this post was submitted on 01 Sep 2026
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Fuck AI

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A place for all those who loathe AI to discuss things, post articles, and ridicule the AI hype. Proud supporter of working people. And proud booer of SXSW 2024.

AI, in this case, refers to LLMs, GPT technology, and anything listed as "AI" meant to increase market valuations.

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Hello,

This is my first post on Lemmy! Glad to join the Fediverse.

I’d like to ask for advice from people who might have tips on how to do research and learn things without using AI.

I’m starting to get sick of it, it’s very addictive, and I must have spent over €50 developing crap on Cursor.

When I discovered AI in 2023, I was the first person at my high school to discover ChatGPT. In fact, I’d even been playing around with the OpenAI Playground before that.

But over time, I became addicted, it turned into a real drug. I didn’t even use search engines anymore, just ChatGPT, Gemini, Claude, Grok, Perplexity, DeepSeek, and so on…

Since I discovered this in high school, can you imagine what it’s like to discover this while you’re in the middle of a specialized digital studies program? Yeah, you don’t learn anything new, you gradually fall behind. I’ve lost some of my Python skills, like how to create classes and stuff like that, even though back in 2021 I built a client for downloading pirated games that I was pretty proud of. I’m really disappointed in myself about that.

Now, I’d like to relearn computer science, learn how to code, use Linux systems, and so on... but how? Not only have I regressed a bit, but what AI has really brought out in me is a reluctance to do things and a tendency to leave everything up to the AI.

Today I’m in college, and everyone uses it in graded group projects; no one follows the university’s guidelines, which require you to disclose when you’ve used AI. There is a climate of mistrust nowadays.

I’d love to hear your tips, how do you manage without AI, and how can I relearn to live without it? I’ve made up my mind: I don’t want to use it at all anymore, except as a translator (I use DeepL, which I don’t think is the same thing as a generative AI).

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[–] Ibuthyr@feddit.org 2 points 2 days ago (1 children)

Welcome, fellow lemming! And what a great post to start out with! You've recognized what LLMs (and the simplification of tech for that matter) does with your brain and that in itself is very valuable and shows that you're already on the right track.

One of the biggest problems I have is that search engines have turned to shit, probably to boost LLM usage. I have some OK experiences with Kagi as a search engine, but it comes with monthly costs. The other problem is, there are hardly any dedicated forums left anymore. You'll mostly find things on Reddit and Reddit is a garbage website. Plus, many users have erased their comments after the mass exodus. So, getting hold of correct information has become increasingly difficult.

I recently nuked my windows partition and installed Cachy OS. At the same time I started building my home server. I'm going to be honest here, without the use of LLMs I would have started to cry in many situations because Linux is not exactly easy to troubleshoot if you're new to it. However, I started seeing patterns and commands that the LLM frequently suggests. I then went ahead and started researching these things and I have become less reliant on the LLMs over time.

My suggestion for you is to reclaim tech as your own. That will help get around the use of LLMs as you progress. You'll also be sticking it to the tech shitlords. And it's fun! Build your own server, host your own services, get rid of subscriptions, fuck Windows etc. To get things up and running, find communities that are active and can help you on your journey. Communicating with real people that have the same objective as you is way more fulfilling than chatting with a bot.

[–] percefia@lemmy.zip 1 points 1 day ago (1 children)

Thanks! I was thinking about paying Kagi… Is it really worth it?

[–] Ibuthyr@feddit.org 2 points 1 day ago (1 children)

I'm not entirely convinced... I don't like that they use the funds for creating their own AI. It's entirely optional though, no intrusive AI reply after a search. You have to actively use the function. What I do like is the ability to search forums only and that you can blacklist certain domains. Overall the search results feel more like Google in the past. Just try it out! I believe something like 200 search queries per month are free of charge, so you don't necessarily have to pay.

