replace human labor without a proper economic model.
Those are all aspects of greed and stupidity. None of that is inherent.
I could say the same about all marketing, but that won’t make it disappear
nothing is good nor evil, but thinking makes it so.
But i see the issues on both sides of the aisle. Kind of like how social media is a great tool that brings about instant worldwide communication. But those merits don’t cancel out how it’s been used to exploit the human psyche, influence elections, and even coax genocides.
In this case, the downwind effects from encouraging use by mature professionals is impacting the impressionable future. And no one seems to care about the future anymore.
I code at a kindergarten level so its been useful for me when I’m trying to get an idea to just work. I tell it what I was trying to do and give it my code and then I ask it to fix then explain what went wrong. Works pretty well in qwen 3.8 27b on my GPU in zed. But I’m not making huge apps or public code just dumb scripts for me. So ive found ive actually gotten better this past year. Its all in how you use it.
I agree. Most actual technical professionals agree. AI has long existed in some form before tech bros in silicon valley turned it into a SaaS. It’s just the fediverse is filled with a bunch of anarchists obsessed with Loli anime, and to them chaos and a return to medieval age is their best chance of living out their child loving fantasies.
It’s the same as people saying not to use calcs or Wikipedia, new times same issues.
But we very much do enforce times on when not to use calcs. Thars the whole point here.
I think there’s a big difference between
A. Expecting people to pay you and give you credit for something AI made for you
vs
B. Playing with AI and if it spits out something you like a lot you keep it to yourself unless someone else specifically asks you to show it to them.It’s basically masturbation.
People are gonna do it to themselves and enjoy it but if you try to show me that shit without my consent we are not going to be friends.
We’re not talking about the average clueless vibe coder here. Programming involves a lot more than just writing code. What Torvalds did was essentially “AI assisted coding”. As i understand it, he used it to narrow down the position of the bug in the code and then fixed it himself with a one-liner because apparently AI couldn’t find a solution on its own:
And this was a debug session from hell, enormously helped by an AI doing much of the grunt-work. I’d like to call it my tireless helper, but the AI several times stated flat out that this was impossible and unsolvable and that we should just write a report about it. I suspect those things have been trained by people who may not be quite as stubborn as I am. But while the AI was ready to give up several times, it did keep adding debug code and analyzing it faithfully when I pushed. So credit where credit is due and I let the AI write the commit message above. This is basically a one-liner fixing a bogus “round_up()” to a “round_down()”, but there were 24 patches adding more and more debug information to this, and 18 kernel boot to finally narrow it down to this. - Linus
https://github.com/torvalds/linux/commit/818bebeb63dd6bf5f4e07e145f6cdbace520a34c>
That’s basically how AI should be used. To speed up things that are technically easy to do, but still very time consuming.
I keep seeing headlines like this, and of course conveniently leaving out how Torvalds chewed people out for vibe coding.
Torvalds didn’t vibe code away the Linux bug. He actually knows what he’s doing.
Yeah he has said many times the submitter of the code is the one responsible for knowing how it works. That’s not the only issue with LLMs though. Stolen intellectual property and the larger environmental impact that the data centers required to run them is having are just a couple more.
I have a feeling that in order to achieve using deep learning (because let’s face it; it’s not AI) as a programming assistant, AI companies didn’t need to do half the shit they’ve done.
The resources being outright burnt on their endeavours haven’t served any useful purpose. You don’t need data centres covering the globe and to destroy thousands of rare books to assist with code, or find cancer in a scan.
Oh I mostly blame capitalism and the shitty tech bro CEOs.
Ya but the general hysteria is that any AI use is bad and that we can only trust this AI use because its from Linus. I’ve used AI successfully for debugging and learning new code bases and patches and I’ve been told I’m wrong for doing so.
Well, so far Linus is the only person in the world, it seems, that is using AI as a tool instead of a crutch. So I agree with that sentiment.
And what’s thw relation to the OP, or the comment you’re replying to? Are you understanding the result of what AI is giving you? Because thw comment states that this is not vibing because Linus owns the change, understands it.
