

you mean the Gestapo since GDR was integrated into the west German model


you mean the Gestapo since GDR was integrated into the west German model
fedposting from feddit.org, checks out
^ when you definitely understand what memes are
My favorite part is how dems judiciously avoid discussing the elephant in the room which is that it is their own policies that disenfranchise the public.
That’s my view as well. There ultimately needs to be a human decision maker in the loop for any meaningful work to happen.
that’s the joke :)
Yeah, you kind of have to play it by ear. I find a big red flag is when somebody just starts regurgitating well known tropes that have been discussed to death. That’s usually a clear sign they’re just here to stir shit up.
You’re right that mockery is a terrible way to convert anyone. I think the real issue is that you’re not going to reach everyone, and that means we have to be strategic about where we put our energy. When someone is genuinely asking questions or wrestling with ideas in good faith, that’s where patient, respectful dialogue is essential.
But a huge amount of online discourse isn’t that. It’s just bad faith concern trolling, sealioning, or just repeating liberal pieties. Engaging with that on its own terms is a trap because it wastes time and gives legitimacy to arguments designed to waste our time.
A sharp dismissal or ridicule draws a clear line, shows others they don’t have to entertain every bad argument, and prevents the conversation from being derailed. The target is the audience, not the provocateur. So while it’s useless for persuasion, I’d argue that it has a role in defining the boundaries of the discussion.
what level of brain rot is this, oh wait lemmy.world, that explains things
And then they’d need to be able to verify that the code actually meets these requirements. That might even necessitate specifying these requirements in some sort of a formal language…


It’s a completely different situation in China. This tech is being treated as open source commodity similar to Linux, and companies aren’t trying to monetize it directly. There’s no crazy investment bonanza happening in China either. Companies like DeepSeek are developing this tech on fairly modest budgets, and they’re already starting to make money https://www.cnbc.com/2025/07/30/cnbcs-the-china-connection-newsletter-chinese-ai-companies-make-money.html


I mean the paper and code are published. This isn’t a heuristic, so there’s no loss of accuracy. I’m not sure why you’re saying this is too good to be true, the whole tech is very new and there are lots of low hanging fruit for optimizations that people are discovering. Every few months some discovery like this is made right now. Eventually, people will pluck all the easy wins and it’s going to get harder to dramatically improve performance, but for the foreseeable future we’ll be seeing a lot more stuff like this.


Almost certainly given that it drastically reduces the cost of running models. Whether you run them locally or it’s a company selling a service, the benefits here are pretty clear.


I haven’t tried it with ollama, but it can download gguf files directly if you point it to a huggingface repo. There are a few other runners like vllm and llama.cpp, you can also just run the project directly with Python. I expect the whole Product of Experts algorithm is going to get adopted by all models going forward since it’s such a huge improvement, and you can just swap out the current approach.


good point
the essence of the American political system