[–] percefia@lemmy.zip 1 points 21 hours ago* (last edited 21 hours ago)

I was about to buy it when I saw this https://help.kagi.com/kagi/why-kagi/kagi-vs-google.html: “We’re grateful to have access to Google’s search technology and infrastructure for Kagi.” Basically, it uses Google, so I’d rather use Startpage, which does the same thing but for free.

[–] django@discuss.tchncs.de 17 points 3 days ago (1 children)

I just blocked the domains I used. I can of course unblock them, but editing my hosts.txt is a conscious choice.

I have never gotten that addicted though, as I like keeping manuals and books for offline access on my system and the big llms require you and their systems to be online.

I can recommend zeal for complete documentations: https://zealdocs.org/

Navi for cheat sheets: https://github.com/denisidoro/navi

[–] percefia@lemmy.zip 3 points 3 days ago

Zeal and Navi seem very interesting thanks!

[–] ICastFist@programming.dev 11 points 3 days ago

One thing that will help you the most is having someone nearby to actually stop you whenever you try to sneak some AI use. Your own discipline is failing you, and that happens to anyone, so someone else to keep you in line and away from it is possibly one of the most effective things. You can look at it as being babysat, or as a rigid teacher ensuring you do your homework, or whatever.

Remember: humans are social creatures and wanting to look good for someone tends to be a very good motivator.

[–] hendrik@palaver.p3x.de 15 points 3 days ago* (last edited 3 days ago) (1 children)

Books! Get a library card, get a book and read it front to back. Some of them are really good. And we have plenty books around!

That's how I do it, anyway. Takes a while to adapt, but you'll manage to get into the habit by chapter 3. Also there's really good books on computer science and programming. What I love about programming books is how you learn in a structured way. They're laid out so you learn concepts the right order. They're written by experts... All of that spares you time and effort. There's always some initial hurdle / slow start, but overall you'll even learn more and faster than people going through random internet information.

In doubt (if you can't decide which book to get), ask your professor. It used to be called "suggested literature" and you'd get a list of books with any higher education course. You can also spend an hour at the library, grab 10 books from the shelves and just go through the pages. Pick the one you think is fun to read / you like the style.

[–] Waterpumpee@lemmus.org 8 points 3 days ago (2 children)

How do you make sure you remember the things in the books? Normally in Uni i would need several repetitions and compacting rounds to keep stuff in my head. With reading its easy to read but not process or read but never remember.

[–] Hazel@piefed.blahaj.zone 10 points 3 days ago

There's tons of theories on reading skills, but really the only things proven to be important are identifying key information and active recall.

As you read, try and identify the key sentence in each paragraph and mark it (I like to use sticky labels). I also label key paragraphs. After each chapter or so, close the book and try and recall what you've just read. (If you've properly identified key sentences this will help you remember.) You can write down what you remembered as a summary and check the key sentences to see if there's anything important you've missed.

A very common mistake is re-reading. This feels like work because it's tedious, but won't actually help you remember much more if you just reread poorly a second time. The quality of the reading is much more important. Over time you should improve your monitoring whilst reading and you might not need to mark and summarize. Monitoring is checking in with yourself on whether you're reading properly whilst you're reading. So during the reading you'll take mental note of key information and recall what you've just read in your head.

[–] hendrik@palaver.p3x.de 5 points 3 days ago* (last edited 3 days ago)

Yeah, it's exercise. Repetition and applying the learned information myself. I'll usually get books with some form of homework assignments at the end of each chapter. That's fairly common at least with programming books. I'll read the entire chapter. Sometimes two if I'm far away from my computer. After that I'll do some of the assignments. Or in case they're boring, cook up something myself.

