Tbf, Iran made the first move with supplying Russia with drones. I don’t think either Ukraine or Iran had much of a choice in with whom to align themselves.

The Uncle Fucker song from South Park: Bigger, Longer, Uncut prolly

This. I know some people who have switched to vapes and have steadily reduced their nicotine to 0.

Gotcha. Sorry for being snarky.

Blaming sexual violence on porn seems the same kind of cheap virtue-signalling as blaming gun violence on video games.

Being choked feels good. Your partner sometimes asks you to choke them, sometimes in the heat of the action.

The most important thing is that there really is no safe way to do it, and it should be never done. Upvoted your post for visibility. For the sceptics, here is an article (in German) about one medical doctor accidentally killing another during sex.

How the hell is 8GB a small amount for a side utility? Are you using LLMs to count to 50?

I’ve once worked on a project where your commits to your dev branch were supposed to be helpful to colleagues for reviews, but they had to be squashed for the feature branch, with comments adhering to the conventional commit “standard”. On the other side of it, there was a horrible pedant of a middle manager, who was rejecting merges based on (debatable) “misformats”.

This affected billing. They supposedly had some scripts evaluating merge requests, and they’d shrug and say “the script rejected it”. This was before LLMs. Come to think of it, they’re probably replaced by an LLM now, prompted by the customer to “try to defraud and fuck with the workforce on every commit”.

So to sum up, maybe OP’s in some sort of corporate hell, or maybe they want a bit more than going git commit -m every time.

Come on, you have to admit that “proper use” is doing a lot of heavy lifting here. The GIGO problem is not just a result of "mis"use, but a pervasive and steadily worsening problem.

Yea, didn’t you hear calling it otherwise makes you tHe EneMy?

I think you are critically (I’m not saying intentionally) missing the middle ground in your assessment. Large generative models are great for repetitive, homogenous tasks like surveillance, speech recognition, assembly line quality control, etc.

If I try to look at it from your point of view, regarding creative tasks like developing new software, you have one side claiming that you can make hammers out of chocolate and throw away all your proper ones, and another that’s portrayed as being unreasonable for opposing that.