I’d just like to interject for a moment. What you’re referring to as Alpine Linux Alpine Linux is in fact Pine’s fork, Alpine / Alpine Linux Pine Linux, or as I’ve taken to calling it, Pine’s Alpine plus Alpine Linux Pine Linux. Alpine Linux Pine Linux is an operating system unto itself, and Pine’s Alpine fork is another free component of a fully functioning Alpine Linux Pine Linux system.

Wow, there isn’t a single solution in here with the obvious answer?

You’ll need a domain name. It doesn’t need to be paid - you can use DuckDNS. Note that whoever hosts your DNS needs to support dynamic DNS. I use Cloudflare for this for free (not their other services) even though I bought my domains from Namecheap.

Then, you can either set up Let’s Encrypt on device and have it generate certs in a location Jellyfin knows about (not sure what this entails exactly, as I don’t use this approach) or you can do what I do:

1. Set up a reverse proxy - I use Traefik but there are a few other solid options - and configure it to use Let’s Encrypt and your domain name.
2. Your reverse proxy should have ports 443 and 80 exposed, but should upgrade http requests to https.
3. Add Jellyfin as a service and route in your reverse proxy’s config.

On your router, forward port 443 to the outbound secure port from your PI (which for simplicity’s sake should also be port 443). You likely also need to forward port 80 in order to verify Let’s Encrypt.

If you want to use Jellyfin while on your network and your router doesn’t support NAT loopback requests, then you can use the server’s IP address and expose Jellyfin’s HTTP ports (e.g., 8080) - just make sure to not forward those ports from the router. You’ll have local unencrypted transfers if you do this, though.

Make sure you have secure passwords in Jellyfin. Note that you are vulnerable to a Jellyfin or Traefik vulnerability if one is found, so make sure to keep your software updated.

If you use Docker, I can share some config info with you on how to set this all up with Traefik, Jellyfin, and a dynamic dns services all up with docker-compose services.

Why should we know this?

Not watching that video for a number of reasons, namely that ten seconds in they hadn’t said anything of substance, their first claim was incorrect (Amazon does not prohibit use of gen ai in books, nor do they require its use be disclosed to the public, no matter how much you might wish it did), and there was nothing in the description of substance, which in instances like this generally means the video will largely be devoid of substance.

What books is the Math Sorcerer selling? Are they the ones on Amazon linked from their page? Are they selling all of those or just promoting most of them?

Why do we think they were generated with AI?

When you say “generated with AI,” what do you mean?

• Generated entirely with AI, without even editing? Then why do they have so many 5 star reviews?
• Generated with AI and then heavily edited?
• Written partly by hand with some pieces written by unedited GenAI?
• Written partly by hand with some pieces written by edited GenAI?
• AI was used for ideation?
• AI was used during editing? E.g., Grammarly?
• GenAI was used during editing?E.g., “ChatGPT, review this chapter and give me any feedback. If sections need rewritten go ahead and take a first pass.”
• AI might have been used, but we don’t know for sure, and the issue is that some passages just “read like AI?”

And what’s the result? Are the books misleading in some way? That’s the most legitimate actual concern I can think of (I’m sure the people screaming that AI isn’t fair use would disagree, but if that’s the concern, settle it in court).

Look up “LLM quantization.” The idea is that each parameter is a number; by default they use 16 bits of precision, but if you scale them into smaller sizes, you use less space and have less precision, but you still have the same parameters. There’s not much quality loss going from 16 bits to 8, but it gets more noticeable as you get lower and lower. (That said, there’s are ternary bit models being trained from scratch that use 1.58 bits per parameter and are allegedly just as good as fp16 models of the same parameter count.)

If you’re using a 4-bit quantization, then you need about half that number in VRAM. Q4_K_M is better than Q4, but also a bit larger. Ollama generally defaults to Q4_K_M. If you can handle a higher quantization, Q6_K is generally best. If you can’t quite fit it, Q5_K_M is generally better than any other option, followed by Q5_K_S.

For example, Llama3.3 70B, which has 70.6 billion parameters, has the following sizes for some of its quantizations:

• q4_K_M (the default): 43 GB
• fp16: 141 GB
• q8: 75 GB
• q6_K: 58 GB
• q5_k_m: 50 GB
• q4: 40 GB
• q3_K_M: 34 GB
• q2_K: 26 GB

This is why I run a lot of Q4_K_M 70B models on two 3090s.

Generally speaking, there’s not a perceptible quality drop going to Q6_K from 8 bit quantization (though I have heard this is less true with MoE models). Below Q6, there’s a bit of a drop between it and 5 and then 4, but the model’s still decent. Below 4-bit quantizations you can generally get better results from a smaller parameter model at a higher quantization.

TheBloke on Huggingface has a lot of GGUF quantization repos, and most, if not all of them, have a blurb about the different quantization types and which are recommended. When Ollama.com doesn’t have a model I want, I’m generally able to find one there.

You said, and I quote “Find a better way.” I don’t agree with your premise - this is the better way - but I gave you a straightforward, reasonable way to achieve something important to you… and now you’re saying that “This is a discussion of principle.”

You’ve just proven that it doesn’t take a moderator to turn a conversation into a bad joke - you can do it on your own.

It’s a discussion of principle.

This is a foreign concept?

It appears to be a foreign concept for you.

