What happens if a man takes it?

Also like... If you're gonna splatter all over your own bathroom, please clean it before you have guests.

Signed,

A person with a filthy bathroom BUT AT LEAST IT DOESN'T HAVE GROSS SHIT ALL OVER

Yeah ironically growing up this was the argument. I closed the toilet lid and my sister was outraged. She eventually went to my mother and asked her to talk to me about the toilet. So my mom brought us together and said "lengau, you need to stop leaving the toilet seat up." I looked confused and my sister said "no, he keeps closing the lid!"

My mother burst into laughter and told my sister that she should do so as well.

Serious question: what makes a laxative a "women's laxative"?

Not sure that's a good analogy...

Microservices can be useful, but far too many companies take a poorly designed monolith and split it into poorly designed microservices.

Stupid sexy Stalin...

I maintain several small open source projects. I sometimes use AI for my own PRs, especially ones that are almost mechanical but not quite. A great use for AI is "fix the new listing issues from this litter update."

I've been getting a moderate amount of AI slop PRs recently, though it has also coincided with a similar increase in PRs that are probably written by (or an least partially written by) AI but are actually useful. The ones I'd call "AI slop" tend to be huge, change a lot of tests, and may or may not even achieve their goal. A recent AI-written PR I got from an external first-time contributor fixed a bug by refactoring some code into a function, ending up with 4 calls to that function, of which 3 of the previous implementations had been correct and one had missed a step back in 2021. Net code added? 1 line, and only because it added a test.

The main problem is how much time I end up spending on these slop PRs. It can take a while to even describe why you're rejecting the change, though ironically AI has made this easier too.

HI MONGO!

Presies.

Having an AI help you code is like getting your six-year-old to help you put a shelf on the wall. Undirected, they're just going to make a huge mess for you to clean up later. Given specific tasks within their abilities, they can actually make it both go faster and be an altogether more pleasant experience.

With direction and an operator who knows its limits, AI can be used to semi-automate many boring tasks. One of the things I've got set up in some of my open source projects is an LLM that takes bug reports and turns them into regression tests. I don't always end up committing the AI-generated test (sometimes it's very slow and I can better pinpoint the behaviour and target a test at that), but it helps because I don't have to do that scaffolding myself, and I can just immediately jump into a debugger.

I do not believe that they are doing a proper clean room implementation, but I do think it's possible to do with an LLM.

Let's say for the sake of argument that the model used on the clean room side is a fully self-hosted version of Nemotron. One of the characteristics of Nemotron is that it's not just an open weight model, but from my understanding the training set is open, too. So, at least in theory, Nemotron can be proven to be free of any of Adobe's intellectual property.

Because they're a popular distro from a comparatively small company, so people who want to attack things rather than build things see them as an easy target?