The smallest footprint for an actual scripting probably will be posix sh - since you already have it ready.

A slightly bigger footprint would be Python or Lua.

If you can drop your requirement for actual scripting and are willing to add a compile step, Go and it’s ecosystem is pretty dang powerful and it’s really easy to learn for small automation tasks.

Personally, with the requirement of not adding too much space for runtimes, I’d write it in go. You don’t need a runtime, you can compile it to a really small zero dependency lib and you have clean and readable code that you can extend, test and maintain easily.

haven’t actually proven to be effective at stopping cheaters

This is what OP said, and it’s completely correct. It’s not that much impact in comparison to “regular” anti cheat systems. And both of those only detect either cheap/bad or known hacks.

Server-sided and data based anti cheats is what would actually be a huge step up. You’re running a 8 K/D in a game where the best players are between 1-2? Banned. You just flicked two enemies within 100ms? Banned. Suspicious activity that’s not that blatant needs to be reviewed.

The thing is - that’s fucking expensive, complicated and needs to be done one a per-game basis, and since its just cheaper to throw you under the bus with a kernel anticheat and claim it’s the best one, that’s being done.

Read up on the dangers.

Anything is beatable, hackable and abusable given the time and resources, and it shouldn’t be my system because some idiotic management took the decision to enforce ring0 access anti cheat to ban some percent more hackers.

No one said that anti cheat efforts do not make an impact, but the impact of ring0 anti cheats is massively overrated

Right, completely forgot that locking exists in SVN, and I guess it definitely makes sense if you’re collaboratively editing unmergeable files.

Thanks!

Serious question, why do they use SVN, as in what does SVN better than Git for the department using it?

It’s not surprising per se, but it’s something that people should be more aware of. And a lot of this consumption is not providing global services (like the Google search or workspace suite) but the whole AI hype.

I didn’t find numbers for Google or Microsoft specifically, but training ChatGPT 4 consumed 50 GWh on its own. The daily estimates for queries are estimated between 1-5 GWh.

Given that the extrapolation is an overestimate and calculating the actual consumption is pretty much impossible, it’s still probably a lot of energy wasted for a product that people do not want (e.g. Google AI “search”, Bing and Copilot being stuffed into everything).

Please don’t take personal offense, but you have merely a project scaffold with an unrealistic goal that will be blocked and C&D’d into the ground, without any other projects created.

It doesn’t matter how hard you’re working on your anonymity, this project will be ripped apart by a horde of lawyers in seconds. You’re not only doing something questionable or against ToS, you’re directly attacking and sabotaging their monetization. This will not be taken lightly by the legal team of reddit.

You want to provide a better, cooler, more robust and other random buzzwords API than the own of reddit. So, you alone, want to provide a better API than the whole team of reddit does for their absolute core product, all by scraping. This is simply not realistic.

While we’re at the topic of monetization, scraping, ETL into your own model and providing the API - for the amount of content that reddit has (quantity, not quality) this will be a highly resource intensive task. How do you plan to fund that, since your API will be better than the official one, I can expect at least the same performance as well, right?

And also, most importantly, even if you magically achieve working around all that and get that working - why? Who is your expected user group? Pretty much every software using reddit moved away from reddit or simply has died. AI gen content is rampant, and most discussions seem like bots talking to bots. There is literally nothing to gain from an API to reddit - so why would anyone bother using it?

It might be, but to be fair, that’s what the glorified autocompletion is actually good for, if it’s actually used a supporting tool, and not to pump out quantity over quality.

Man, the disclaimer at the bottom that Business Insider is partnered with OpenAI to allow them to train on their articles is really the cherry on top.

Or you can just use vscodium.

If you use a dockerized environment, that will only work better on Linux. .NET8 is AFAIK natively supported on Linux, so there shouldn’t be too much of an issue apart from the usual clunkyness. Visual Studio will probably be more of a problem. The “easiest” way would probably be to switch to jet brains or vscode. If you are hardstuck on VS for whatever reasons, you probably should be able to do some voodoo with running it in docker and using the container as a remote desktop, but this will be PITA to setup and maintain.

The color scheme and the bug keycap have been the single reason to buy it, ngl

Yeah, Gateron Silent Reds are basically “off brand” Cherry MX reds, with same specs. I’ve read that they are supposed to be a bit smoother, and definitely can confirm that, they definitely feel very smooth without any additional lubing

Well, guess how the comfy OK Google or hey siri works, hearing you while you say it all across the room. Or that noise cancelation for your calls. Admittably, the way he’s put it sounds really tinfoil hat weird, but he’s got a point there.

Any current mobile phone is so very crammed with sensors of any kind, which do make a lot of features possible/usable/comfortable and the same sensors may be used to track a good lot of your behavior, if used for malicious purposes. And we know that for a fact with targeted ads, where several people I’ve talked to noticed the same, where that even talking about a topic may be enough for ads to be show up. Check https://adssettings.google.com/ for example, it’s actually scary what Google “assumes” about you, and even scarier how on point those assumptions are. A lot of this information is sourced from your devices sensors, and the argument of “there’s just not that much computing power to process this data” is simply not valid anymore.