Other than that, there's two options. Either I'm interested in some topic and enjoy learning more. In that case I don't even have to put in a lot of effort. I'd still have to do something with the information, otherwise it's gone after a few weeks, but it's not that hard. Plus I already got plenty ideas what to do with learned information once it's of interest to me. And if it's not... Well... learning Oracle SQL syntax or calculus were impossibly hard. I'll just need a lot of repetitions, compacting rounds, exercise, some test to see if I even got what I was supposed to understand... It's annoying and requires more willpower than I have available... But I'm not aware of any easy way to pull it off. I think it gets slightly better if you learn a lot/constantly. And everyone probably need to figure out which strategy works best for their own brain. Seems to be slightly different for different people.

[–] inlandempire@jlai.lu 10 points 3 days ago* (last edited 3 days ago)

Welcome!

Others have mentioned books, I want to add a more conceptual thing, just enjoying time spent on something, if anything AI is a symptom of Capitalism pushing for productivity, you don't need to know the answer immediately, your brain is like a muscle being trained when it's working on figuring something out and looking for the correct information. Muscle atrophy is a real challenge for people in wheelchair for example, maybe it can be the same for your brain using AI-trophy? heh

You'll feel more confident in yourself and you capabilities when you know you can find information by yourself.

Don't use it for ANYTHING for a good long while. That's the only way

[–] brucethemoose@lemmy.world 9 points 3 days ago* (last edited 3 days ago) (1 children)

You are not the first to ask this here.

Now, I’d like to relearn computer science, learn how to code, use Linux systems, and so on… but how?

Dive into the deep end! Try linux on your computer. Backup your stuff, read up on boot-loaders (and if you want to dual boot Windows at all), then follow the Arch Linux installation guide on their wiki, which is a great "crash course" in linux. CachyOS Linux would be my recommendation for something quicker to install but still hands-on.

As for programming, personal projects will have to stem from something you're interested in. I'd recommend a game mod if you still like gaming, but it just depends on your personal interests.


Also:

  • This is not your fault. ChatGPT and such are designed to be shamelessly addictive just like Facebook, Twitter and such. Those "AI" apps/services are abominations.

  • Don't even use the term AI, unless its used disparagingly! IMO its a marketing phrase built to anthropomorphize tech company services, so be more specific. Use "LLM," machine learning, whatever. Basically, use "AI" to mock the tech bro hype.

  • You might need some more general digital detox. Get addictive crap off your phone. But simply being on Lemmy is a good sign you're on that path!

  • You need LLM detox. But. In the future, if you are pressured back into usage by a specific class, your career, or whatever, consider the local LLM path, run on your own hardware, hackable, and free of the enshittification of the corporate apps. Consider keeping it offline to force you to fill/use the context yourself. In other words, there is another path besides running back into the drug dealer's arms. But let me emphasize that you should just go cold turkey now, especially at this specific point in your life.

[–] ericwdhs@discuss.online 3 points 3 days ago (1 children)

Agreed on all points, but especially the last one. I use local LLMs (bad place to state that maybe?) and find them useful, but just like I wouldn't recommend any level of alcohol to a recovering alcoholic despite it in general being fine in moderate amounts, LLM usage has to be treated the same way.

I'm similarly uncomfortable with the term "AI" by itself. It feels like it's trying to capitalize on decades of fiction and future speculation about AI and take advantage of people who can't know that what we have now is something that falls far short of that. However, I have been using "generative AI" to encompass all text, image, audio, video, etc. generation. I'm curious if you have a preferred term for that without "AI" or if the "generative" is enough of a qualifier to make the term adequately specific?

[–] brucethemoose@lemmy.world 3 points 3 days ago* (last edited 3 days ago) (1 children)

I use local LLMs (bad place to state that maybe?) and find them useful, but just like I wouldn’t recommend any level of alcohol to a recovering alcoholic despite it in general being fine in moderate amounts, LLM usage has to be treated the same way.

Yes!

I was afraid to bring it up. I almost didn't. But I just wanted to convey "if your future employer MAKES you smoke, if it absolutely cannot be avoided, be aware DIY nicotine patches exist as an alternative," as it seems like OP hasn't done much with self hosted stuff.

