Debian is polling its developers on whether to permit or ban "AI" contributions.
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@lproven @ferrix @joe RedHat (or IBM, however you wish to look at it) is so incredibly all-in on LLMs it's not even funny.
https://www.redhat.com/en/about/press-releases/red-hat-launches-llm-d-community-powering-distributed-gen-ai-inference-scale
https://www.redhat.com/en/blog/accelerating-open-source-development-ai
"Red Hat believes that AI offers tremendous opportunities for open source projects and contributors. " -
@lproven debian has a ban on contributions in general, I have a few cool little command line utilities and programs I wanted to contribute and found out it would take a 3 year certification process where I had to travel around the world exchanging usb keys to be allowed to and would only succeed if , after it all, one of them was willing to 'bless' me.
I honestly have no idea how ANY of the packages in debian got there, but I can TOTALLY understand when projects host there own packages.
@RueNahcMohr @lproven The trouble with LLM code in a project like debian is simple, deep, and obvious.
If someone is using an LLM instead of learning, providing official feedback to the LLM instead of growing, and providing the LLM's reply to the feedback instead of engaging...
You're not training the next generation of developers. You're training a model.
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@RueNahcMohr @lproven The trouble with LLM code in a project like debian is simple, deep, and obvious.
If someone is using an LLM instead of learning, providing official feedback to the LLM instead of growing, and providing the LLM's reply to the feedback instead of engaging...
You're not training the next generation of developers. You're training a model.
oh there are tonnes of issues, mostly that AI code is being accepted into the kernel debian is using. I dont know if thats better or worse than all the sabature coders who have been pushing exploits and garbage into the OSS community for over 10 years.
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I am asking myself what happens to the past LLM contribs. And cintribs which indirectly contain LLM code.
I personally find this debate hysteric. Because people will silently use offline LLMs for this and that and lie about the usage.
From my point of view the new situation is asking on how to do quality management in future. It’s asking about us needing new tools for admins. Better classifiers. Code Quality Scores.
How do you want guarantee a ban? This is just theory.
@jackpearse @lproven Jaded a tad?
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@jackpearse @lproven Jaded a tad?
@mildpeach @jackpearse @lproven He had one PR rejected as a false positive (which is unfortunate) and now has to reply to everyone at once, complete with the old "what about this completely different thing also called 'AI'?" saw.
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@lproven @ferrix @joe RedHat (or IBM, however you wish to look at it) is so incredibly all-in on LLMs it's not even funny.
https://www.redhat.com/en/about/press-releases/red-hat-launches-llm-d-community-powering-distributed-gen-ai-inference-scale
https://www.redhat.com/en/blog/accelerating-open-source-development-ai
"Red Hat believes that AI offers tremendous opportunities for open source projects and contributors. "I'm aware. I wrote an article about it:
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P pelle@veganism.social shared this topic
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@jackpearse
> Once a hand made pull request of mine was rejected because of a „feeling“.that's really sad.
a great anti-AI cartoonist (who posts on fedi) is also being labelled by instagram as »likely to be AI«.
yes, you have to assume the best from others!
but that is made difficult, because those who share AI slop often deliberatly don't disclose it (whether code, images, websites or videos, ...) making everyone suspicious.
perhaps doing a few openly anti-genAI posts on masto should help others know where you're at?
if we compare again with veganism: it would be difficult to be vegan if every kitchen deliberately lied about putting animals into food! but, also, vegans either eat at venues that are clearly labelled vegan — or they ask about the ingredients three-four times to make sure.
But that is not the issue here. In open source it was always about trusting the conteibutors. And it is commn sense, that the scen does not want it. And still the amoint of contributions now is so highe that it seems to be a problem.
Even when you oficially ban it, it will not chnage the situation. LLMs made it possible for non developers to contribute code. Even to people who don’t even understand the code. A highly educated group of people was extended by strangers1/2
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@jackpearse
> Once a hand made pull request of mine was rejected because of a „feeling“.that's really sad.
a great anti-AI cartoonist (who posts on fedi) is also being labelled by instagram as »likely to be AI«.
yes, you have to assume the best from others!
but that is made difficult, because those who share AI slop often deliberatly don't disclose it (whether code, images, websites or videos, ...) making everyone suspicious.
perhaps doing a few openly anti-genAI posts on masto should help others know where you're at?
if we compare again with veganism: it would be difficult to be vegan if every kitchen deliberately lied about putting animals into food! but, also, vegans either eat at venues that are clearly labelled vegan — or they ask about the ingredients three-four times to make sure.
@pelle If you create a ban, people will will lie more. Places where LLM constributuons are not banned, they are marked as LLM content. And then the team can talk about it. And wether that contribution is worth commiting or not.
I think the ban will not solve the issue. I am sure it will worsen the situation. It will male a lot of people to lie. And it will create a taboo to talk about LLM use. Even indirectly. And hiding it will not make it better.
We need new admin tools!
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@jackpearse
> Once a hand made pull request of mine was rejected because of a „feeling“.that's really sad.
a great anti-AI cartoonist (who posts on fedi) is also being labelled by instagram as »likely to be AI«.
yes, you have to assume the best from others!
but that is made difficult, because those who share AI slop often deliberatly don't disclose it (whether code, images, websites or videos, ...) making everyone suspicious.
perhaps doing a few openly anti-genAI posts on masto should help others know where you're at?
if we compare again with veganism: it would be difficult to be vegan if every kitchen deliberately lied about putting animals into food! but, also, vegans either eat at venues that are clearly labelled vegan — or they ask about the ingredients three-four times to make sure.
I think you also cannot compare code with vegan. And meat wirh AI.
AI is more like Drugs. That would be the more appropriate comparison. And we all know from drug politics, that, if you forbid to consume it, it becomes illegal and moves to the undergroud. And becomes a worse problem.
Where drugs are legal, controlled and treated with a good health support, drug use became less.
I am sure AI use is like a drug. And becomes worse the more you ban it.
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I think you also cannot compare code with vegan. And meat wirh AI.
AI is more like Drugs. That would be the more appropriate comparison. And we all know from drug politics, that, if you forbid to consume it, it becomes illegal and moves to the undergroud. And becomes a worse problem.
Where drugs are legal, controlled and treated with a good health support, drug use became less.
I am sure AI use is like a drug. And becomes worse the more you ban it.
@pelle And if you see AI like a drug, you need to ban the meth lab. Not the user. Baning LLM use is like a social media ban for young people. Or chat control. It never helped if users were banned.
The problem is the vendors who provide the AI services. And I am very convinced that the only way to nail this is a very strong and powerful tool which can strongly support admins and maintainers with low overhead to spot ugly code.
Then only usefuls candidates need review.
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@RueNahcMohr @lproven The trouble with LLM code in a project like debian is simple, deep, and obvious.
If someone is using an LLM instead of learning, providing official feedback to the LLM instead of growing, and providing the LLM's reply to the feedback instead of engaging...
You're not training the next generation of developers. You're training a model.
@Longplay_Games @RueNahcMohr @lproven you are missing the fact, that when learning yourself, tradcoding, expanding understanding, you also contribute to llms, even more i would say: your output is a compost for them and it makes them stronger. no license or ban will prevent it. until it's acked, there can't be an effective solution. and solution will be much more radical than Stallman was in the 80ties, i predict.
