NFS gives me the best performance. I’ve tried GlusterFS (not at home, for work), and it was kind of a pain to set up and maintain.

If it works, I don’t update unless I’m bored or something. I also spread things out on multiple machines, so there’s less chance of stuff happening like you describe with the charts feature going away. My NAS is pretty much just a NAS now.

You can probably backup your configs/data, upgrade, then deploy jellyfin again, restore, and reconfigure. You should probably backup your data on your ZFS pool. But, I recently updated to the latest TrueNas Scale from ~5 year old FreeBSD version of TrueNas and the pools still worked fine (none of the “apps” or jails worked, obviously). The upgrade process even ported my service configurations over. I didn’t care about much of the data in the pools, so only backed up the most important stuff.

I personally use a dual core pentium with 16GB of RAM. When I first installed TrueNas (FreeNas back then), I only had 8GB of RAM, but that proved to be not enough to run all the services I wanted, so I would suggest 12-16GB. Depending on the services you want to run any multi-core x86 CPU that allows 16GB of RAM to be used should be adequate. I believe TrueNas recommends ECC RAM, but I don’t think using consumer grade RAM and hardware has caused me any problems. I’m also using an old SSD for the system drive, which I is recommended now (I used to use 2 mirrored USB thumb drives, buy that’s not recommended anymore). Very importantly, make sure the HDD(s) you get are not shingled drives; made that mistake initially, and performance was ridiculously bad.

Some of the “open” models seem to have augmented their training data with OpenAI and Anthropic requests (I. E. they sometimes say they’re ChatGPT or Claude). I guess that may be considered piracy. There are a lot of customer service bots that just hook into OpenAI APIs and don’t have a lot of guardrails, so you can do stuff like ask a car dealership’s customer service to write you Python code. Actual piracy would require someone leaking the model.

Oldest I got is limited to 16GB (excluding rPis). My main desktop is limited to 32GB which is annoying, because I sometimes need more. But, I have a home server with 128GB of RAM that I can use when it’s not doing other stuff. I once needed more than 128GB of RAM (to run optimizations on a large ONNX model, iirc), so had to spin up an EC2 instance with 512GB of RAM.

I just use Joplin, encrypted, and synced through dropbox. Tried logseq, but never really figured out how to use its features effectively. The notebook/note model of Joplin seems more natural to me. My coding/scripting stuff mostly just goes into git repos.

The PC I’m using as a little NAS usually draws around 75 watt. My jellyfin and general home server draws about 50 watt while idle but can jump up to 150 watt. Most of the components are very old. I know I could get the power usage down significantly by using newer components, but not sure if the electricity use outweighs the cost of sending them to the landfill and creating demand for more newer components to be manufactured.

You can also just install the libreelec os (Kodi), and install the Jellyfin Kodi addon. Haven’t tried that addon. I used to use Kodi when I had only one TV, and liked it. Now that I have 2 Android TVs, just installing Jellyfin on the TVs works fine. I might go back to rPIs and disconnect my TVs from the internet though.

My friend just hooks his laptop up to his TV, connects to his VPN, and plays popcorntime (streaming torrents). He used to use streaming sites, but those have been getting taken down left and right.

I haven’t checked it out in years. From my understanding, IPFS aims to be a distributed filesystem that kinda works like Bittorent. If you access a file, you then seed it. Last time I checked it out, the project was jumping on the crypto bandwagon… Just checked out their website now, and don’t know WTF it is.

Thought this was a Republican ad for a second. Similar language and appeal to fear and ignorance.

This is more complicated than some corporate infrastructures I’ve worked on, lol.

Yeah, the image bytes are random because they’re already compressed (unless they’re bitmaps, which is not likely).

I think I’ve seen calculations that we could explore every star in the galaxy with self-replicating probes in something like a million years; and other civilizations could do the same.

OSMC’s Vero V looks interesting. Pi 4 with OSMC or Librelec could work. I’m probably going to do something like this pretty soon. I just set up an *arr stack last week, and just using my smart TV with the jellyfin app installed ATM.

My PC running the Jellyfin server can’t transcode some videos though; probably going to put an Arc a310 in it.

I’ve been using last.fm for, I guess, decades now. Looking at what my “neighbors” are listening to is the most helpful.

Yeah, torrents usually run 100-300KiB/s. I guess not too bad for smaller files. About an hour or three per GB.

I mean, you can be sued for anything, but it will get thrown out. Like, I guess the MPAA could offer a movie for download, then try to sue the first hop they upload a chunk to, but that really doesn’t make any sense (because they offered it for download in the first place). Furthermore, the first hop(s) aren’t the people that are using the file, and they can’t even read it. If people could successfully sue nodes, then ISPs and postal services could be sued for anything that passes through their networks.

Onion-like routing. It takes multiple hops to get to a destination. Each hop can only decrypt the next destination to send the packet to (i.e. peeling off a layer of the onion).

Hmm, so looks like around 100kB/s. That’s about what I remember (100kB/s - 300kB/s).

I’ve recently been trying out Tribler, and it’s much faster than the last time I tried it (I’ve seen 2MB/s on popular torrents, but around 500kB/s on less popular). Not sure if there are simply more exit nodes with more bandwidth now or if there are more people on the Tribler network seeding.