I asked this question ages ago and it was pointed out that “sub” isn’t a reddit specific term. It’s been short for “subforum” since the first BBSes, so it’s basically a ubiquitous internet term.
“Sub” works because everybody already knows what you mean and it’s the word you intuitively reach for.
You can call them “communities” if you want, but it’s longer and can’t easily be shortened.
I just call them subs now.
After checking out more options, I think forgejo looks like a good place to start.
Thanks, yes, I’d far rather stick with a familiar and ubiquitous system unless I see a reason to switch. Thanks for the suggestion, I’ll keep it in mind.
After looking at that list, I think forgejo or gitea are what I’m looking for. I would prefer to stick with software as open as possible, so forgejo looks like where I’ll start. I love that they’re involved in federation and have a collective governance structure.
Oh, yeah, I meant open-core, not closed-core, but I’m still leery of software where they close off portions to make you want to pay. It gives them an incentive to make the open part of it worse.
Okay, maybe it won’t be my first port of call then.
Okay, thanks for the heads up.
A quick search found this: https://trac-hacks.org/wiki/TracKanbanBoardMacro
Looks like there are others too, I’ll play around and see what works for me.
Okay, I wasn’t able to review your links before so I just focussed on answering your question.
Trac looks the most promising of everything I’ve seen so far, I like that it’s minimal and also does basically everything I’m looking for in one place. I’ll give it a try first.
Thanks so much!
Okay, I’m looking into that, thanks. The open-core model is a little concerning for me - one of the things I hate about the proprietary stuff is all the gatekeeping you have to deal with, but if the other possibilities don’t pan out I’ll consider it.
Oh good question. I’m using it for personal software development, tracking new features, bugs and documenting my research.
I mostly use the kanban board view. I’ve wanted to add Confluence documentation pages but didn’t want to pay.
I’ll also be developing hardware soon.
Yup, no worries, i just appreciate the way he does things and wanted to share the info :)
Just fyi, Randall who makes xkcd has a very permissive approach and offers hotlinks on the site for easy embedding. I think he prefers that you hotlink rather than reupload.
I keep seeing people talk about Rust, and to be honest I never thought much about it because I’ve never had a reason to use it.
But when so many people in a programmer meme sub are saying “actually no joke Rust is amazing” that makes me pay attention.
So I looked into it and found this: https://github.blog/2023-08-30-why-rust-is-the-most-admired-language-among-developers/
I’m doing my part I guess ¯\_(ツ)_/¯
Ah, thank you, that makes a lot more sense. I guess I could’ve done like… the bare minimum of research or something.
Uuuhhhhh wait. So there have been 17 new versions released and people with 7.6 installs just missed it? I think I still have a 7.6 install and this is the first I’ve heard of this. I would love to know the history of how people are being advised to go from 7 to 24.
It’s definitely a qualitative shift. I suspect most of the fundamental maths of neural network matrices won’t need to change, because they are enough to emulate the lower level functions of our brains. We have dedicated parts of our brain for image recognition, face recognition, language interpretation, and so on, very analogous to the way individual NNs do those same functions. We got this far with biomimicry, and it’s fascinating to me that biomimicry on the micro level is naturally turning into biomimicry on a larger scale. It seems reasonable to believe that process will continue.
Perhaps some subtle tuning of those matrices is needed to really replicate a mind, but I suspect the actual leap will require first of all a massive increase in raw computation, as well as some new insight into how to arrange all of those subsystems within a larger structure.
What I find interesting is the question of whether AI can actually fully replace a person in a job without crossing that threshold and becoming AGI, and I genuinely don’t think it can. Sure it’ll be able to automate some very limited tasks, but without the capacity to understand meaning it can’t ever do real problem solving. I think past that point it has to be considered a person with all of the ethical implications that has, and I think tech bros intentionally avoid acknowledging that, because that would scare investors.
You’re describing an arms race, which makes me wonder if that’s part of the path to AGI. Ultimately the only way to truly detect a fake is to compare it to reality, and the only way to train a model to understand whether it is looking at reality or a generated image is to teach it to understand context and meaning, and that’s basically the ballgame at that point. That’s a qualitative shift, and in that scenario we get there with opposing groups each pursuing their own ends, not with a single group intentionally making AGI.
I also just learned of it.