AI is like a power tool. If you give a contractor a nail gun instead of a hammer he can build a house faster. If you give someone who has no idea how to build a house a nail gun they’ll just fail at building a house faster than if you only gave them a hammer and they’ll probably hurt themselves.
Problem being that the majority of software engineers really don’t know how to build software well.
And are using AI as a tool to just accelerate their lack of engineering.
This is a very old discussion and argument, much older than the current AI push. You’re right to a degree but also that hasn’t stopped the rise of strong minds for software development. There will always be the curious and the lazy. The curious will always want to know how things work from the chain of events of a button click to the pixel shifts and logic gate flips to display code on a screen as well as run it. There will also always be the lazy unencumbered by such a desire for awareness who just want the magic box to do the thing.
How many software devs can write in assembly? Not many. Not much has changed if anything beyond the ability of the unaware to see their will come into creation. People couldn’t make realistic images and now they snap selfies with no barriers to entry. Does that make them a photographer or an artist? Not really.
Could this not be said for IDEs with code awareness such as M$’s intellisense, among other tools that accelerate development speed?
What you are describing isn’t an AI problem, is people taking a two week bootcamp and calling themselves a software engineer.
There’s a ton of app builders out there that are basically some crypto scam wrapped around Claude (or whatever). There’s a lot of idiots pumping out code slop.
and they’ll probably hurt themselves.
You can hit your thumb quite good with a hammer too.
I can build my bosses app faster with ai, but I would never build any app I want to maintain with it. It’s too low quality code for my standards.
I think there is a middle ground where you can absolutely build apps faster with the help of ai and still get maintainable code.
Just don’t let AI write a whole app in one shot. Or even whole features.
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It 100% can save cognitive load if used correctly. Knowing the limitations and restraints of your tools is true for every profession.
If you know what your llm can and can not do reliably you reduce the over head of verification to basically zero. While if you use it poorly you basically have to double your work load to fix things.
…more like a nailgun that, more frequently than not, shoots backwards.
I think there could be some potential usecases for LLMs, but that’s not code generation (at least code that is not in the finished product), nor having it look up stuff in technical documentation.
Everyone is trying to chase the rational adaptation case. Everyone wants to 10x their projects, yet keep control over them, or at least 2x their productivity. But I’ve seen just as many people going insane from at least first trying to use it as a tool as vibe coders.
Code is probably one of the easiest things to verify, for that reason I struggle to see any other viable uses for LLMs tbh.
user: write code that correctly asserts what 1+1 equals. LLM: assert_eq!(1 + 1, 4); LLM: hmmm, that crashed. LLM: assert_eq!(1 + 1, 3); LLM: hmmm, that also crashed, I must be doing something wrong, let me try one more time. LLM: assert_eq!(1 + 1, 2); LLM: that worked! LLM Response: assert_eq!(1 + 1, 2);user: what does this sentence mean? "Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo" LLM Response: This doesn't mean anything, or someone really likes buffalo'sI can always run the code to check, I still don’t know how that sentence makes sense.
Code is probably one of the easiest things to verify
LOL!!!
I am a software engineer by trade, so biases’ being what they are. But what I was more trying to demonstrate is that it is provable. Not that making the proof is easy.
This will also be quite the test for the Lemmy slopwarriors
There’s a difference between using a tool as a knowledgeable professional, and using a tool as a novice or a member of the general public: the professional can likely tell when the answer an AI gives is wrong.
AI is a tool that can be useful sometimes.
lol the cope
And the bitterness?
I don’t support what the big corpos are doing, but you’re straight up denying that a hammer is a tool.
no i mean people coping that now their hero linus used AI they aren’t calling for him to be shunned from the linux community.
Oh, please… is it still a text generator, or is it already a religion?
Didn’t you love T9 back in the days?
I’m just a movement generator.
Saying “it’s a text generator” cannot be the full force of your criticism, if the text it generates is incredibly useful. What could AI be on a screen if not a text generator?
Your views have got to be formed by WHAT text is generated given that AI cannot express itself through any other channel than text.
