How is that a "regime position"?

You are only saying this because you agree with general regime positions...

Please name 2.

Censorship and bias is nowhere near as bad in Chinese model. Try even a local Deepseek model and you'll see it.

Just 4 years ago I was on the verge of doing it. Today while still having the recurrent though, I'm doing a lot better. And every single suicidal/depressive people is a different world, so yes, people can have 180° change in less than 6 years.

There is no single rule of thumb to apply here, as much as ignorance may lead you yo believe so.

Algorithms that find approximate solutions to Traveling Businessman Problem are handful (some just use Markov Chains, a rather easy topic). Finding the exact solution is a hell lot harder.

If your solution has an estimated error margin of 2% or less, it works just fine for basically any practical purpose.

This is similar to an X-files's episode plot: https://en.wikipedia.org/wiki/Squeeze_(The_X-Files)

Highly recommend it :)

Plus you can always go the pirate way as well. I do for the most expensive games / from companies I dislike / as a trial mode for games I'm interested in buying.

Nope, it's a general rule. See for example https://bishopfox.com/blog/unredacter-tool-never-pixelation

Don't use blurry text if you want to censor it, as it can be unblurred. Just use a solid color box.

It would work the same way, you would just need to connect with your local model. For example, change the code to find the embeddings with your local model, and store that in Milvus. After that, do the inference calling your local model.

I've not used inference with local API, can't help with that, but for embeddings, I used this model and it worked quite fast, plus was a top2 model in Hugging Face. Leaderboard. Model.

I didn't do any training, just simple embed+interference.

Nope. Anti-matter comes as a negative energy density solution to Dirac's equation

Milvus documentation has a nice example: link. After this, you just need to use a persistent Milvus DB, instead of the ephimeral one in the documentation.

Let me know if you have further questions.

OP can also use an embedding model and work with vectorial databases for the RAG.

I use Milvus (vector DB engine; open source, can be self hosted) and OpenAI's text-embedding-small-3 for the embedding (extreeeemely cheap). There's also some very good open weights embed modelsln HuggingFace.

Oh, you can interpretate anti-matter as either matter that has negative energy and travels forward in time, or matter with positive energy that travels backwards in time, and both interpretation are valid under Dirac's equation.

Such a drastic change to 2026 regulations made no sense in almost mid 2025. Teams have to prepare new year's cars on a limited budget, and doing so with a new engine of different weight and dimensions is almost senseless just 9 months short of preseason tests.

If I remember correctly, you can also use a water drop in the lens and it will amplify the image.

This is a form of pressure.

Take for example the apartheid in South Africa. The rugby team was not able to participate in some of the world cups. While not the key action that ended apartheid, it did pressure the Government in some way. Not player's fault, not the spectators fault, not the world cup organization team fault, yet they all got punished in some way.

Side note: RustDesk has mobile client as well.

I know you mean sarcasm, but I still agree with the point being made.

There are also anti neutrons that have a neutral charge

Expanding onto this, it raises the question: how is a neutron different to an anti-neutron?

A neutron can be though of a particle composed of 2 down and 1 up quarks and lot of gluon's that keep everything together. The gluon is its own antiparticle, so the antineutron has 2 anti-down quarks, 1 anti-up quarks and gluons. This way it becomes a different particle despite also being of neutral charge.