I don’t believe that it’s a fundamentally bad thing to converse in moderated spaces; you do. You say “giving somebody the power to arbitrarily censor and modify our conversation is a fundamentally bad thing” like it’s a fact, indicating you believe this, but you’ve been given the tools to avoid giving others the power to moderate your conversation and you have chosen not to use them. This means that you are saying “I have chosen to do a thing that I believe is fundamentally bad.” Why would anyone trust such a person?

For that matter, is this even a discussion? People clearly don’t agree with you and you haven’t explained your reasoning. If a moderator’s actions are logged and visible to users, and users have the choice of engaging under the purview of a moderator or moving elsewhere, what’s the problem?

It is deeply bad that…

Why?

Yes, I know, trolls, etc…

In other words, “let me ignore valid arguments for why moderation is needed.”

But such action turns any conversation into a bad joke.

It doesn’t.

And anybody who trusts a moderator is a fool.

In places where moderator’s actions are unlogged and they’re not accountable to the community, sure - and that’s true on mainstream social media. Here, moderators are performing a service for the benefit of the community.

Have you never heard the phrase “Trust, but verify?”

Find a better way.

This is the better way.

Then why are you doing that, and why aren’t you at least hosting your own instance?

Yes, I know, trolls etc. But such action turns any conversation into a bad joke. And anybody who trusts a moderator is a fool.

Not just trolls - there’s much worse content out there, some of which can get you sent to jail in most (all?) jurisdictions.

And even ignoring that, many users like their communities to remain focused on a given topic. Moderation allows this to happen without requiring a vetting process prior to posting. Maybe you don’t want that, but most users do.

Find a better way.

Here’s an option: you can code a fork or client that automatically parses the modlog, finds comments and posts that have been removed, and makes them visible in your feed. You could even implement the ability to reply by hosting replies on a different instance or community.

For you and anyone who uses your fork, it’ll be as though they were never removed.

Do you have issues with the above approach?

As a user, you can:

• Review instance and community rules prior to participating
• Review the moderator logs to confirm that moderation activities have been in line with the rules
• If you notice a discrepancy, e.g., over-moderation, you can hold the mods accountable and draw attention to it or simply choose not to engage in that instance or community
• Host your own instance
• Create communities in an existing instance or your own instance

If you host your own instance and communities within that instance, then at that point, you have full control, right? Other instances can de-federate from yours.

I recommend a used 3090, as that has 24 GB of VRAM and generally can be found for $800ish or less (at least when I last checked, in February). It’s much cheaper than a 4090 and while admittedly more expensive than the inexpensive 24GB Nvidia Tesla card (the P40?) it also has much better performance and CUDA support.

I have dual 3090s so my performance won’t translate directly to what a single GPU would get, but it’s pretty easy to find stats on 3090 performance.

The above post says it has support for Ollama, so I don’t think this is the case… but the instructions in the Readme do make it seem like it’s dependent on OpenAI.

Are you saying that NAT isn’t effectively a firewall or that a NAT firewall isn’t effectively a firewall?

Is there a way to use symlinks instead? I’d think it would be possible, even with Docker - it would just require the torrent directory to be mounted read-only in the same location in every Docker container that had symlinks to files on it.

Depending on setup this can be true with Jellyfin, too. I have a domain registered, use dynamic DNS, and have Traefik direct a subdomain to my Jellyfin server. My mobile clients are configured using that. My local clients use the local static IP.

If my internet goes down, my mobile clients can’t connect, even on the LAN.

Good point!

If OP is hourly, those 3 hours should be billed as work - probably under a generic HR-related category if one is available.

If OP is salaried exempt, then this would fall under “doing any work at all” (all that’s needed to be paid for the day) and if sick time is tracked by day and not by hour, then OP doesn’t need to use one. If it’s tracked hourly then OP should make sure to only use 5 sick hours (or less, depending on how long the work-related conversations took) and depending on employer policies may not need to use any sick time at all.

This also cut into the time OP could have been using to rest. It would be very reasonable for OP to need an extra day to recover, as a result.

Don’t forget to file an expense report for the co-pay. It’s a business expense that was required by company policy, as communicated by HR, and is therefore the company’s responsibility to cover.

Generally, usage of the term “gentrification” refers to the improvement of neighborhoods - or other places where people live, like apartment complexes - and, due to increased cost of living, the displacement of the people who used to live there. Displacement of less wealthy current residents when gentrification occurs is so common that it’s implied. If it weren’t, people wouldn’t have such low opinions of gentrification.

If a forest has been gentrified, therefore, then - if you interpret “gentrified” in the same way - it follows that people who have been living there have been displaced. And since those people were living in a forest - not in a cabin in a forest - they’re necessarily homeless. Since OP didn’t say that they were building houses or apartments in the forest, that would mean that the wealthier people who displaced them were also homeless.

Since the context was another commenter calling “gentrified forest” a cursed phrase, I don’t think I’m alone in thinking that.

You should look up the definition of “gentrification.” There are a ton of options that don’t suggest that the homeless people in the forest are being forced out and replaced with wealthier homeless people.

Maybe “commercialized” would be a better word choice? Alternatively, “developed” or “sanitized?”

Apparently there’s a vulnerability with sending messages with images in them and “she” might be logging people’s IP addresses through that.

If the images are hosted on your instance, this wouldn’t be relevant. If they’re links to an image hosted somewhere, this is possible, but there’d be a lot of noise and not much value. To link accounts to IPs the URLs would themselves need to be different

I checked the urls to the images in my PMs and they’re all hosted on Lemmy.

Orcas are dolphins, though. Do you mean bottlenose dolphins specifically?