The process of deciding that one thing needs to happen after another in a certain way given a certain scenario, etc.

But the design stuff is a little heavy.

So everybody is different and learn different things at different paces and different depths.

And you just have to try it to see what you'll be to and want to spend time doing.

yep, also, don't worry too much about "bad code" for as long as your stuff doesn't depend too directly on each other. For as long as you can just grab one part and totally replace it you are good. especially in game dev.

can someone teach me how to animate a unit in the shotcaller style?

I want to animate this musketeer.

we can make a call...

Oh sure we can do that, but let me sleep for a while since I been awake for like 4 or 5 hours during the night.

sure .. just dm me when u r ready

I might be interested in this. What version of Blender does the courses uses?

Yeah I probably will pick this bundle up.

I assume the latest

Hey just joined the community. I'm currently a python/golang dev learning rust and already love the language but have honestly no experience in game dev.

Hey there! Welcome to the community. In a lot of ways game dev isn't that different from other kinds of programming, so you can just pick up how things work as you go. That's what I do with pretty much everything. :)

I'll start learning Bevy, the website have some good tutorials it seems.

Another great resource to have on hand is the unofficial [Bevy Cheatbook](https://bevy-cheatbook.github.io/).

I'm sure all you pros already making multiplayer games on godot

Hi @Zicklag! You might remember me from the WASM / ECS / Flecs discussions (I maintain flecs-polyglot). I noticed you liked this repo recently (https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers) about Bayesian probabilistic programming. I was wondering what your current interest is in this topic, and if you've heard about active inference and the free energy principle. I also currently work in this field. I was wondering if you had any thoughts about using deep learning AI for game AI / NPCs, and would love to discuss it with you, as well as how we can implement it, either with current LLMs / reinforcement learning or in the future with a Bayesian neural network.

Hey @rou, yeah I remember. :)

I have a funny relationship with machine learning.

I've known a bit about it for years, read quite a few tutorials, pieces of courses, books, etc., but not really gotten enough time to focus on it and do any real experimenting, which means my practical know-how is pretty low.

I've just like day-before-yesterday decided that I'm going to have to start just experimenting with stuff, even if I don't understand all the theory.

I don't have a heavy math background, so while I'm competant in general and can make sense of a lot of stuff, even the notation in some cases, I lack context.

I just discovered Gaussian Processes through the [chapter in the D2L course](https://d2l.ai/chapter_gaussian-processes/index.html), and thought they seemed really cool, and searching for that on GitHub brings up some stuff on Basysian Optimization, and searching for that brough up that book, which I read half or so of the first chapter to get the basic idea.

In summary, I'm not probably good at any of it ( yet! ), and desperately lacking practical experience, but I have a great interest in it, and would be happy to discuss things, still!

I want to get my hands dirty and actually start making things, and I could definitely use that for at least Jumpy AI, which is going to need some real improvement eventually.

@kimbring2 has worked a lot with AI in games.