However, I have been using “generative AI” to encompass all text, image, audio, video, etc. generation. I’m curious if you have a preferred term for that without “AI” or if the “generative” is enough of a qualifier to make the term adequately specific?

I am just more specific!

For text models, or multi-input models? I use "text generation" or "LLM."

For media generation, I use "diffusion" as basically all those models are diffusion models.

I use "computer vision" for image recognition stuff. "Machine learning" as a more general term.

Basically, I pretend like I live in 2021/2022 before "AI" became a catchphrase, but the field of machine learning was racing away. TBH I hate the term "generative AI" as ALL machine learning is generative in some way, yet old school machine learning isn't normally included in that term.

[–] ericwdhs@discuss.online 2 points 3 days ago

Thanks for the thoughtful reply. I'll definitely tweak my vocabulary.

[–] HrMoon@lemmy.world 9 points 3 days ago

luckily most of us here grew up when there was no AI, or smart whatsoever. Remove all subscriptions/links to AI. If you want to learn what is happening in a field, like Linux, get a RSS reader and follow the blogs. They explain everything and you don’t need AI for that. Follow things you are interested in in mastedon, it’s the same but you don’t let any AI do the summarising for you. You follow and your brain picks up what it doesn’t know.

you can also buy books from HumbeBundle. They have cheap books there. 19 books for 25 dollars.

use social media to stay on top of things, dont let AI do that for you. That is, not to be social but just the follow what organisations are doing.

Learn how to use search operators on the search engine you're using. It will allow you to narrow your search so much from a general query. There's pages on search operators for google and duckduckgo.

[–] tangeli@piefed.social 7 points 3 days ago (1 children)

As has been pointed out, books used to be the primary sources. Magazines also, but most of them are gone now, or full of slop. Be cautious of newer books: many of them are slop. There are some very good blogs, forums and personal websites still, but finding them is more difficult, given the degradation of search engines and pervasiveness of slop. None the less, you can still find them and keep your own curated list of the ones you find relevant and helpful.

At college, you can focus on learning, rather than just getting the grades by whatever means possible. It will be hard. It always has been. Cheating isn't new, even if the means have changed with the advent of LLMs. But what others do doesn't stop you from actually learning. Talk to your professors. Most of them probably want to help you learn.

Most important is to understand and verify everything for yourself. Do your own research. Compare multiple sources. Learn to think critically and carefully. And practice. Put your ideas to the test. Many just want the grades, but there are others who want to learn. Find them and discuss with them.

LLMs are unreliable and fraught with legal, ethical, environmental and social problems, but they are not useless. Maybe it is best for you to avoid them entirely for a while, until you get yourself sorted and learning for yourself. But then you might consider using them, skeptically: always reading, understanding and verifying or correcting what they produce. There is misinformation everywhere. LLMs produce it more profusely and sometimes more convincingly than people, but you must learn to evaluate and exercise your own understanding and judgement, no matter the source.

[–] percefia@lemmy.zip 1 points 3 days ago (1 children)

Thanks for your comment. I would like to follow blogs but I don’t know how?

[–] tangeli@piefed.social 2 points 2 days ago* (last edited 2 days ago)

First challenge is to find ones worth following. Sometimes when you search for something in particular, a blog will appear in the results. Sometimes when you watch or read something else, a blog will be mentioned. Link aggregator sites like lemmy, hacker news (I like brutalist hacker news), lobste.rs and similar often have links to blog posts. If you look up interesting people, you may find their own blogs or blogs by people who write about them. Interviews often include links or references to the guests presence online, including their websites or blogs, if they have them. Keep your eyes open. Watch and read what is interesting to you. You will find them.

Once you find an interesting blog, they almost always have a way to subscribe. Usually, you provide your email address and get an email when there is new content or some have an RSS feed. Sometimes you have to create an account. Sometimes content is free. Sometimes a paid subscription. Often a combination: some free teasers and a subscription for full or more interesting or in-depth posts.

