That’s what you just got shown: Shove the configgy bits into Git.

You will likely have to find the configs you want to save first.

Wustite, ferrous oxide, is black. FeO.

Typical rust, usually found as hematite, is Fe2O3 and is red/brown. Also an iron oxide.

Magnetite is also another black iron oxide, Fe3O4.

There are quite a few other flavors of iron and oxygen too.

This goes in the “shit UM would say” bucket.

Yeah, it’s a common pattern with the “victim” crap. Same stuff I was just testing, actually. (Check my comment history with UM over the last day or so; re: define propaganda)

Very nonsensical responses, no discussion and just absolute crap posts. If it is LLM assisted, it’s tuned to respond to people like they are hating on the acual article and UM. It’s an easy formula: post a shit article and just argue with everyone about anything while assuming they are commenting against the post.

But I have met people just like that IRL and it usually comes with some serious mental disorders or poorly prescribed medications. (I am being extremely serious with that comment and no joke is intended, at all.) It’s probably for that person’s benefit to get kick-banned at all turns. Assuming it’s actually one real person, social media is not where they need to be spending their time.

Everything else aside, my biggest gripes are with service control. Instead of just “service” they had to invent a new name that was super close to an existing function (systemctl vs sysctl) and reverse the switch order. (service sshd stop vs systemctl stop sshd.service)

Besides that, I absolutely hate that all the service configs are not in a standard location. Well, you get things like sshd.conf which are still in etc, but the systemctl configs are who knows where.

There are more important things to hate on with systemd, but I went for the superficial this time and I absolutely hate service management with systemd now.

Ask! I am sure your nephew will be glad to give you a not-so-short summary of the entire Pokemon universe. (Most kids that have hobbies like that usually have every tiny detail memorized and are willing to show off their expertise.)

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Yeah, I have seen it take one drone for a kill or as many as five (or more), depending on the armor. Still thought, a top-down hit on tanks are going to be rough. Even if you don’t have confirmation, you can make a good guess on the damage based on where the hit was, the attack angle of the drone and the explosive used.

This kind of skill might help developers build AI agents that identify buttons or fields on a webpage to handle tasks like making a reservation at a restaurant.

… to improve efficiency of click farms and to bypass captchas.

You can start to track this down by reverse image searches if you are that curious. It’s a crap story, so the actual source is going to be ambiguous.

This was the first I found, posted on the 4th, and I am not linking to it directly.

There are plenty of estimates out there, but it’s extremely scattered. The problem is that there are dozens of conditionals attached. For example, if a vehicle was just damaged was it actually recovered? If it was recovered, was it actually repairable? If it was repairable, did it make it back into service? If it made it back into service, how does it count against all previous estimates?

I exaggerated a little, but the point remains. Especially with Russian vehicles, actual numbers are so obscure, probably even their own commands couldn’t give you an answer.

So. Probably the most reliable way to make educated guesses is to make estimates on visible reserves factoring in visually confirmed total losses. Covert Cabal and his buddies on YouTube seem to do a fairly good job of tracking Russian reserves using the latest satellite pictures.

After all of that, I don’t have a good answer for you. There is a somewhat reliable way to get “before and after” data but anything that happens in between is anyone’s guess.

Not according to some.

I am curious as to why they would offload any AI tasks to another chip? I just did a super quick search for upscaling models on GitHub (https://github.com/marcan/cl-waifu2x/tree/master/models) and they are tiny as far as AI models go.

Its the rendering bit that takes all the complex maths, and if that is reduced, that would leave plenty of room for running a baby AI. Granted, the method I linked to was only doing 29k pixels per second, but they said they weren’t GPU optimized. (FSR4 is going to be fully GPU optimized, I am sure of it.)

If the rendered image is only 85% of a 4k image, that’s ~1.2 million pixels that need to be computed and it still seems plausible to keep everything on the GPU.

With all of that blurted out, is FSR4 AI going to be offloaded to something else? It seems like there would be a significant technical challenges in creating another data bus that would also have to sync with memory and the GPU for offloading AI compute at speeds that didn’t risk create additional lag. (I am just hypothesizing, btw.)

I’m down with that logic, but the bot is just going to keep doing its botty things.

Report it. (New account, blog spam, funky domain, poorly configured server, etc.)

You were right for once, bot. Too bad that is a rare occurrence.

I concur, doctor. I’ll report all its posts as well.

Ok, cool. Usually those are attached to random sales fronts to boost SEO or something like that. Odd that this one is just blog spamming into the void and getting boosted here, of all places.

It doesn’t seem harmful, but I don’t understand the motivation behind it yet.

Could be a reputation bot here on Lemmy, maybe. That makes sense on Reddit where there is visible karma, but here? (I dunno how kbin works or if it is karma driven. I just noticed that…)

Dunno. Something-something The Freedom Project.

This page (hxxps://freebird-bg0.pages.dev/) is just a generic Hello World page, so that is weird. The title link is just hxxps://orion.pages.dev/

Imma dig deeper and see if I can find anything. First guess is it’s just an AI bot?