This is probably the wrong post to ask this question, so sorry in advance.

I have a dual boot Linux + Windows. Jellyfin runs wonderfully on muy Linux partition with docker-compose. Anybody knows how can I clone it in my Windows partition, such that configs, metada and accounts remain the same? I’ve failed to do this, and only the media volume remaines identical on both OS.

Goof Troop, for SNES.

ike if there’s a risk of running alongside self-host software like Plex and jellyfin

I don’t see why there should be any problem, as they use different ports. Plus I’ve had no troubles running a Jellyfin and Navidrome instances, plus some other self-hosted services alongisde Snowflake.

I’m really glad to have helped you :). Tor is very mystified, but an awesome tool, and very neat from a technical point of view. In case you haven’t seen them, I recommend these 2 amazing videos from Computerphile: How TOR works and TOR Hidden Services

1. Not a node, but a proxy. Entry node’s IPs in Tor are publicly known, so they are easy to censor. With Snowflake you create a proxy (bridge) between a censored user and an entry node, and since your IP is not listed as a node, you help the user bypass the censorship.

2. In theory, nope. But if the user is doing something bad, a prosecutor could argue you helped them to do so. I don’t know about any case like this involving Snowflake, and I am not a lawyer. You could be a target if you were to host material, which is not the case with Snowflake.

In case it helps, I’ve been running the extension with no trouble that I’m aware of for a few years.

This may be a dumb questions, but are there mosquitoes in the vegetation zones in islands in the middle of the ocean like Huahine?

The warmer zones here in Colombia tend to have lots of vegetation, and also tons of mosquitoes but well, we are in the middle of a continental mass.

Okay, I see. Thanks for the detailed explanation.

Wouldn’t a rolling distro be enough forma that?

Do they make much difference? Genuine question

Math students in university need to verify basically everything, that’s a lot of what the career is about. I remember being humbled when asked to prove something as familiar to everybody as -1 * -1 = 1

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.

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

Sadly, no. However, you could maybe do a personal blog, similar to how Terrence Tao does.

I really encourage you to try, it could help you find new stuff, check for mistakes, clarify ideas, and maybe even hear ideas from others.

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

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.

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.