[–] Zerush@lemmy.ml 4 points 3 days ago

Well, AI gan be a helpfull tool for some tasks in investigations in thousends of documents, astronomy, medicine, physics, etc. but certainly not for substituting the own intelligence, research, creativity or to create cat videos. You never can use AI in your research as is, without additional contrast the corresponding sources, it's not a toy for everyone, even if big corps include it recently almost everywhere, not to help you, but to spy on you and to train their own AIs with your inputs and data. You don't really need AI, the internet since decades works well without, even if you already have to research consulting several sources in your traditional web search, to learn to handle Photoshop or better, Gimp, Blender, Krita to create images, even if it cost somewhat more effort as writing a prompt, if you are online for some years it's also not so complicated to learn a second or third lenguage, even if it is only enough to communicate with others (Spanish, German and English (?) in my case) without the need of an translation tool (Deepl is proprietary and limited in the free version, Google, Bing are a no-go and OpenSource translations are crappy by default). It's always easy to avoid AI>a little effort and some common sense. There are things we need and things which are an artificial created need for the user, AI is the last one.

[–] AnitaBonita@futurology.today 4 points 3 days ago (2 children)

I use DeepL, which I don’t think is the same thing as a generative AI

It is. It's all AI slop.

I never used AI, that shit rots your brain and makes you a fucking crazy ass schizo who believes bat shit insane shit! Don't fucking start using AI! Would you try cocaine because it's cool? No? Same thing when it comes to AI!

[–] BottleBoardBakon@lemmy.ml 2 points 2 days ago

He don't be lumping cocaine in with generative ai, coke actually has valuable uses!

[–] tehevilone@lemmy.world 2 points 3 days ago

Not sure about that argument, coke does tend to be a lot more fun than AI usage.

[–] Signtist@bookwyr.me 2 points 2 days ago

It's not just AI - excessive convenience as a whole is addictive and degenerative to your motivation and ability. All you can do to combat it is to try to take the harder road just for the sake of it. Admit that doing things the easy way is more convenient, but choose to be independent instead, in order to stay out of the cage that the easy way leads to, where you lose your will - and even your strength, past a certain point - to escape.

It's difficult to do, especially at first, but it gets easier in time, and can come with better mental health to boot; the world is brighter when you interact with it directly - when machines and algorithms live your life on your behalf, you only ever really live in the world that they describe, not a true reality.

[–] SinAdjetivos@lemmy.world 2 points 3 days ago (1 children)

I’d like to relearn computer science, learn how to code, use Linux systems, and so on... but how?

The question I am left asking is "why"? What is your goal/reasoning for relearning computer science? I can't really provide any concrete suggestions without that.

Showing my age a bit, but I've had similar conversations around interpreted languages, IDE hand-holding and the "Arduino-fication" of embedded development. While there is significant value in understanding the inner workings of a thing and getting a solid grasp on the "deep magic" you can't know everything. If your goal is to bake an Apple pie you don't need to understand particle physics to the point of creating an universe.

AI has really brought out in me is a reluctance to do things

I would suggest strongly evaluating that reluctance and where it's coming from, it's unlikely to disappear just because you stopped using a specific tool.

Today I’m in college, and everyone uses it in graded group projects; no one follows the university’s guidelines,

Yep. You've run into the nasty secret of the "adult world". The only way to get ahead is to lie, cheat and steal your way to the top and anyone who believes otherwise, or claims it was different back in their day, is lying to themselves too. I do my best to try and live a good and moral life even when it would be smarter to just be performative instead. It's a balance your gonna need to figure out for yourself unfortunately.

[–] percefia@lemmy.zip 2 points 3 days ago (3 children)

Thank you for your comment. Sorry, I should have clarified that the learning in computer science was just for fun. I’d love to develop a video game, but since I don’t have enough time because of my communications studies, that’s one of the reasons I got into AI.