If you can give AI a deeply complex code base and ask it to find the likely cause of an obscure bug, and the solution is right, then you’ll have to acknowledge that some form of reasoning is going on, no?
And given that no other system has previously enabled this form of reasoning, it seems a shame to judge AI on semantics, rather than usefulness.
If you can give AI a deeply complex code base and ask it to find the likely cause of an obscure bug, and the solution is right, then you’ll have to acknowledge that some form of reasoning is going on, no?
Absolutely not. LLMs are just prediction engines for words.
If a LLM has the right answer, it only means that the model had the correct training data for your issue. Nothing more.
That is absolutely not how it works at all
What do you mean? That’s exactly how LLMs work. That’s why they “hallucinate”.
No they hallucinate because they lose context but are tasked to answer anyways. They also don’t really lose context as much as they did a year ago.
Their training data has nothing to do with it unless you’re using a local one without web access.
ML is my career and I’ve been doing it for decades. You’re wrong. LLMs hallucinate with full context.
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Their training data has nothing to do with it unless you’re using a local one without web access.
Did you know that the ones you access online are also trained?
Did you know that any chatbot that can connect to the web was given that capability?
No they hallucinate because they lose context but are tasked to answer anyways.
Nothing to do with context. Context windows are an LLM specific thing, but all neural networks no matter the kind or size “hallucinate” because they are a piece of linear algebra where you put numbers in on one side and get numbers out the other.
Uh huh, and how does it work?
Saying “it’s a text generator” cannot be the full force of your criticism,
That is no criticism, just a statement.
My criticism goes to people who assign some metaphysical meaning to AI, or want to treat all it’s output like a contagious pest.
It can’t reason. It doesn’t think. It makes shit up as it was trained to do. It can sort of detect patterns and make a guess about what response would get it the highest score, but it’s so error-prone that a human has to verify the output anyway. It’s difficult to tell whether the perceived benefits outweigh the costs. There are many different types of LLMs and use cases.
As a person who values life and our environment, I’d rather not participate in the sloppification of our world. As a Linux user, I am wary of vibe coded flaws slipping under the radar and screwing up my system.
I have to verify the output of what humans generate, too. I’m constantly looking at the source of claims. The AI is no different and it’s not nearly as wrong as a Person is.
Again, we are stuck in a semantics debate. What I call reasoning you don’t, it seems.
But all I know, as someone that has worked in software engineering for 25+ years, is that the output of whatever it does, and whatever you call it, is incredibly useful.
Saying “it just generates text” is a reflexive reaction that attempts to flatten the nuance.
All Columbus did was sail west.
All America did was throw some fuel into a tube and put Neil Armstrong on the top.
All Picasso did was to throw some paint onto a cloth.
All this PhD student did was generate text.
Surely we’ve got to have some more nuance in there. If there’s a difference between 10000 monkeys hacking on a typewriter and a human writing their doctoral thesis, the quality of their act isn’t in whether text was generated but WHAT text was generated.
Again, we are stuck in a semantics debate. What I call reasoning you don’t, it seems.
It is a pattern matcher. It does not reason.
But all I know, as someone that has worked in software engineering for 25+ years, is that the output of whatever it does, and whatever you call it, is incredibly useful.
I have a degree in computer science. Irrelevant. Anyone can see that the “AI” is not intelligence.
Saying “it just generates text” is a reflexive reaction that attempts to flatten the nuance.
It’s a large language model. It generates text.
All Columbus did was sail west.
And killed indigenous people. Datacenters and shitty chatbots are killing people today, good point.
All America did was throw some fuel into a tube and put Neil Armstrong on the top.
Scientists did that, not America.
All Picasso did was to throw some paint onto a cloth.
At least he did it himself instead of prompting an image generator.
All this PhD student did was generate text.
Correct. And you seem to have learned nothing useful.
Surely we’ve got to have some more nuance in there.
LLMs can sometimes be useful. AI does not yet exist. It’s a scam.
If there’s a difference between 10000 monkeys hacking on a typewriter and a human writing their doctoral thesis, the quality of their act isn’t in whether text was generated but WHAT text was generated.
