Nobody said anything about enforcing it. Just put it in the contribution guidelines!! Like for fucks sake, this is like saying you shouldn’t have a law saying you can’t murder people out at sea because it’s impossible to police. The threat of action is half of the reason people don’t do bad things. There’s ZERO REASON to not have it in the guidelines.
Sure, but that doesn’t mean that it can’t go into the contribution guidelines. If they don’t listen then ok, you remove commits that have claude watermarking. Without that guideline you can’t stop the PRs at all.
what can they do despite ban LLM usage altoguether (and per consequence get LLM generated code submitted anyway), they can’t have a blacklist for models, or force contributors to run them on their local hardware.
But they can? Like OP pointed out, wine forbids contributions from those that have seen Windows source code. How in the world are they supposed to enforce that? Turns out the open source community is pretty good at self enforcing.
Not really. The output of LLMs is massively increased global warming, increased prices of goods and services, decreased number of jobs, increased numbers of bugs in software, massive increase in wealth migration from poor to the rich, and increased surveillance. None of that has to do with the quality of the users. Just using it at all results in all of those things.
In what world is a production codebase 75k lines. A single project at my last company was 1.4 million lines of code. Every single one of our microservices had more lines of code than that. And just my team was responsible for 50+ microservices. And thirteen tokens per line is hilariously low.
Holding a week of chat in your head is nothing when 90% of it is stuff that is incorrect or discussed and minds changed. This is exactly why my boss keeps saying conflicting things, the LLM doesn’t know what is true or not. It just regurgitates the random thing from context.
It sure is useful at making my boss post a lot of conflicting things because AI can’t understand context at all. “Force multiplier” doesn’t mean it’s multiplying good things. It can just as easily multiply nonsense.
Module resolution is a pretty solid reason as to why it’s bad.
Java doesn’t have aliases, but Kotlin does! (Kotlin is just better Java)
someone above listed exactly why Python’s is so bad. it’s pretty bad compared to most other solutions, even ruby’s, which isn’t as good as modern solutions.
and also the calculator is actively destroying the planet.
Your points are correct. If they were about an irreplaceable library where there were only one or two options then yeah that’d be fine.
But there aren’t. This is a Linux “distro” with a thousand other options. It’s literally just a Linux distro with a few dot files added. There’s zero reason to ever use this distro.
The article is about how everyone uses status pages nowadays…
I’m just gonna hope you’re joking and not that your username is an accurate description.
Knowing when someone is at your doorbell without ringing the doorbell is pretty useful. Same for knowing if your dog got out, or a number of other things. I don’t like sharing my neighbors data with Amazon or the Feds, so running it all locally is perfect. I get to control how long any data is kept for, what it scans for, and none of it leaves my property.
That still isn’t as good as just saying the hours…
The Internet archive doesn’t have an entire data center just for archiving is what I’m saying. Not that they don’t use data centers.
What on earth am I doing what for?
Which still doesn’t require as much energy as LLMs do. I run exactly that on my own server at home. And my unifi system does it on video all locally with no GPU at all. Video processing for identification is incredibly cheap and easy from a computer processing standpoint these days. You literally can do it on a raspberry pi.
They’re definitely not. Hard drives use a fraction of the energy a single LLM prompt does. A study calculated that every 100 words uses an entire water bottle’s worth of water. That’s a lot of cooling for 100 words. It’s very likely that these companies use several gpus for every single prompt, meaning huge servers for just a few users.
Meanwhile the internet archive has archived a significant portion of the internet with nary a data center in sight.
You can compress video. You can’t compress the energy needed to generate output.
Anyone talking about AI in any context in a normal forum nowadays is discussing LLMs. Nobody cared about machine learning or neural nets that were actually being used for their designed purpose.
Ignoring McDonald’s entirely, what chain restaurant doesn’t have meat on the menu?