Are you asking how AI coding agents, the companies selling them and the individuals using them break the FOSS social contract (copyleft, attribution, upstreaming), or are you disputing that they do?

▲

Gormo an hour ago | parent [-]

Both would resolve to the same question, no?

There seems to be an implicit premise here that any work generated by an LLM whose training data includes a particular bit of code itself constitutes a redistribution of that code. I've yet to encounter any strong arguments substantiating this premise as a general principle, and my own suspicion is that it is not valid as a general principle, given the nature of how LLMs operate.

It's certainly possible that specific instances of LLMs lazily copy-pasting code from public repos may exist, and the extent to which this is happening is something that can be substantiated by empirical examples, so if you have any to point to, I'd be interested in looking at them. However, where this is happening, it ought to be regarded as a failure modality of LLMs, and not something that implicates the underlying nature of LLMs, given that their intended purpose is to function as stochastic generators that do not merely copy-paste input data.

My initial feeling here is that using open-source code to train LLMs is not per se a violation of the generally accepted FOSS social contract, but rather that attempting to restrict specific use cases of FOSS-licensed code on the basis of normative opinions unrelated to the license terms is a violation, or at least a rejection, of that social contract. I'm not fully committed to this position, though, and would welcome well-reasoned arguments to the contrary.

	▲	Xirdus 6 minutes ago \| parent [-]
		> Both would resolve to the same question, no? Yes but my answer would be different. It can be either about what coding agents do (and you'll see that it breaks the social contract), or it can be about what the FOSS social contract is (and you'll argue that coding agents don't break it.) Lo and behold, it was the latter. > There seems to be an implicit premise here that any work generated by an LLM whose training data includes a particular bit of code itself constitutes a redistribution of that code. Not any work. But if a specific work was generated based on a specific open source work, then according to the social contract that binds non-AI code generators such as transpilers, the output is derivative and should follow the license of that open source work. There's also the question of whether the model itself is a redistribution. For every other lossy compression algorithm in history, the answer is a resounding yes. Is a model meaningfully different from a hypercompressed corpus of its learning data? The social contract of the open source (not to be confused with the legal contract of GPL, MIT etc.) is that developers give users software that they can use and modify in any way they want, and in exchange the users give the developer recognition and help with development and maintance, as well as give each other the assurance that the software will remain available to them and any future users. AI gives the user all the benefits of using open source software with none of the obligations that come from using open source software. Developer gains nothing from going open source. It makes no sense for any developer to go open source. Social comtract breaks down, and it's all because AI users didn't hold up their half of the bargain.