Ask HN: Do you think differently about working on open source these days?
I don't know yet what I think, but my latest side project I decided to create privately on github.
I don't know yet what I think, but my latest side project I decided to create privately on github.
I am bothered that I was able to reproduce code from my blog through an LLM (suggesting exact same default values). That was not licensed for permissive use.
I still contribute to open source because I still use a lot of it. In my mind I owe it to the community to contribute back, and if nobody did the same my workflow would be a lot worse.
That said, capital has always been squeezing open source. Whether it was the Embrace; Extend; Extinguish mantra of Microsoft, Amazon's hosting of Open Source in AWS to control the market for it, or Oracle's litigiousness about trademarks and patents. To say nothing of all the companies who profit from it and give nothing back in return.
LLMs being trained on Open Source software is nothing new with respect to capital attempting to consume it and profit from it but not giving anything back in exchange.
So no, I'm not worried, I'm not going to change anything. I expect maybe we see a license that says you cannot use it as AI training material at some point in the future, and the lawyers will fight over that for a decade or two.
I don't think this is as clear as you say it is. If a person "regenerates" GPL code from memory, it will still be a copyright violation. LLMs can't own copyright on their own, so a person must be responsible for the result. So it should be a violation. GPL should help (if you actually sue).
Are people open sourcing their works in hopes to make money and that's their concern? I've never heard of that from people involved in open source.
I recently stepped down from the core team of an open source project. There were various factors that lead to that, but LLMs were one of the factors that contributed to the decision. They are one of the things that has lead to me getting less enjoyment out of working on the project over the last year or so.
In a worst-case scenario, LLMs make it much more possible for someone to generate a large and plausible looking "contribution" with very little investment of effort on their side and minimal understanding of the problem they're trying to "solve". But your time as a maintainer is still finite. If you as a maintainer take every submission at face value as a good faith contribution, then you can easily put a lot of time and effort into the review of these contributions. That can come at the expense of spending that time on higher value activities. In the case where someone has chanced a low-effort LLM submission there is a higher chance that you're going to spend time and effort reviewing this thing, and then the original submitter will just close the PR or ghost when they realise it is more complicated than they thought. You can also end up wasting time on LLM written issues that contain a plausible looking detail that turns out to be spurious.
IMO there is a big difference in the impact LLMs have on software developed by a closed group of contributors (e.g: a team within a company) and open contribution projects. LLMs massively increase the ability of time wasters to submit plausible looking but low effort spammy issues/PRs. This is less of a problem in a high-trust environment. You are not usually trying to protect yourself from spammers and scammers within your own team so you're likely to see more of the benefits of LLMs there and less of the downsides. Conversely, you'll be exposed to those downsides more in a big open contribution bazaar style project where you accept contributions from world+dog.
That is not to say that LLMs have no benefits. Maybe all of this is a problem that will be solved over time. I will still continue to publish and maintain some smaller things, but I think right now is a very bad time to be a maintainer of a large open contribution project.
I always licensed my projects under GPL variants. That contract was broken by LLM vendors. So now I'm taking my toys and going home.
All my new projects are hosted on Sourcehut. I trust Drew when he says they are not letting LLM bots have at it.
Its not just the dev either. I'm no longer posting any content on blogs. Almost all of my other online interactions have moved to private channels and closed forums. I'm no longer giving my work away for free, unless you've passed the entry tests.
I wish pro-copy-left people could see this better. The future is brighter than you think.
I am assuming you are commenting in good faith, but it does tingle my gaslight-senses.
https://arstechnica.com/tech-policy/2025/08/ai-industry-horr...
As mentioned in the comment, private on GH has no bearing, it is still in full sight of the AI.
From what I can tell, OSS submissions are on the rise as people embrace AI to work on things they could not previously.
Whether that process is intermediated by a LLM or not is not really relevant.
You're concerned about LLMs stealing your code, yet you're still using Github in any form? You should be careful even using VSCode at this point, regardless of whatever promises they make.
