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.
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
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.
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.
Your comment smells like opened canned fish left in the sun, eaten, then pooped out.
I feel like if there’s anyone being Reddit-like, it’s you.
Same here, but I must confess I can hardly call it a race. It’s not that people can’t overtake, is that they used this to just play around.
When I think of racing, the last thing I think about is people going intentionally slow all race long to do shenanigans because they can’t be overtaken.
Compare that to this Mansell vs Senna Monaco 1992 final laps. Despite not being able to overtake with huge tyre advantage, they are racing.
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.
Most entertaining sprint that I remember, absolute chaos. It fucked me up quite badly in my Fantasy team, tho.
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.
Side note: RustDesk has mobile client as well.
I know you mean sarcasm, but I still agree with the point being made.
Back in university, I studied basically all day long, which was tiresome after long sessions of study, even if with friends. My great superpower is that it used to just take me ~10 seconds of resting with my eyes closed to feel a huuuuge boost of energy that lasted for 1-2 hours. After that boost expired, I just did it again.
Incredibly useful.
Genuine question: why would Denmark be happy/help Greenland become independent?
I found the race to be mostly boring, and then BAM, in half a lap it became incredibly interesting. So glad I stayed up to watch the race.
And their hypercars were leading past weekend’s WEC 10 hours race, showing race-winning pace.
Simracing with VR is quite nice, tho. You’ll never get that level of immersion with screens
The 1.5B version that can be run basically on anything. My friend runs it in his shitty laptop with 512MB iGPU and 8GB of RAM (inference takes 30 seconds)
You don’t even need a GPU with good VRAM, as you can offload it to RAM (slower inference, though)
I’ve run the 14B version on my AMD 6700XT GPU and it only takes ~9GB of VRAM (inference over 1k tokens takes 20 seconds). The 8B version takes around 5-6GB of VRAM (inference over 1k tokens takes 5 seconds)
The numbers in your second link are waaaaaay off.
Unrelated question: is that GrapheneOS?
Yeap. It felt like an intriguing mixture of something a bit terrifying, but also me wanting to enjoy the moment.
My fever dream was Piastri catching up Norris, they both crash, and Hulkenberg wins, Hamilton p2 and Stroll p3.