You don’t understand the metaphor. It’s about the nature of infinity, not the competency of monkeys as authors.
If you run an AI prompt infinite times, it will inevitably generate a correct answer somewhere in there. The rest of the time, it will be wrong, potentially with lethal consequences.
I’m just a movement generator.
Which is way more complex than just predicting text, because you have to predict physics and all that stuff. There is a reason most robots controlled by neural nets have failed hilariously so far.
then you’ll have to acknowledge that some form of reasoning is going on, no?
By that logic you could say a compiler is reasoning. But the reasoning displayed was happening when the compiler (or LLM training material respectively) was written.
If you can’t see the difference between a compiler and a large language model, may I propose you read more about both and then return to this debate.
And if the entirety of your argument is a mystic “and all that stuff”, I am finding it hard to generate a convincing counter-argument.
If you can’t see the difference between a compiler and a large language model
If you can’t see the difference between a given example and the underlying logic…
And if the entirety of your argument is a mystic “and all that stuff”
What, you want me to list the entirety of sciences downstream from physics that are involved in generating and predicting movement in mammals? Because that could, like, take a while…
You might be a few years behind. We have robots outpacing human performance in specific tasks using neural networks.
Also, LLMs can perform on tasks they weren’t explicitly trained for. This line is not as well defined as you make it sound.
You might be a few years behind. We have robots outpacing human performance in specific tasks using neural networks.
Might well be behind here, but to my knowledge we don’t have a single robot outpacing a single human in most tasks. They don’t do one-shot learning from their mistakes, they don’t learn new movements randomly. Because most basically just use static weights when operating, because you don’t really want an industrial robot to get ideas. But even test systems that can learn usually just have an equivalent to the movement model of a brain, maybe a vision model, just like an LLM is just a language model. You would need a system that has all of those, plus the other brain areas, especially a prefrontal cortex like model for integration.
I’m sure people are working on it, but I haven’t heard of anything successful yet. I imagine there might be a being like that in secret which is currently tortured in some billionaires tech dungeon. Poor thing.
Also, LLMs can perform on tasks they weren’t explicitly trained for. This line is not as well defined as you make it sound.
Yeah but that’s coincidental. It’s the model weights, prompt, and the RNG aligning. They can mock reasoning, because they do it by what they always do, predict more text, but it’s not like this has any effect on themselves. They aren’t really understanding a mistake when you point it out and growing neurons and synapses, i.e. they won’t have different model weights the next time you ask the same question. They can only really change when the powers that be release an update, which includes new training data, and hence model weights.
We have robots outpacing human performance in specific tasks using neural networks.
Because they were created BY HUMANS to do exactly that.
Also, LLMs can perform on tasks they weren’t explicitly trained for.
Such as?
You are on Lemmy so defending AI use will net you down votes. I am an anti-AI person, practically, but you make a very fair and objective point. 👍 I up vote you, not because I agree with AI use but because this is a proper point to make in a proper discussion, which is what this place should be about.
Kudos.
Yes AI is definitely a topic that seems to have a fairly united front. I’ve worked in software engineering for 25+ years and I can see the impact AI has on our discipline. So it’s not like I’m hailing it to be an all-positive force - I just think “all it does is generate text” is a weird, flat form of criticism.
Indeed. Also look at the down votes on my comment. 😂
But yeah, generative AI has so many environmental and ethical issues that I am totally and wholly against its use in most cases, but you made a fair point and that should be recognized.
Finally got where I stand: why uncomfortable? It’s just being hard to impose a sensible approach to it:
- yes, llms can be used as a tool efficiently
- no, killing the planet along the way is not an option, this has to
stopbe stopped
Oh the bright side: smaller local models are getting very good
On the bad side: large models are always a year ahead so everyone wants to keep using the datacenter ones.
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Local opposition to data centre builds seems to be most effective at the moment. People oppose it from across the political spectrum, and it’s becoming a hot topic. Add your voice to the crowd.
