

If you dislike decentralization, then that’s like being on an instance that’s banned every other instance.
Do you mean that you dislike defederation?
If you dislike decentralization, then that’s like being on an instance that’s banned every other instance.
Do you mean that you dislike defederation?
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:
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.
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.
If you do not understand why this is inappropriate you are the problem.
Was it inappropriate for Elon Musk’s company to not properly secure the data of its customers? I would say so. It would therefore be appropriate for anyone harmed as a result to sue Tesla - or Elon directly - for any damages they suffered.
OP: “Zen 5 CPU”
You: “Unpatched Zen 1 through Zen 4 CPUs are vulnerable”
You: Is it vulnerable?
???
Wasn’t the estimated delivery date much sooner when you first placed the order? Per Amazon’s stated policy, you should be eligible for refund three days after that date.
Obviously it would be preferable for you to get it even sooner, but that’s still a lot better than two months from now.
If you have an email or any record of the original estimated date, contact Amazon CS and reference that. Don’t even mention the changed delivery - that’s not your problem, as you didn’t agree to a changed delivery date; you were promised delivery three days ago and haven’t received it.
local docker hub proxy
Do you mean a Docker container registry? If so, here are a couple options:
Invidious link didn’t work… Do you have the youtube link?
Heads up for future reference: the video ID is the same between Youtube and Invidious, so you can just replace the invidious domain (inv.nadeko.net
in this case) with youtube.com
.
This is even worse tbh, because, as someone else pointed out, the YouTuber is a programmer. This is saying “only write code, don’t discuss what kinds of changes are needed.”
That + the “commit a pull request” nonsense (you submit a pull request, which comprises commits; the PR only gets committed when it’s been reviewed and merged by a maintainer) makes me doubt that the commenter you replied to has ever collaborated productively on a software project.
Wouldn’t be a huge change at this point. Israel has been using AI to determine targets for drone-delivered airstrikes for over a year now.
https://en.m.wikipedia.org/wiki/AI-assisted_targeting_in_the_Gaza_Strip gives a high level overview of Gospel and Lavender, and there are news articles in the references if you want to learn more.
This is at least being positioned better than the ways Lavender and Gospel were used, but I have no doubt that it will be used to commit atrocities as well.
For now, OpenAI’s models may help operators make sense of large amounts of incoming data to support faster human decision-making in high-pressure situations.
Yep, that was how they justified Gospel and Lavender, too - “a human presses the button” (even though they’re not doing anywhere near enough due diligence).
But it’s worth pointing out that the type of AI OpenAI is best known for comes from large language models (LLMs)—sometimes called large multimodal models—that are trained on massive datasets of text, images, and audio pulled from many different sources.
Yes, OpenAI is well known for this, but they’ve also created other types of AI models (e.g., Whisper). I suspect an LLM might be part of a solution they would build but that it would not be the full solution.
No, game mechanics aren’t subject to copyright law. Game mechanics can be patented in the US, so long as they’re unique and nonobvious (to someone with ordinary skill in the field).
Monopoly and Magic: The Gathering both had patents on their mechanics, for example.
And of course, patents in Japan are a completely different animal than patents in the US.
500 grams of what, though? Folgers?
The current average price per pound (454 grams) of ground coffee beans in the US was double that just a couple months ago, so spending $3.00 per pound would necessitate getting cheaper than average - and therefore, likely lower quality than average, or at least lower perceived quality than average - beans.
The sorts of beans that companies tend to stock (IME) that are perceived as higher quality aren’t the same brands that I tend to buy (generally from local roasters), but they’re comparably priced. For a 5 pound (2267 grams) bag of one of their blends (which are roughly half the price of their higher end beans), it’s similar to what you’d pay for 5 pounds of Starbucks beans - about $50-$60.
Often when a company says “free coffee,” they don’t mean “free batch-brewed drip coffee,” but rather, free espresso beverages, potentially in a machine (located in the break room) that automates the whole process. I assume that’s what Intel is doing.
At $10 per pound (16 ounces) and roughly 1 ounce (28 grams) of beans per two ounce pour of espresso, that means that if each person on average drinks two per day, then that’s $1.25 for coffee per person per day.
However, logistics costs (delivering coffee to all the company’s break rooms) and operational costs (the cost of the automatic machine and repairs, at minimum; or the cost of baristas, or adding the responsibility to someone’s existing job (and thus needing more people or more hours) if just batch brewing) have to be added on top of that. Then add in the cost of milk, milk alternatives, sweeteners, cups, lids, stir sticks, etc…
Obviously if they just had free coffee grounds and let people handle the actual brewing of coffee in the break room, it would be much cheaper. But if the goal is to improve morale, having higher quality coffee that people don’t have to make themselves is going to do that better.
That’s $3.33 per employee per work day, assuming 50 5-day weeks per year. Seems a bit high to me, but not exorbitant. If the figure included things that they’re not reinstating (like free fruit) then that would make sense.
That’s fair, but he would be able to play the games in the meantime. And since hardware generally gets cheaper as time passes, if he could set aside more than the subscription fee each month to save for his own hardware, he’d be able to game in the meantime. And if he ever had to cancel it, he’d be closer to being able to buy his own hardware than he is today - meaning more time total spent gaming.
How so? The games aren’t purchased on GeForce Now and he could just cancel his subscription if they changed the service in a way he didn’t like.
Retrieval-Augmented Generation (RAG) is probably the tech you’d want. It basically involves a knowledge library being built from the documents you upload, which is then indexed when you ask questions.
NotebookLM by Google is an off the shelf tool that is specialized in this, but you can upload documents to ChatGPT, Copilot, Claude, etc., and get the same benefit.
If you self hosted, Open WebUI with Ollama supports this, but far from the only one.