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I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I agree. However, I think the natural conclusion is an LLM ban. See also here.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
If you would have written it yourself the same way, why not write it yourself? (And there was autocomplete before the age of LLMs, anyway.)
The big problems start with situations where it doesn’t match what you would have written, but rather what somebody else has written, character by character.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
Ultimately, the policy legally anchors every single line of AI-generated code
How would that even be possible? Given the state of things:
https://dl.acm.org/doi/10.1145/3543507.3583199
Our results suggest that […] three types of plagiarism widely exist in LMs beyond memorization, […] Given that a majority of LMs’ training data is scraped from the Web without informing content owners, their reiteration of words, phrases, and even core ideas from training sets into generated texts has ethical implications. Their patterns are likely to exacerbate as both the size of LMs and their training data increase, […] Plagiarized content can also contain individuals’ personal and sensitive information.
https://www.theatlantic.com/technology/2026/01/ai-memorization-research/685552/
Four popular large language models—OpenAI’s GPT, Anthropic’s Claude, Google’s Gemini, and xAI’s Grok—have stored large portions of some of the books they’ve been trained on, and can reproduce long excerpts from those books. […] This phenomenon has been called “memorization,” and AI companies have long denied that it happens on a large scale. […]The Stanford study proves that there are such copies in AI models, and it is just the latest of several studies to do so.
The court confirmed that training large language models will generally fall within the scope of application of the text and data mining barriers, […] the court found that the reproduction of the disputed song lyrics in the models does not constitute text and data mining, as text and data mining aims at the evaluation of information such as abstract syntactic regulations, common terms and semantic relationships, whereas the memorisation of the song lyrics at issue exceeds such an evaluation and is therefore not mere text and data mining
https://www.sciencedirect.com/science/article/pii/S2949719123000213#b7
In this work we explored the relationship between discourse quality and memorization for LLMs. We found that the models that consistently output the highest-quality text are also the ones that have the highest memorization rate.
https://arxiv.org/abs/2601.02671
recent work shows that substantial amounts of copyrighted text can be extracted from open-weight models. However, it remains an open question if similar extraction is feasible for production LLMs, given the safety measures […]. We investigate this question […] our work highlights that, even with model- and system-level safeguards, extraction of (in-copyright) training data remains a risk for production LLMs.
How does merely tagging the apparently stolen content make it less problematic, given I’m guessing it still won’t have any attribution of the actual source (which for all we know, might often even be GPL incompatible)?
But I’m not a lawyer, so I guess what do I know. But even from a non-legal angle, what is this road the Linux Foundation seems to embrace of just ignoring the license of projects? Why even have the kernel be GPL then, rather than CC0?
I don’t get it. And the article calling this “pragmatism” seems absurd to me.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.
I code and do art things. Check private.horse64.org/u/ell1e for the person behind this content. For my projects, codeberg.org/ell1e has many of them.