Unless you need to work on a solution with more than a few projects, such as Unity games. Then the LSPs go haywire and eat 20+Gb of memory, while not actually working.

Which, ofc, is Microsoft’s fault, since it’s their analyzer that has had the bug for years now. Rider didn’t have that problem, but it shits itself when you change branches. You can’t win :(

Nope, thermostat (yes, that thing that has one "if temperature < XX, turn on heater) is literally considered an intelligent agent, as defined by the actual field of Artificial Intelligence, it’s one of the first examples taught on the most basic of courses.

You should really go do your homework about absolute basics of AI field before insulting random people that at least have a semblance of knowledge about the field, other than “AI hype, AI cool”.

People like you are insulting the whole field of Artificial Inteligence, so please stop spreading bullshit about it before you get good (or at the very least, don’t be a dick about it, when people try to educate you). You probably had no idea the field even exists two years ago.

Literally yes. Thermostat (yes, the thing that turns your heater on if temperature is lower than XX) is considered an inteligent agent in the field of artifical inteligence.

The fact that you have a bunch of techbros who have no idea about what the field is about and are hyping the words because they sound cool changes nothing about it being a regular established academic field.

Oh boy, you have a lot to learn about what Artificial Intelligence actually means for people who have been in academia or gamedev for the past 20 years.

Please, whatever you eventually choose to do, make sure to continually reference this amazing website whenever you are implementing any interactable part.

https://cheatsheetseries.owasp.org/

It has cheat sheets for securely implementing everything from login forms, preventing common vulnerabilities (at least look at sheets for Top 10), forgoten password flows, storing passwprds and more.

From the top of my head, If you are building it from a scratch without a framework, you will definitely want to at least look into cheat sheets about input validation, injection prevention, password storage, session management, file upload and authorization with authentication.

They are not that long, and should prevent the most critical and common vulnerabilities you will probably have, where the prevention isn’t too difficult, once you know about it.

The issue isn’t whether you can get a good results or not. The issue is the skills you are outsourcing to a proprietary tool, skills that you will never learn or forget. Getting information out of documentation, designing an architecture, understanding and replicating an algorithm, etc.

You will eventually start struggling with critical thinking, there are already studies about that.

Of course, if you use it in moderation and don’t rely on LLMs too much, you should be ok.

But how did that work for everyone with short-form content and social networks in the last ten years? How is your attention span doing? Surely we all have managed to take short-form content in moderation, since we knew the risks to our attention span, right?

I’ve switched to vim on a whim few months ago, and it still is a pretty fun and satisfying experience. I couldn’t get LazyVim to properly work on our Unity project, since the LSP can’t handle the hundreds of projects it generates, but IdeaVim in Rider works pretty much the same, as far as the movements are considered.

However, the important thing is that I said fun and satisfying, not faster and efficient. I still make mistakes, I have to look into a keybind reference sheet every time I want to do something I’m sure has to have a special keybind but I’ve forgotten which one it is, but once you do that it feels good.

Slowly but surely learning new stuff, getting the hang of some motions you use often, not having to reach for your mouse, all of that feels good. It’s still no way near the speed or efficiency of me just clicking the damn mouse, instead of fumbling around with VIM modes, undoing random actions because I missed one important key and now half of my text is gone, or just remembering that your clipboards get overridden by almost any action unless you do it differently.

So, if you want to get efficient and quicker in your programming, I highly recommend checking the keybind section of your IDE, and learning the few important keybinds it has, such as jump to next function/next parameter, search symbols, and the like. That will make you more efficient.

If, on the other hand, you want your editing to be a skill you can slowly continue mastering, eventually (after years of use) min-maxing, but always having some cool new things to learn that will feel good, them vim is pretty nice for that.

Just don’t expect it will make you faster or more efficient.

Agreed, the AI part is questionable, I linked it mpstly because it’s mostly funny, plus I learned something new, tho I defo wouldn’t take it too seriously.

Also, no marquee :(

https://justfuckingusehtml.com/

I don’t think you need any active sabotaging in this regard. I’m not really worried about the future of LLMs, because we are already at a point of feedback cascade where thanks to LLMs, more and more of content they steal from the internet has been AI generated by them anyway, which will eventually cause the models to collapse or stagnate. And besides, you wouldn’t be able to sabotage at a scale required for this. Thankfully, the spread of fake AI generated websites and content it has enabled is so massive, that it works as well.

I’m looking forward to that.

This… Is actually unironically the best argument I’ve heard in favor of AIs so far, that I haven’t thought about.

