I suppose I don’t have enough experience or interest in the Shield as a server, so I’ll take your word on that part. I don’t disagree that purely as a client, it’s overpriced today, although I’ve always been satisfied with mine. It’s always outperformed most other clients I’ve ever tried. What would you suggest as an alternative now, just a mini pc or something?

How does that make them useless? They may not work for a use case where you’re mounting network drives, but still work perfectly fine if you’re using them to connect to a media server.

We’re in an online echo chamber, we don’t need to look at reality. Just find the opinions that we agree with, and agree with us, and put 'em at the top!

Very uncommon to refer to NCOs or SNCOs as officers in branches of the US military that I have experience with. Interesting about Canada though, I wonder what other countries do

It’s not, everyone just loves to use the funny swearing buzzword

Oh, very interesting. Yeah, I hate this AT&T ONT - I hate the idea of my ISP owning or providing any equipment. I was under the assumption that there weren’t good alternatives for the ONT, and that I was stuck with the AT&T-provided one, since fiber is relatively newer. Seems much easier for them to lock you into using their device. Thanks for the link!

That’s seems to be what I keep coming back to over the past few days. The UCG Ultra looks perfect for what I need - I don’t want a router and AP in one device, nor do I need any of the security software that other Unifi devices seem to have - I run those separately. I think the UI and dashboards are what are really pushing me towards Ubiquiti, they look really great for displaying the info I want to see

Yeah, you and I have very similar use cases with this. Gluetun, VPN, download clients + *arr stack, I get it. I’ll be sure to update with a solution, if I spot one (when I get around to looking)!

I am also currently dealing with this same exact issue, I’m wanting to run multiple instances of Lidarr for MP3 / FLAC libraries with Gluetun. I don’t have an answer (I haven’t put in the time to try and solve it yet), so apologies if I got your hopes up. I’m just here to confirm that others have this issue too!

Edit: Regarding that documentation, it seems like it’s not saying that changing the port breaks it, it’s just that you have to set both sides of the mapping to be the same. The default is 8080, so instead of 8080:8080, change the mapping to 8081:8081. That’s how I’m reading it, anyways.

I should also mention that the closest that I got to fixing this was to boot up my 2nd Lidarr container separately, setting the port in the Lidarr WebUI console to something different (8687, for example), and then attach it to my Gluetun docker compose file. I did a docker compose pull to update my stack, then docker compose up -d for it. You might try this approach, and tinker around with it. I just haven’t had time to really play with this “solution”

Edit 2: Played more with the solution I mentioned, and that LifeBandit666 found. We both gave the same solution, and the solution seems to work. Just don’t be a dumbass, and remember to do application configuration to your container (unlike me, who, after putting the container into my Gluetun docker compose file, forgot that I didn’t do application configuration and just saw a bunch of errors with Lidarr).

I used to have this issue more often as well. I’ve had good results recently by **not ** pointing out mistakes in replies, but by going back to the message before GPT’s response and saying “do not include y.”

Yeah that’s true. Different styles of deployment, in the end all that matters is that your application is up and running

If I already have a docker environment set up, why not use the container? I use containers for most of my stuff, if I can. It makes many aspects of system management so much easier.

Ah, I see. Looks like some other people in this thread gave you some good info, I’ll have to keep this in mind if I ever need to change my approach. Happy to hear you got a good answer!

My solution to this was a radicale docker container, with DAVx5 on f-droid. Very lightweight, just works without much configuration needed. I don’t use my phone for email much, so I just use thunderbird for my email client

Yes. I believe the paid version only gives you more possible nodes (where the transcoding is done), and more reports? But yes, you have the entire suite of tools necessary in the free version. It’s worked great for me, I’ve used it for a year and a half now

Agreed. I’ve converted my library all to 265 using Tdarr, I’m up to 11.5 TB of saved space. I like having all my media be uniform for my Plex server, and Tdarr is a nice and easy tool to achieve it

FMD2 (for auto-downloading manga), Komga (for hosting manga on a local server), and Tachiyomi for a self-hosted solution, if you’re interested.

I suppose the issue here is more semantics than anything, yeah. I think better discussion would be had if the topic was “how can we help LLMs better understand and present information,” as opposed to a more sensational “GPT will cheat and lie”

I think the reason I’m not comfortable with using the term “lying” is because it implies some sort of negative connotation. When you say that someone lies, it comes with an understanding that they made a choice to lie, usually with ill intent. I agree, we don’t need to get into a philosophical discussion on choice and free will. But I think saying something like “GPT lies” is a bit irresponsible for the purposes of a discussion

They said “it just repeats words that simulate human responses,” and I’d say that concisely answers your question.

Antropomorphizing inanimate objects and machines is fine for offering a rough explanation of what is happening, but when you’re trying to critically evaluate something, you probably want to offer a more rigid understanding.

In this case, it might be fair to tell a child that the AI is lying to us, and that it’s wrong. But if you want a more serious discussion on what GPT is doing, you’re going to have to drop the simple explanation. You can’t ascribe ethics to what GPT is doing here. Lying is an ethical decision, one that GPT doesn’t make.