Their concept artists are allowed to use some generative AI tools to explore ideas and speed up their workflow. They're currently hiring a bunch more concept artists (both juniors and a senior character artist) so if you're trying to get a job: https://larian.com/careers/4fd694b3-ece7-4307-9949-15cac512a815
Great place to go if you're looking for a concept artist job.
This is very true, though I'd argue that Windows makes most of the same assumptions with user accounts. Also, the internal threat model is still important because it's often used to protect daemons and services from each other. Programs not started by the user often run in their own user accounts with least privilege.
You no longer have 10 different humans using the same computer at once, but you now have hundreds of different applications using the same computer, most of which aren't really under the user's control. By treating them like different people, it's better to handle situations where a service gets compromised.
The question is more about passwords which is mostly down to configuration. You can configure Windows to need a password for lots of things and you can configure Linux to not. They just have different defaults.
The big difference between UAC and Sudo is that you can't as easily script UAC. They can both require (or not require) a password but UAC requires user interaction. Sudo has no way of knowing if it's being interacted with by a person or a script so it's easier for applications to escalate their own privileges without a person doing it. UAC needs to have the escalation accepted with the keyboard or mouse.
There's still plenty of sneaky ways to bypass that requirement but it's more difficult than echo password | sudo -S
And Debian Sid is still stuck on 6.3.6 :(
Hopefully they figure out the qt update thing and get the new version packaged soon?
You could do this with logprobs. The language model itself has basically no real insight into its confidence but there's more that you can get out of the model besides just the text.
The problem is that those probabilities are really "how confident are you that this text should come next in this conversation" not "how confident are you that this text is true/accurate." It's a fundamental limitation at the moment I think.
I feel like this isn't quite true and is something I hear a lot of people say about ai. That it's good at following requirements and confirming and being a mechanical and logical robot because that's what computers are like and that's how it is in sci fi.
In reality, it seems like that's what they're worst at. They're great at seeing patterns and creating ideas but terrible at following instructions or staying on task. As soon as something is a bit bigger than they can track context for, they'll get "creative" and if they see a pattern that they can complete, they will, even if it's not correct. I've had copilot start writing poetry in my code because there was a string it could complete.
Get it to make a pretty looking static web page with fancy css where it gets to make all the decisions? It does it fast.
Give it an actual, specific programming task in a full sized application with multiple interconnected pieces and strict requirements? It confidently breaks most of the requirements, and spits out garbage. If it can't hold the entire thing in its context, or if there's a lot of strict rules to follow, it'll struggle and forget what it's doing or why. Like a particularly bad human programmer would.
This is why AI is automating art and music and writing and not more mundane/logical/engineering tasks. Great at being creative and balls at following instructions for more than a few steps.
Yeah, I think quite a lot of people on Lemmy have similar social media habits (or lack of) to some degree. We also tend to associate with other people like us. Especially people in tech tend to talk to other tech people, or friends and family of tech people which is a limited demographic.
It's a very different perspective to most people. The average person on the train has vastly different media consumption and likely very different opinions.
There are a lot of people who consult LLMs in most aspects of their lives.
I dunno about that... Very small models (2-8B) sure but if you want more than a handful of tokens per second on a large model (R1 is 671B) you're looking at some very expensive hardware that also comes with a power bill.
Even a 20-70B model needs a big chunky new graphics card or something fancy like those new AMD AI max guys and a crapload of ram.
Granted you don't need a whole datacenter, but the price is far from zero.
Only one source of social media? That kinda sounds like the definition of a social media bubble...
I oughta know, I'm also in the Lemmy only bubble and am completely out of touch with most people.
I feel like that would make them much harder to get running on different things. No compiled code means you would have to rewrite the whole game for different instruction sets. Very difficult for anything that isn't x86.
A lot of non-native English speakers use online communication to practice and most want to be corrected so they can improve.
A lot of native English speakers make mistakes accidentally, or speak with a dialect and some of them get really angry when people try to correct them.
It's sometimes tricky to know which is which. The best solution is for everyone to just be kind to each other but...
But I don't want a bunch of huge images in my face. Isn't that what pixelfed and Instagramy things are for? I only want to click on the things I'm interested in, not be shown an ugly frustrating stream of giant, semi-traumatic political pictures one after the other. Thumbnails exist for a reason and claiming they're bad UX is incorrect, it's the industry standard design pattern for any control that allows a user to browse quickly through multiple images or to provide an impression to a user before they decide whether or not to open the full content.
Lemmie/piefed is more about text and conversations so titles should always be the largest clearest part so you can read them quickly to know whether you want to engage with the post or not. Otherwise, how is it different from pixelfed? Likes vs upvotes is not a big difference.