Ripgrep AI Policy(github.com) |
Ripgrep AI Policy(github.com) |
Sure it's low-hanging fruit, but if you're looking at the code it's good to have the comments be readable and not full of typos.
(That said this was a few years ago, and there were no LLMs at that point. I didn't go out of my way to make trivial contributions, but I figured since I saw the "problems" I should submit a patch to fix them.)
If someone can't take the time to write their own replies (in their own words), then it feels fair to assume that they didn't take the time to test, review, and clean whatever code they submitted.
Wasn't uv bought by an AI company?
https://github.com/astral-sh/uv/graphs/contributors?from=9%2...
That said, I'm kind of surprised ripgrep hasn't been acquired by anyone, considering all the major AI agents use it pretty heavily.
companies either "fund" open source developers (usually a pittance), "contribute" code, or if all fails "fork" them, but straight buying, that's something I never see
In reality, people are going to keep doing that no matter what. But at the same time, it's still probably a worthwhile line to draw when it comes to discouraging more irresponsible or disengaged uses of AI.
How can I hold you to that unless I make you do that in your own words?
The AI makes it clear even for execs, juniors or flybyes. Which you usually don't want to have around near that code.
But in the end Stallman was right. it pays off to follow GNU changelog conventions, and be very verbose for outstanders. The AI can do that for you.
Then theres reference checks, less formal but generally still follow some kind of rigor or process and you generally know who they’re going to talk to.
Then there’s the third type of investigation, where they actually don’t tell you they’re doing it, may or may not admit to doing it, and you have no way of knowing whether you were singled out for some reason, assuming you are able to find out it happened in the first place.
And good luck searching for any recourse if ethics or even laws (such as HIPAA) are ignored in that situation, even if it’s for example a b2c healthcare company that is expected to set an example for health privacy standards, rather than calling everyone you knew to probe their memories of how healthy you appeared to be at the time, then using that information to evaluate your performance with different criteria than other employees.
Sure, it’s not a typical scenario, but if it happens to you, you’ll probably never be able to scoff at a comment like this again. You might never get over it.