Scipitie

Which of those questions from the article would you describe as loaded enough to imply the quite interesting responses?

I expected to read something like "why are Chinese people stupid?" and then some racist shit - but the answers to those questions are.. Interesting.

The bankruptcy scenario is correct but the first part isn't: you don't have X shares as collateral that you can liquidate. Instead, you have collateral to cover sum Y.

As long as the collateral contract covers enough stock positions the bank won't lose.

That said all of this is assuming standard contracts. If y bank wrote "0% interest and instead 50% of the revenue growth of Twitter" then this would be an easy way to lose money.

Haven't heard of a stupid banker yet, though, so what would the chances be?

Because it's basically axiomatic: ssh uses all keys it knows about. The system can't tell you why it's not using something it doesn't know it should be able to use. You can give a -i for the certificate to check if it doesn't know it because the content is broken or the location.

That said: this doesn't make -v more useful for cases like this, just because there's a reason!

I'd try chat gpt for that! :)

But to give you a very brief rundown. If you have no experience in any of these aspects and are self learning you should expect a long rampup phase! Perhaps there is an easier route but I'm not familiar with it if there is.

First, familiarize yourself with server setups. If you only want to host this you won't have to go into the network details but it could become a cause for error at one point so be warned! The usual tip here is to get yourself familiar enough with docker that you can read and understand docker compose files. The de facto standard for self hosting are linux machines but I have read of people who used Macos and even windows successfully.

One aspect quite unique to themodel landscape is the hardware requirements. As much as it hurts my nvidia despicing heart at this point in time they are the de facto monopolist. Get yourself a card with 12GB VRAM or more (everything below will be painful if you get things running at all. I've tried and pulled or smaller models on a 8GB card but experienced a lot of waiting time and crashes). Read a bit about Cuda on your chosen OS and what their drivers need.

Once you can understand this whole port, container, path mapping and environment variable things.

Then it's going to the github page linked, following their guide and starting a container. Loading models is actually the easier part once you have the infrastructure running.

No offense intended, possible that I miss read your experience level:

I hear a user asking developer questions. Either you go the route of using the publicly available services (dalle and Co) or you start digging into hosting the models yourself. The page you linked hosts trained models to use in your own contexts, not for a "click button and it works".

As a starting point for image generation self hosting I suggest https://github.com/AUTOMATIC1111/stable-diffusion-webui.

For the training part, I'll be very blunt: if you don't indent to spend five to six digit sums on hardware or processing power, forget it. And even then you'd need the raw training data to pull it of.

Perhaps what you want to do use fine tune a pretrained model, that's something I only have a. It of experience in LLMs thohfn(and even there I don't have the hardware to get beyond a personal proof of concept).

Both langchain as well as ollama run locally and are open source.

To be very frank: your post sounds like fear mongering without having even clicked on the link.

The first link goes into amazing detail on that. In short: all your information concerning location as well as current IP and some other metadata gets send to a basically unknown company with no transparency on how that data is handled.

I highly recommend reading the first, linked post though!

You have several long and comprehensive answers so please allow me to add an emotional one:

Fucking compile error in hour six of what you estimated to be a four hour compile job because of a mistake you made that you found within 5 seconds after the error!!

Fucking why doesn't this compilation start I can't find my mistake for hours?!

Where does this module come from?! What do you mean "root kit"? Learning was fun!

It all was fun! :)

Is there anything to support this? I couldn't find anything that really has this intend documented and Intel weren't the only on pushing for usb as the most simple protocol possible ( I recall a lot of excitement about the "u" part.. How naive at least I was back then!).

I'm not knowledgeable enough to really argue against it, looking simply from an Okham point of view as "they wanted everything to connect" - the printer in the same way as that PDA.... Plus Intels de facto (IT) world domination at the time it just seems unlikely.

Edit: some sentences didn't make even less sense, fixed.

Cups

linux printing server - if you want to share a printer over network or just use one locally on a linux machine.

(not OP but same boat) Doesn't really matter to me because google knows my servers external IP which is a non-issue: I don't expect google to try to attack me individually but crawl data about me. There is no automatic link between my server and my personal browsing habits.

In terms of attack vector vs ease of use , self hosting searxng is a nobrainer for me - but I do have an external server available for things like that anyway so no additional overhead needed.

Two more things to add: you get downvoted not for the content but for the tone. People tend to not respond well to abuse, even if verbal - and at least I read a "make this shit work for me" in between your lines.

And more important: what you are asking is not easy. Wouldn't be on windows, wouldn't be on macos (disclaimer: I've never set up the arr stack on either but docker runtimes) . You are diving into server software no matter if you're the only user or not. Either you accept this and the learning curve ahead of you or you give up on it.