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this post was submitted on 01 Aug 2026
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Eh, I don’t think it’s hypocritical to contribute to a commons and then get mad when someone comes along and tries to use the commons to undermine the commons.
Like yes, the commons is there to be used… but not to kill the commons.
https://www.citationneeded.news/free-and-open-access-in-the-age-of-generative-ai/
It's kind of a tragedy if you think about it
Really? In front of my Elinor Ostrom poster?
The most important thing is to protect the people's right to use open source / weight AI models without licensing. Because the AI companies permanently monopolizing AI models and collecting rent forever on the commons, that would be a tragedy. It would forever shift the balance of power to use advanced technology.
I'm not using AI.
Well truly profitable applications for LLMs are pretty limited so far, but they will come. Lets say you can replace a tax advisor / accountant with a specialized LLM agent (one that doesn't hallucinate tax code lol). Imagine oyu have an open source project that uses a coding AI agent to frequently update and retrain the tax LLM with the new regulations and laws and unit tests all this. So it's ultimately easy to use, you just talk to the tax AI agent. Or alternatively, because they managed to make open weight LLMs illegal because they are piracy because they use books and posts without permission to train and can't afford to pay the license fees. Now everybody has to use a commercial AI tax service. At the same price at what it cost previously to hire a real human.
As AI models get better they replace human labor. This is a problem under capitalism, otherwise we could just all just be working less and chill. But it gets even worse if "we" (like the 99%) can't make use of open source models. Then the plutocrats get to own this newly replaced labor as free labor and collect rent.
This is why I believe the IP argument of anti-AI is so dangerous. They can afford to pay license fees, we / open source can't. See patents, or see healthcare insurance purposefully making healthcare costs go up.
That's all well and good, but AI makes me want to die, so I'm not using it.
LLMs training on data don't prevent anyone from themselves learning on that data, so I don't see how the commons is going to be killed here.
It heavily dampens the feedback loops which lead to new contributors joining. If more people feel encouraged to just let an LLM hack something for them then fewer things are learned by fewer people, less knowledge is developed and propagated, etc...
And more of that which was shared is worse because there's no quality control in those sharing pipelines, and ironically more ego behind it when the sharer has done less (see: that person in the group project who did nothing useful and took all credit)