Putting everything on github (public or private) is corporate OSS brainrot, as is MIT-everything-by-default (rather than copylefting everything).
In fact, back in the SF era, GPL variants dwarfed MIT/BSD by a wide margin:
https://redmonk.com/sogrady/2014/11/14/open-source-licenses/
http://sogrady-media.redmonk.com/sogrady/files/2014/11/black...
The only thing that's really a problem I see is if you're trying to build a business around developing opensource. Even then, it's better to publish non-core pieces of it so that many eyes can use and hopefully improve the security or fix bugs/holes in it.
I think that open source libraries (but maybe not applications) may be even more relevant now than ever. More application code will be written, and there is still a need for correct and reliable components.
However, it is quite fun to remove the boring part in programming with AI, so any hobby code I write I won't be making them public.
Currently I'm working on a way to use models trained from MIT-licensed code (eg. Comma) by using normal commercial model to supervise it. I believe this make the output code only be tainted with permissive code, and so I can now slowly use AI to write open source code again.
I'm currently working on a new project(my first big one from scratch using LLM coding), and using a few open source library. 9x under MIT. 2x BSD 3 clause, and 1 apache 2.0.
None of them are copyleft? I didnt do that intentionally. I dont know what i plan to license it; I typically go gpl. It's private until I decide i guess.
My big 'think differently' is that i gain a bunch of responsibility for the project. Do I want that? Am i ready for this long term commitment?
Where you are right though is that it does lower the barrier for people to copy simpler projects. For large ones, the llms are still not up to par.
Unless you want people to pay a llm plugin per-project which is akin to having a subscription service for netflix, hulu, disney plus, amazon prime, etc. Just bad UX. I think there is no fighting it.
Put simply… Too much drama, too little technical joy.
I had my best technical achievement writing proprietary software at one faang, if i have to be honest.
Personally, I would select only training material for open models. Pandora's box is already open, but if we are going to have LLMs, I want them to be available to everyone and not gated by a small number of companies. Since open models generally have less of a benefit of scale in terms of GPUs, I want them to have the benefit of more available/higher quality training data.
Now that we have LLMs I can make them tell off the people harassing me and generate features that do the opposite of what they asked for
> privately on github
So Microsoft and their AI will have access to your code but people won't.
I'm not a prolific open source contributor anyways, but i'm wondering if the tides are changing in regards to open source.
I can imaging that many people in the open source community - even if they're giving away their code for free under the most permissive licenses, still somewhere enjoy the fact that people know they're looking at their code on github or wherever it may be hosted. But now that slowly people shifting to only looking at code via LLM chat apps, then they might want to contirbute less to open source... just wondering... ?
"A little copying is better than a little dependency" becomes much easier to fulfil with AI, in a literal sense, and I support a lot of "little dependencies"
I mean I am fucking shocked that people don't get this, our whole fucking modern world, all the parts that make stuff work, every last bit of it is built on top of or dependent on OSS.
There isn't a single lab, company, person or country that doesn't use and benefit from open source. Whether they know it or not.
It is what has supported widespread fractal improvement starting at the individual level. It's the greatest grassroots story movement ever and it's still driven by grassroot adoption.
It's like programatic peer review writ large with no gate keeping journals and its changed humanity forever, if we ever deflect that asteroid headed towards earth or if we make it to the stars, or if we figure out how to avoid the heat death, it's because open source got us there.
Fitting that open-source was popularized by people who worked with nanotechnology, https://www.facesofopensource.com/christine-peterson/
I don't love the idea of my work training an ai without compensation either.
How is it different then if a Company uses your code without paying you due to a permissive license? It sounds like Open Source doesn't fit your mindset.
In theory if we wanted to be very inclusive we could do things based on web of trust or P2P tech or in-person sneakernet. It'd be fun, but it'd be slow.
This is absolutely not true