RE: https://hachyderm.io/@nedbat/116133445557306539

I got Ned's point, but I don’t think we can treat Claude (or similar tools) at the same level as a person.

We've never added tools (e.g. isort, Black, Ruff, ...) as co-authors of commits, even when they generated 100% of a commit.

Listing Claude as a co-author of a commit put it the same level as a person, but it's a tool.

The author of a commit is a person responsible for the code they submit, without shifting that responsibility to the tool, or worse, to the project maintainers.

#FOSS #AI

After thinking a bit more about Ned’s post and the discussion here, it really felt like the right moment to make expectations around AI-assisted contributions clearer in Django.

So I opened a proposal to add an AI/LLM contribution policy.

The idea isn’t to police tools, but to keep responsibility clearly human and reduce ambiguity for contributors and maintainers.

If you’re interested, have a look and share your thoughts:
https://forum.djangoproject.com/t/proposal-add-an-ai-llm-contribution-policy-to-django/44298

Proposal: Add an AI/LLM Contribution Policy to Django

If you use AI-generated content, you currently cannot claim copyright on it in the US. When coding, if you fail to disclose/disclaim exactly which parts were not written by a human, you forfeit your copyright claim on the entire codebase. This means copyright notices and even licenses that folks put on their vibe-coded GitHub repos are unenforceable. The AI-generated code, and possibly the whole project, becomes public domain. Source: https://www.congress.gov/crs_external_products/LSB/PDF/LSB1...

Django Forum
@paulox I’ll try to find time to write a more nuanced response, but one thing I think cannot be ignored is this https://zomglol.wtf/@jamie/116059523957674208
Jamie Gaskins (@[email protected])

Attached: 2 images If you use AI-generated code, you currently cannot claim copyright on it in the US. If you fail to disclose/disclaim exactly which parts were not written by a human, you forfeit your copyright claim on *the entire codebase*. This means copyright notices and even licenses folks are putting on their vibe-coded GitHub repos are unenforceable. The AI-generated code, and possibly the whole project, becomes public domain. Source: https://www.congress.gov/crs_external_products/LSB/PDF/LSB10922/LSB10922.8.pdf

zomglol

@fallenhitokiri @paulox Folks, just a reminder not to take legal advice from people from the internet who are not lawyers. They very highly highlighted and clipped three summaries from three cases which have no bearing on the recommendation.

Check out https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-2-Copyrightability-Report.pdf and you'll see that the claim is largely 💩

They recommend not allowing 100% generated project copyright, but our existing laws allow everything else per their guidance/recommendation. Read the PDF.

@webology @paulox thank you! I appreciate the clarification. As someone not too close to US law, I read the PDF slightly differently.

@fallenhitokiri @paulox It's all good. There are three parts to it. They keep filing as they figure it out. Overall, I am impressed by it, but I haven't read part three yet.

At the end of the day, these are just tools that people can do good and bad, but mostly in the middle. And it sucks to see them used for bad and causing grief.

@webology @paulox totally agree.

My personal experience with agentic editing was not very good so far, but neither were IDEs, debuggers or auto complete when I used it them first time.
I consider LLMs the same - a tool that helps me go form a to b, but not waiver to be lazy with what’s committed or pushed. (with a wider spectrum of amazing to miserable and some concerns around their creation and use)

@fallenhitokiri

Speaking of model hype (me, not you), I am excited but a bit time-poor to try out https://ollama.com/library/qwen3.5 and https://ollama.com/library/lfm2, which I'm seeing deliver better-than-I-thought-possible results for local models. Not sure if you are still dabbling locally, but I hope to have time and RAM to try them out this weekend.

qwen3.5

Qwen 3.5 is a family of open-source multimodal models that delivers exceptional utility and performance.

@webology I am building my local AI around lfm2.5-thinking for tool routing right now. It’s… okay but I expected more from the marketing.

Qwen 3.5 currently runs in my Studio and is humming along nicely. Very competent and so far didn’t mess up. But I haven’t had much time with it.

So far the strongest contender to build my research agent around and one of the first where online models don’t deliver better results in limited testing.

@fallenhitokiri this feels like how our generation sets up playdates for our LLMs. 😂
@webology I hate how much I just laughed out loud reading this 😂