It’s interesting to me that nowhere in the article and really nowhere in the comments does anyone raise the question of why do the Faroe Islanders do these hunts in the first place?

Obviously people living close to the sea have always gotten large portions of their diet from seafood, so are they actually preserving and eating all of the whale/dolphin meat they are harvesting?

If so then it doesn’t seem to me like a question of should the hunt be banned, unless we also want to discuss banning all other forms of hunting and animal husbandry.
It seems instead that we should be asking if they are doing it less humanely than other forms of hunting or animal husbandry, and if so what can be done to reduce the whales’ suffering?

It is bizarre to see a presumably serious article repeatedly use the term “jab” for a medical procedure. It’s an antivaxxer trope and really doesn’t belong anywhere near a scientific discussion

It can vary a lot based on what qwen model you want to run, but generally the 27b dense or 35b MoE are currently the best balance between size and capability afaik.

If you can run two 16GB cards you can pretty much max out the context on the 27b model, but a single card like the 3060 12gb could still work well on the 35b MoE model with the excess spilling into system memory.

I saw in another comment you have cards from the 2010’s but if they don’t have at least 8gb I wouldn’t even bother

It’s hard to say what exactly your requirements are in terms of VRAM/RAM from what you described here, but as a general recommendation whether AMD or Intel, I’d stick with DDR4 generation hardware. DDR5 is extremely expensive, but any non-MoE model that spills into system memory will still be frustratingly slow.

For GPU’s the best bang for your buck if you want Nvidia is probably the 3060 12GB, it has 360GB/s memory bandwidth and one or more of those is a very reasonable starting point for local AI.
If you’re okay with AMD there are some really unique cards floating around, I recently picked up a V620 off ebay for $350, it’s an ex-datacenter card with 32GB GDDR6 @ 512GB/s bandwidth. It’s a bit of a power hog but in my early testing it was running Qwen coder 3 30B at like 100 tokens/sec.

I run it on an ASUS X570 PRO board which is the cheapest AM4 board I could find with an optimal PCI-E setup: three x16 slots running 4.0x8, 4.0x8, 3.0x4. I have successfully tested it with the V620, a 9060XT, and a 3060 for 60 GB total VRAM, though the third x16 is only single slot so I had to borrow a pci extender cable to try it. I’ve found 48gb VRAM is plenty for me so I doubt I’ll actually run a third card unless I find a good deal on a single slot one.

Kinda turned into a ramble but let me know if you got questions

This thing launched 50 years ago, it and it’s sister probe are farther from earth than anything else by multiple orders of magnitude, they’re literally outside the sun’s influence. We obviously aren’t getting them back so recovery must mean recovery to an operational state

Localhost would only work on the machine itself. I have Cosmos installed on my own computer, but I have no experience trying it in a virtual machine. That may be a question better suited for the Cosmos Discord server, I can get you an invite if you want it

Although if I remember right a separate backup agent is obsolete, the main Immich container can do backups now

Maybe that’s specific to my host software that manages docker, it’s called Cosmos Cloud. There is a pre-built Immich docker compose which has an option to add a backup agent.

First of all like the other commenter said make sure you have all the right Immich containers running, should be 4 to 5 depending on if you have a backup container.

In the webpage, not the app, go to server settings first, in the machine learning section check that you have facial recognition turned on and a model selected, read through in case you want to change anything else about it.
Then secondly go to job queue and try refreshing face detection and grouping.

Good luck, with Hormuz closed most of Asia’s LNG shipments are blocked (which TSMC relies heavily on), plus other crucial chemicals for the chip making process like helium

The amount energy that would take is truly unfathomable

They didn’t even bother to fill up the strategic oil reserve

In that same vein I got an AMD Pro V620 32GB off ebay and have been struggling to get it to POST on my x570 motherboard, but I finally tried it on my old ASUS b450-i with a Ryzen 5 2400GE and with a few BIOS setting changes it fired right up.

Now I need to figure out what I’m doing wrong on the x570 board so I can run the V620 combined with my 9060XT for bigger models

The LG V20 had it all, still miss daily driving that phone

This is a wild take. Did you not see the tens of thousands of protestors in the streets? They were in the streets because Russia was trying to keep Ukraine as a “puppet gov.”

Their parliament had overwhelmingly voted to join the EU, but the president refused to sign it under pressure from Russia. The Ukrainians who dealt with decades of subjugation and a literal genocide (Holodomor) clearly no longer wanted to be associated with Russia.

I haven’t tried Docker Desktop as the other poster mentioned but I use a similar GUI interface called Cosmos Cloud to manage Docker. It integrates a “market” of easily installable docker apps, graphic interface for managing/updating the containers, internal port management and optional reverse proxy/url management for external access, plus a few more advanced features like VPN and OIDC SSO.
It’s probably overkill for just Jellyfin but if you’ve been considering trying out other self-hosted services I highly recommend it.

Standalone installation is the way to go: https://cosmos-cloud.io/docs/index/

Then I’m not sure what advice we can give you without knowing more about how you installed it and how the file structure and Jellyfin libraries are linked

I would guess you have an issue with your docker volume or bind mount then, assuming you built it as a Docker container?

How are you trying to run Jellyfin? What part isn’t working for you?

I have it as a Docker container in Ubuntu and it works perfectly. The only trick was I had to find jellyfin’s internal docker IP address to do the initial Jellyfin server setup steps.

What was the ASUS privacy update? In the router settings page? I haven’t seen it yet but I don’t use any of their extra services