Still - the thing you’d be doing instead is feeding money and attentention to AI bros, and that’s probably even worse than any job you could be micro sabotaging.

I did Software Engineering Bachelors and then gamedev masters, and while I didn’t really appreciate it at the start, since it felt like I’m learning a lot of stuff I’d never need, I’ve eventually come to be really glad that I did it.

Throughout the classes it felt pretty meh, I didn’t understand why I have to do so much stuff that I’ll never really use, and always felt like I’m just forgetting 90% of what I was taught the moment I was done with finals for that class. Why do I need to learn Smalltalk? Why Lisp? What even is Prolog? Does anyone even do UML anymore? I want to be a C# programmer, I don’t need this.

And it was true. From most of the languages I’ve had to go through, I don’t remember almost anything. But that’s not what it was about, and that’s something I only came to appreciate with time - it was not about learning Pharo or Prolog, it was about overcoming the initial learning curve and getting somewhat familiar with OOP or formal-logic style of languages. And while you forget the details, the familiarity will stay with you. The goal is not to make you a Prolog programmer, but to make you a programmer.

I’ve eventually realized that I can pick up any language pretty quickly, no matter what it is - because I’ve already seen and learned all of the different styles or types of languages there are, and no matter what it is, it’s similar to something I vaguely remember seeing somewhere. And that’s an immense help. I picked that up naturally, I’ve kept hearing the question “what programmer are you? What language you can program in?”, and it felt weird - sure, I do know the most about C#, but I never had issues with picking up whatever was close at hand or needed, and writing anything I needed with a little bit of documentation and googling. And it was thanks to what I learned in school.

And the same applies to the math and data structures that they hammer into you. Do I remember the difference between red and black tree, or a min-heap, and can I prove it? Not really, but I know they exist, and when I see a problem that sounds like it could use some obscure data-structure, it comes to my mind and I know what keywords to look up. And that’s a skill that I’ve notice is missing from most of the people who didn’t have formal CS background. Same goes for algorithms like FFT - you know it exists and what it’s used for, and seeing a problem that could use it will trigger your PTSD.

So, I highly recommend giving college a try. You will learn a lot of cool algorithm, and some of the classes were fascinating, and it will give you a vague overview that will stay with you throughout your carreer, feeding you with keywords about stuff that might be usefull for the problem at hand. It’s the best thing I’ve done in regards to programming.

Ooh, that’s actually a good idea, just installing it on a separate removable drive, copying it over and seeing what works. Thanks!

I mostly wonder whether I would be able to just copy and paste /home from Nobara to Bazzite, and apps like steam or lutris/wine games would keep working, or if it’s more complex than that.

I’m planning to do that, I’ve been running Nobara for the past year, but I don’t have /home on separate partition and Idon’t want to bother with moving data, so I’m postponing it. What are the advantages, are is there something I should watch out for before switching?

I bought a Legion Go last week, and so far I’m really happy with it. The first thing I did was delete Windows and install Bazzite, and from that moment everything was smooth. The larger size is nice, and so far I had no issues running games pretty comfortably.

While I haven’t read the paper, the comment’s explanation seems to make sense. It supposedly contains a mathematical proof that making AGI from a finite dataset is a NP-hard problem. I have to read it and parse out the reasoning, if true, it would make for a great argument in cases like these.

https://lemmy.world/comment/14174326

It was only two years, and it was basically half nornal computer science classes, and half working with engines, making a game with classmates and mentors from the industry throughout the year, and learning about rendering, AI behaviors (the videogame kind, not LLMs). The graphics part was about shaders, lighting, post-processing, global illumination, renderers and math, not modeling. It was mostly technical, but we had some game desing classes.

Having AI not bullshiting will require an entirely different set of algorithms than LLM, or ML in general. ML by design aproximates answers, and you don’t use it for anything that’s deterministic and has a correct answer. So, in that rwgard, we’re basically at square 0.

You can keep on slapping a bunch of checks on top of random text prediction it gives you, but if you have a way of checking if something is really true for every case imaginable, then you can probably just use that to instead generate the reply, and it can’t be something that’s also ML/random.

I forgot to add that I had a Masters in Game Development and Computer Graphics, which definitely helped, but I still learned most of my gamedev skills by regularly attending gamejams and working on my own projects. I’ve also started working in gamedev for the past year, and I wouldn’t say that it teaches you much, since you are missing out on 80% of actuall development and only crunch JIRA tickets and bugfixes, as a junior that is, without being exposed to the more important parts or other skills. Assuming you join a larger studio with game in progress, in an indie studio with team of 10 people, you’ll probably have a lot more responsibilities and impact on other stages of the game’s development.