IMO, mainly Valve.

zoxide, btop and lazygit are a must for me in any computer.

We don’t know if π+e is irrational.

We don’t know if π*e is irrational.

Funnily enough, this is valid under Chebyshev metric, same that kings in chess follow.

I through the suspect was her crazy boyfriend who is high rank in a gang. No idea if new information has come around

OP can also do GPU passtrought to huuugely negate the performance loss, but it is a rather complex process.

The car deformation physics of the game were so damn good and fun

Last year I went to “Rock to the park”, a free Colombian rock/metal festival. I went inside the “pogos” (mosh pits), some sort of way of violent dancing common in metal concerts, where everybody pushes everybody. I stayed there basically all night, despite being a very thin and physically weak person.

I think it was the most fun I’ve ever had in a social event.

Sample video of a pogo

Just FYI: I’ve had a really good experience with Heroic launcher. Use for playing those Epic freebies I’ve accumilated over the years, and has been pretty solid, almost Steam-like experience.

In a programming class, one of my professors sometimes remolety opened the xeyes program (Linux program that opens a pair of eyes that follow your cursor) on students that were not paying a lot of attention.

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 :)

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.

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.

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