The thing is, I don’t want to study computer science or anything like that at a professional level. But when you say I don’t need to understand particle physics to bake a cake, in a way, yes. But if I’m watching videos that walk me through how to code a game step by step, did I make the game, or did the video creator? I had this same problem before 2023 when I watched videos to code a game, I’d listen to the video and copy the code, but I didn’t understand a thing, it wasn’t MY game.

Besides, I’m curious to know how computer science students from my generation (Gen Z) view everything related to LLMs, it must be kind of sad.

When I talk about reluctance, I was really just talking about laziness. At first, I saw AI as a tool, but as time went on, I basically handed over all my tasks to it, and as that happened, we lost our habits and no longer knew how to do things.

[–] Vittelius@feddit.org 3 points 2 days ago

If you follow a tutorial: Switch it up to make it yours. Make small changes. For example: If the tutorial is for a shoot 'em up where the camera scrolls top to bottom, make your game scroll right to left. Stuff like that forces you to think differently about the work, which should help you understand and retain the information better.

There are also interactive tutorials like this one from GDQuest for Godot: https://school.gdquest.com/courses/learn_2d_gamedev_godot_4/learn_gdscript/learn_gdscript_app

[–] SinAdjetivos@lemmy.world 2 points 2 days ago (1 children)

Thank you for sharing! Let me know if I'm reading into this too much; If you haven't already I would strongly encourage you to do some reading around Marx's theory of alienation and understand that is what I'm referring to by the term "alienation" because it sounds to me like that is your root problem here.

I don’t have enough time because of my communications studies

That's called being alienated from a productive activity, computer science, due to economic coercion. It probably is "smarter" to focus all your time and energy on your degree but that will absolutely make you sad, depressed and a perfect obedient automota. Understanding the forces that are you pushing you in that direction will better help you to navigate them.

if I’m watching videos that walk me through how to code a game step by step

In my opinion modern tutorials are the absolute worst when it comes to alienating individuals from their creative abilities. From everything you've said tutorials sound more harmful to you than AI usage.

I was really just talking about laziness

I generally find that within a broader culture of protestant work ethic "laziness" is generally just negative branding for "not overexerting oneself to the point of harm". I would encourage caution around that term.

From what you've shared let me propose a slightly different approach:

Focus on dealienating yourself from your means of production, your creative potential, your sense of self and sense of community.

Do not use any tools you do not control, generally understand and have the ability to modify/configure. Importantly learn to build your own tools. This doesn't mean no AI assistance but it does mean you are restricted to whatever you can run locally, that is is open source, and importantly you can read documentation and understand how it works. A game engine is a tool for defining a game executable which is a tool for turning data into entertainment. Godot, opencode, llama.cpp, blender, gimp and audacity are some good tools to start with.

No tutorials: learn to take an idea you have and design, architect and implement it in your own. It will be hard. The first couple of times will be a frustrating spaghetti mess. Do not be afraid to start over. Do the same with the art and audio.

Learn to listen to yourself and your body. When you get stuck on a problem learn to push through and build up that frustration tolerance. Be lazy where it matters. If your goal is to learn how to design and architect a project then it's fine to delegate the code writing. If your goal is to learn to write code better then it's fine to delegate to architecture and design. Same for art, music, etc.

Lastly you keep speaking very disparagingly of your peers. Stop it. Talk with and work with them. They will likely be going through similar things as you and together you can work to dealienate yourselves. It will be much more fun making a game with others and makes it so you can delegate to a person and help them instead of delegating to an AI.

[–] percefia@lemmy.zip 2 points 2 days ago

Thank you this a super interesting!

[–] StellarExtract@lemmy.zip 2 points 3 days ago

I think your example of following along with a tutorial is a good one. Why not do that again, but look up everything that's recommended along the way, so that you understand what you're doing? It'll take longer, but it will be more fulfilling and build more knowledge. Plus, you can always deviate from the tutorial a little to make the project your own.