oh great, ai generated pixel art.

i mean python is 99% backwards compatible so as long as you tell your tooling you’re working with 3.10 it will warn you about using stuff that’s too new. that’s why the shipping version is usually enough. in general it’s not recommended to have multiple versions of python3 installed at the same time, but if you are a habitual venv user it’s usually not a problem. however i have also run into the issue of some versions being “too new” for a project, where the thing just would not work with newer versions.

basically, if your issue is only that you don’t want to “contaminate” an older codebase, that can be solved by configuring your tooling. but if your issue is that the thing just doesn’t work with the “wrong” version, you’re probably best of using a container. a user installation of the version you want will work but having multiple installations is annoying.

use something like uv to install whatever python version you want and set up a venv with it. that way you can have project-specific python versions.

for this to be accurate superman would need a ball window

gta2 is still my favourite of the series. the first game was so damn janky that i could barely play it but the second one is smooth as butter, and with the artstyle they chose it looks really unique.

interesting conclusion, maybe you should publish? you seem to have more info than they did ten years ago.

here’s one. it’s a paper from microsoft research researching why so many scammers say they are from nigeria, but the same premise applies:

Far-fetched tales of West African riches strike most as comical. Our analysis suggests that is an advantage to the attacker, not a disadvantage. Since his attack has a low density of victims the Nigerian scammer has an over-riding need to reduce false positives. By sending an email that repels all but the most gullible the scammer gets the most promising marks to self-select, and tilts the true to false positive ratio in his favor.

i feel like this should take into account the month when the program was compiled, or at least when its process started.

people just wanted an excuse to say a slur, no matter what it was for. at least that’s what it seems like.

most procedural algorithms don’t require training data, for one. they can just be given a seed and run. or rather, the number of weights is so minimal that you can set them by hand.

generative ai is a subset of procedural generation algorithms. specifically it’s a procedural algorithm with a massive amount of weight parameters, on the order of hundreds of billions. you get the weights by training. for image generation (which i’m assuming is what was in use here), the term to look up is “latent diffusion”. basically you take all your training images and blur them step by step, then set your weights to mimic the blur operation. then when you want an image you run the model backwards.

no apology necessary, i find it an interesting question. i was aware of things like worldedit but using a pure voxel editor for terrain work is new to me.

i think the relationship is probably reversed here though, it’s more likely that tools like avoyd can be made to export things for use in luanti and/or bonsai.

but those tools are built for minecraft right? this is a different system with (presumably) a different format, and from what i can see, no builtin terrain generation algorithm. it would be easier to just build one in luanti.

how?

luanti is an engine and so is bonsai. i don’t think they can be “used together”.

i assume that “it’s real” thing would have been more impactful if i knew anything about disney parks.

the only documentary i know that has a twist in it.

why is she burning that bald man

point being that the active firefox forks are heavily dependent on upstream, just like the active chrome forks. if firefox dies, the forks die, unless they can scramble the 400ish full-time devs seemingly required to keep gecko current.

sounds like you want this thing but smaller