There’s nothing to scale. DNS servers are just an address book. There’s only 200 million entries active and visited. 1.1b entries otherwise, which; for a computer isn’t a lot.

DNS servers replicate down-stream, and the root servers maintain authority. A local SQLite file could handle this easily, and you could always run your own DNS server locally if you wanted to. But there has to be a central authority. That’s why you can have any TLD you want – you run your own DNS. But since nobody sees you as an authority, they won’t be using your DNS.

How is the internet supposed to work if we don’t agree on where every site goes? How are you supposed to decentralize a central agreement?

You can use whatever top level domain you want, you just have to convince everyone in the world to use your Root servers instead of ICANN, which ain’t gonna happen. Tor has the .onion TLD, etc. There are no restrictions here. They’re more like…agreements.

So, I migrated to 5.x and I don’t know if it was just me, or a change in the WebUI or something, but Sonarr stopped wanting to pull files in. I’ve been holding out on the Sonarr upgrade because last I looked at it, it wouldn’t auto-migrate you over, etc.

But when I went to upgrade it - it said that now auto-migrates, and it does. However, the old migrated rules looked kinda dirty, so I was panicking a little. The imported/converted stuff all worked, mind you, I just didn’t like how they looked. In the end, I ended up really really liking the new Sonarr system, though I did have to ask an LLM how to format some new regex.

You should REALLY update…

https://sharpsec.run/rce-vulnerability-in-qbittorrent/

Are you hard-linking it to somewhere else on the drive via any kind of automation?

For example, Sonarr can hard-link files to the directories they belong in, so that Qbit can continue seeding. If you then delete/remove the torrent/files – then the hard link would still be there.

Holy hell, nice find!

You can get 'em for <$500 if you look the right places. And it follows the rule of never skimping on anything between you and the earth. Shoes, Tires, etc.

Most gaming chairs are an easy 200+. At that price range, an office chair is GOING to outperform it in terms of comfort.

Gaming chairs on the other hand, throw on some pads with different colored stitching, and are incredibly low quality.

I managed to get my whole family some really good office chairs because a local business chucked them all in a local dumpster. Most of them just needed to have the foot-rests removed to be completely perfect. I looked them up, and they are all $600+ chairs brand new. Dumpster diving has always been fun :)

“Gaming Chairs” are for idiot consumers. Office chairs are where it’s at. Office chairs are designed to be sat in for 8+ hours a day.

Why would you even bother trying to run this all through a VM when you can just run it directly? If you’re to the point of using VMs, you don’t need this tutorial anyways.

Are you seriously telling me you’re jumping through all the hoops to spin up a VM on Linux, and then doing all the configuration for GPU passthrough, because you can’t just figure out how to run it locally?

If your “FIRST STEP” is to choose an OS: Fuck that.

You should never have to change your OS just to use this crap. It’s all written in Python. It should work on every OS available. Your first step is installing the prerequisites.

If you’re using something like Continue for local coding tasks, CodeQwen is awesome, and you’ll generally want a context window of 120k or so because for coding, you want all the code context - or else the LLM starts spitting out repetitious stuff, or can’t ingest all of your context so it’ll rewrite stuff that’s already there.

Reverse proxy that handles TLS/HTTPS. Caddy is pretty easy to set up, or you could use a cloudflare tunnel (or other tunnel) to expose the services across a different IP; in case you’re worried about DDoS, or revealing your IP address.

You’ll want a domain for the reverse proxy; I assume you already have one.

https://jellyfin.org/docs/general/networking/caddy/

This is instructions for domain.tld/jellyfin; but I use a subdomain jellyfin.domain.tld

I use my domain name provider’s own services for updating my semi-dynamic IP address (it basically never changes unless I have a multi-day power outage)

That way, if the VPN goes down, your torrent client isn’t just downloading stuff nakedly.

You always just bind the torrent client to the VPN adapter so this doesn’t happen. Most modern clients have this (qBittorrent certainly does)

1. • Learning. If you ever found yourself tired of learning new things, your life is basically done.
   • Cost. You already have an internet connection at home. It’s practically a necessity these days. The connection is likely fast enough for most things. Renting even the most piddly of VPS is wildly expensive. Just throw a spare machine at it and go wild.
   • Freedom. Your own data is constantly being collected, regurgitated, and sold back to you. More people need to care about this incessant invasion of our lives.
2. • Backups. 3 copies, on different forms of storage, in multiple PHYSICALLY distinct locations. Just when you have that teeny little imp in the back of your mind say “hmm, I should probably back up soon” – stop everything you’re doing and run a backup.
   • Test your recovery! Backups are only good if you can recover from them. Many have lost data because they failed to ever fail-test their backups.
3. • Google. Legitimately the best skill you can ever attain is simply being able to search effectively and be able to learn jargon quickly. Once you have the lingo down, searches become clearer, quicker, more precise.

Is the router flashable with OpenWRT? :D

jkjk – most modern routers can be turned into just flat access points, ganged with another router.

The router is going to give you more control.

A typical refrigerator is like 40dbA – 25dbA is ABSURDLY quiet. You’re not gonna hit that without a completely fanless system. If 25dbA is his hard cap, he can’t even be breathing in the same area as the computer, because that’s something like 28dbA…

I mean we just had https://nvd.nist.gov/vuln/detail/CVE-2024-6387 – so my guess is that you’re updating quite often to be so confident in your unattended upgrades.

Those were statements. Statements of fact.

Once the models are already trained, it takes almost no power to use them.

Yes, TRAINING the models uses an immense amount of power - but utilizing the training datasets locally consumes almost nothing. I can run the llama 7b set on a 15w Raspberry Pi for example. Just leaving my PC on uses 400w. This is all local – Nothing entering or leaving the Pi. No communication to an external server, nothing being done on anybody else’s server or any AWS instances, etc.