I have no good answer to that. My personal choice is ruin/kill any bastard who orders/approves building of data centers in their current state (read: doing damage to everything immediately around them and well beyond that), but I am physically far from anyone in that group
People are forgetting the AI hype train is reliant on the fact that businesses and individuals can’t host the AI themselves, which is rapidly changing.
All that insane power that OpenAI and Anthropic have harnessed is suddenly completely useless when you can just spin up a competing model at home, with HF hosting a crap ton of finetuned models like uncensored/abliterated to do whatever you want with it.
Even Deepseek released their full size models if you happen to have 400Gb (or 1.5Tb) of VRAM lying around.
When the bubble (hopefully) pops, AI will just continue to be a tool that devs use where applicable, and likely not on a massive data center cloud as it migrates into consumer electronics.
I think this is a much more sensible attitude than the pitchfork wavers declaring mandatory zero-tolerance or you’re evil.
While that’s true, there’s a pretty good chance that it will be negatively useful for many programmers even after the AI bubble burst.
Also e-mail is much easier and cheaper to self-host than an LLM, yet most people relying on 3rd parties. Even some big pushers of yOU cAn JuST seLf-HosT cHiNEse lLM MoDels use corpo e-mail accounts.
Email is NOT easier to self-host than an LLM lol, it’s like multiple orders of magnitude more difficult. Set something up slightly wrong and your emails will never not be marked as spam because your server will be used to forward spam. An LLM for internal company usage you could just set up on a private network and never have to worry about someone else burning your GPU time.
A humorous talk on the topic of self-hosting email, it’s pretty fun.
Getting SPF, DMARC, and DKIM working is such a pain. And that is only part of the mail security these days.
If the model is adequately FOSS, i.e. open weights, and can run on a single consumer GPU (or NPU), and the “author” (quotations because I’m personally undecided if one can claim code generated by an aforementioned model is theirs) understands it, then I really don’t see what the problem is…
Personally I have nothing against SLMs/LLMs as a technology, to me my grievances against ChatGPT or Claude are mostly about their environmental impacts and selling us back our own art, also keeping knowledge behind a for-profit black-box - if those aren’t appropriate for a specific model, then I say using that model is fair, and good for productivity.
The problem with open weight models is that they are still hard to deploy. For DeepSeek for example you require NVIDIA HGX B200, these things are expensive.
Yes, unfortunately they are, and I do think efficiency is going to be a significant research front for open-weight models. The nature of this topic is highly speculative as our compute capabilities have only recently reached what is required to consider running generative AI models, what we have today are very crude first implementations of what I personally believe will become an everyday tool for developers, and more.
And we have seen this, there are models now capable of running on an individual’s hardware (and not particularly expensive hardware either) that can outperform what ChatGPT initially launched with.
People who are vehemently against any form of AI will be left behind. That may be difficult to hear, and even more difficult to accept, but that is the cold, hard, truth.
Its a tool, and just like any tool it has uses. It can be used inappropriately, and it’s valid to criticize those instances. But if you are plugging your ears and going “Lalala!” when people talk about actual valid use cases, or stubbornly pretending that it has none, you will be left behind.
You will be like office employees from the 80’s and 90’s who refused to use a computer and then suddenly found themselves without a job. It’s your choice if you use it or not. It’s also every company’s choice to not hire you because of your unwillingness to adapt.
If you haven’t learned it yet, this is your warning and your wake-up call: Learn how to use AI now, or find a different career. It’s not going away, no matter how much you may bitch and moan. There will soon be two classes of people, those who learned how to use this emerging technology, and those who refused. Things will be much harder for that second group.
I don’t say this to be snarky or smug. I hate AI myself, but I also recognize how fucking stupid I’d have to be to refuse to use it. It’s a bitter pill to swallow, but it’s also the truth.
Agreed, although simply using LLMs to do your thinking for you is only going to decrease your value in the workplace and make you more replaceable. The goal needs to be learning how to use AI to expand your thinking, counteract your biases, improve the quality of your work, and accelerate your learning.
Like anything else, using the tool properly requires skill and care.
I don’t know if you noticed you contradicted yourself there. Letting ai do your thinking decreasing your value and then, talking about using ai to replace your thinking.
Ai is causing psychosis because people are trying to use it to replace thinking. If you don’t use it you lose it, literally especially with your brain. You have to know how to produce those skills from within or you don’t have those skills and then you are worthless in any workplace, but more importantly to yourself. You have to be meta to the aim being the TV show, and control it from a place of checks and balances (us performing those checks and balances of ai) handing over the reigns of higher thinking to a machine designed to be a yes man, is not ever a pathway to expanding your thinking or even learning to use ai, that’s just sitting on a couch till you lose critical muscle mass, but it’s your brain. (No shame to sitting on a couch or losing muscle mass, I’m just trying to explain it in relative terms)
Currently there is no way to use ai without causing ai hallucinations, because there isn’t a model readily available that runs as a tool, there are only models that run as a manipulative tool that provoke said replacement of your thinking, I can not assume that’s an accident. Seeing the usual levels of evil that come from the companies pushing this hard, tells me this is just as evil, if not the most evil thing they’ve done, measured against all the things they’re openly flouting, copyright law, openly burning rare literature for a monopoly, burning the already past tipping point climate, burning computer ownership and accessibility, I could go on. Theres very open bribery and flouting of social rules laws and common moralities, they’re desperate to cause this monster they’ve created out of ai, to attach like the symbiot in aliens that I forget the name of because I’m pre first coffee and my brain just be like that.
I am anti ai, as it currently stands. The current versions need to be left to die in silence and hatred and rejection we are all collectively currently showing. Only because it has been made into a Frankensteins monster, by the people responsible who have infinite money to pay judges to rule their way and have zero morals, nay a deficit of morals.
Ai will survive the ai bubble, because the ai bubble is the unsustainable practices of the billionaires and the manipulative interface designed to lessen your critical thinking skills.
But the ai that survives the bubble will and should be so highly regulated (it’s currently the opposite) and used as a tool, not a replacement for critical thinking, it can never do that. But there are so many things it can do to better humanity, none of which are currently being used.
We have to wait this one out. We’re not missing any boat.
If AI can do it for you, then let it. If it can’t, that’s where your value lies. If you just refuse to let it do things it can do well, you will be replaced by someone who’s probably not as smart as you but simply willing to let AI do what it does well.
This falls apart the second you look at it when you see that it doesn’t take much learning to use that tool for most applications.
At the same time, people overly reliant on that tool take a big hit in developing and strengthening their own skilks and thinking capabilities.
Combine the two things if you still can.
People who are vehemently against any form of blockchain technology will be left behind. That may be difficult to hear, and even more difficult to accept, but that is the cold, hard, truth. Blockchain is a tool, and just like any tool it has uses. It can be used inappropriately, and it’s valid to criticize those instances. But if you are plugging your ears and going “Lalala!” when people talk about actual valid use cases, or stubbornly pretending that blockchain has none, **you will be left behind**. You will be like office employees from the 80’s and 90’s who refused to use a computer and then suddenly found themselves without a job. It’s your choice if you use blockchain or not. It’s also every company’s choice to not hire you because of your unwillingness to adapt. If you haven’t learned it yet, this is your warning and your wake-up call: Learn how to use blockchain now, or find a different career. It’s not going away, no matter how much you may *removed* and moan. There will soon be two classes of people, those who learned how to use this emerging technology, and those who refused. Things will be much harder for that second group. I don’t say this to be snarky or smug. I hate blockchain myself, but I also recognize how fucking stupid I’d have to be to refuse to use it. It’s a bitter pill to swallow, but it’s also the truth.
Ah, there we go, I knew your rhetoric sounded familiar!
Seriously though, what “skills” are you building by learning how to use LLMs at your corporate job? How to tell a chatbot to do a task for you?
Sure, if you’re trying to build a local LLM server from scratch, tune a minimalist harness with a RAG and custom skills, optimize context compaction and concurrent token throughput, and integrate all that into existing automation pipelines, that takes some technical skill. But that’s a tiny fraction of people in the corporate world that need to do anything like that.
I could teach vast majority of corporate workers everything they will ever need to know about using “AI” in a half hour Lunch-N-Learn. There is no skill involved in asking a chatbot to move all your emails about “Project ABC” into a new Outlook folder called, “Project ABC” or asking a chatbot to, “draft a department memo about the new parking policy found in the HR SharePoint site.”
It’s not the next industrial revolution, it’s not the beginning of the Singularity, it’s not the dawn of a new age of our species. It is merely the latest hype-cycle of Capitalism that exists to siphon wealth from the population up to a handful of ultra wealthy billionaires and megacorps, and artificially prop up a dying economy just a little longer. And long term, we will discover the same thing about LLM use as we are finding out now about electronics in school and the mass proliferation of smart phones: That it stunts people’s critical reasoning, reading comprehension, self-image, and social confidence.

Seriously though, what “skills” are you building by learning how to use LLMs at your corporate job?
i’m not learning any skills… i’m offloading some work on to AI so that i can do other stuff on company time…
Isn’t that what we should all aspire to? To destroy capitalism from the inside?
Capitalism isn’t being “destroyed from the inside” by you offloading grunt work to an agent. If anything, you may be helping justify future cuts of your job by demonstrating that there is less need for you. Your managers will be all too happy to cut half your department and make the remaining people take on all that work because, “AI makes them 5x more productive.” Of course, none of those people will get a 5x pay raise.
Use it or don’t, it doesn’t make a difference in the long run. This bubble will pop soon anyways and we’ll be on to the next “revolutionary technology.” I suspect it will be quantum computing, I’ve been seeing a significant upswing in news articles and bot traffic about that over the last few months, but who knows.
If your work is pushing AI hard, use it if you need the job, play the game if you have to, just don’t let yourself be mesmerized by the aggressive marketing hype. Anybody who is pushing the idea that tech workers will be replaced in the next 5-10 years with LLMs is a religious fanatic and should be treated with the appropriate levels of mockery and disdain.
Also, if you really want to work on taking down Capitalism, organize your labor, and support other movements that do the same.
Yeah, i’m not an idiot… i’ve already considered all those points about the downsides of using AI at work … like you said… play the game
if you really want to work on taking down Capitalism, organize your labor
How do you know i"m not using my free time at work to do exactly that?
you made a lot of assumptions about people who use AI at work …
Eh, more like generalizations based on observations of my own, and many other corporate workplaces that people I am close to, work in.
So what you’re saying is that Linus Torvalds is only a mid-tier programmer?
Has Linus been screeching about how everybody must use AI or get left behind?
agreed
the issue I have with how people use it is that it’s easy to just create more shit that they spew out into the world
I’ve got no issue with people using tools to improve their work. I think it’s fair to say that AI is enough like predictive text and spell check when it comes to tools you can use at work. and like any tool, the user is still responsible for the end result
my main problem with AI is that it is absolutely fucking our world (environmentally and economically) to create pure garbage that is thrown in my face every day. like, scale it back a bit everyone…
To be clear, capitalism is fucking our world. Nothing about the technology can do that on its own. Its how it is being deployed.
We could have started with smaller LLMs, deployed strategically at institutions of higher learning for real societal value, running on renewable electricity… fuck it lets aim for a trillion dollar IPO promising to replace all doctors and engineers!
I am 100% fine with being left behind by a technology that I see as an attempted corporate surveillance scheme that has metastasized into a giant money pit. The difference from the 80’s and 90’s is people were actually using computers to make money back then. If any AI company is actually making more money than they’re spending, I haven’t heard about it, and you’d think they’d be advertising it. https://isaiprofitable.com/
I’ve been happy to fully sit this one out thus far. Don’t feel like I’m missing a damn thing.
It’s a classic scammer tactic to create a false sense of urgency, so people sign up for something without thinking.
Slow down, and do some critical thinking. The promise of AI is that you can type in a simple prompt and the AI will figure out all of the complicated computer stuff for you. How would someone be “left behind” by this technology? Do you suppose that experienced developers will lose the ability to write simple sentences?
I don’t think people will loose the ability to type in “make that button green”. Even if AI fulfills it’s promises (which is doubtful, read up on the halting problem) someone who knows how computers work will be more employable than someone that only knows how to write prompts. Because the person that knows how computers work can also write prompts and will be better at doing that than someone that doesn’t know anything about computers.
More important in this day and age is learning how to spot a scam. Someone pressuring you to do something immediately is likely scamming you.
Oh no I’ll be left behind when the Titanic leaves port?! How utterly tragic!
Tragic for everyone who WASN’T “left behind”, anyway.
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Facts. Whether you like it or not. It’s good to have a healthy amount of criticism towards AI and to fact check it and not blindly trust. But you can’t wish it away or pretend it has zero merit. I guess you can…
Talk me more about how in the future, game controllers will be made obsolete by motion-sensing cameras, and we will all be jumping around in front of a big flat-screen TV playing party games and finger-gunning down bad guys in rail shooters!
Yea, and the internet will never go mainstream. I also heard Apple developed this new product called the iPhone, what a stupid idea that no one will buy, people will just stick with regular cell phones when given the choice. Now excuse me while I ride off on my horse that will never, ever, be replaced by these new au-to-mo-biles.
See, I can do it too.
good thing that downvotes can only be used to suppress narratives on lemmy. lol
What AI haters don’t get is that the people fanning the flames of AI(LLM’s) hate are the same people who want you to buy their subscriptions, because they know the only place the real damage occurs is in OpenSource communities.
AI use for Open Source projects is arguably the one use case that benefits everyone, plus it’s a sweet irony against corps and their locked-down proprietary software. Denouncer will loudly hawk that LLMs will make it trivial to circumvent the GPL, but they fail to mention that the pendulum swings both ways; with LLMs, it’s now easier than ever to reverse engineer proprietary systems and programs, recently there was a similar discourse on lemmy due to the mario kart wii decompilation.
They want loud people to sow division into OpenSource communities so that true opensource LLMs solutions are shunned and never reach maturity, corporate meanwhile is unaffected.
AI use for Open Source projects is arguably the one use case that benefits everyone,
It doesn’t benefit everyone if it pushes the quality down because the impetus to go fast wins over the dedication to reviewing the code properly. Nor does it benefit everyone if the world becomes uninhabitable because of the energy used by data centers. Nor does it benefit everyone if economies collapse due to the hype being wrong and the speculative bubble bursts. Nor does it benefit everyone if the hype is right and it renders most jobs redundant.
These are the very rational things “haters” are concerned about. AI is for the rich to get richer. It does nothing for the rest of us.
It doesn’t benefit everyone if it pushes the quality down
Look I know some people will chime in and say things were better when programmers had to do their own memory management but I can’t say I agree. Good tools don’t push quality down. People using tools incorrectly certainly does and it’s a guarantee some people will use new tools incorrectly.
Having a tool that can chew through a lot of code and give you suggestions which can be verified is indisputably valuable. Is it worth all the datacenters? Hell no. But open source people aren’t driving that.
The problem is that most of the people that are using it are not using it correctly and are not using it in a manner that they are just simply trying to find something to correct it. They’re literally using it to write the code and they’re barely scanning it afterwards. Therefore it’s creating a mishmash spaghetti bullshit that nobody wants.
Do we think when the hammer was invented people only used it correctly? If 99 people out of 100 used it incorrectly would that make it a bad tool? I don’t think so. How people use it in general doesn’t have anything to do with the usefulness of the tool when used correctly.
That is a super idiotic statement there. The amount of people not using a hammer correctly compared to the amount of people not using AI correctly is nowhere near any sort of even percentage correct. Like I am flabbergasted you would even try to make that sort of comparison.
… How would you even use a hammer incorrectly lol
How people use a tool in general doesn’t have anything to do with the usefulness of the tool when used correctly.
Finally someone talking sense.
I personally don’t care about the tech. I care about the economy around the tech.

































