Aww the eye lasers are the best part.

Thank you Father may I have some more pixels? I am very hungry.

Gardevoir and gallade make way too much sense as a mtf and ftm trans icon respectively the more I think about it.

Sylveon is more of a mascot than an icon tho.

Lucario I swore was a gay pride icon not a trans icon tho?

But distro C isn't actually easy you should use distro F for a really good new user experience!

Lol

Gotta teach em bad habits early. That way they break things before it matters to much and they can learn!

I was not prepared for the adorableness. I was not ready I say! You gotta warn people when your going to give them diabetes

As the saying goes, only an idiot blames his tools. The tool worked as design ain't its fault the user was stupid.

My rule system for my local LLM has grown to a nearly 283 document hub of interconnected memory files, references, examples and documentation. Its slowed my model down a lot when it has to review and cross check things. But its improved its abilities over all massively. Its more accurate, understands its environment better, doesn't attempt to do sketchy shit as frequently and it doesn't get stuck in logic loops nearly as often.

Designing the memory hub has been half the fun of playing with local models.

Humans lie to themselves a robot doesn't understand the difference between fact and fiction and thus isnt bound to the limitation. They try everything, possiable or not. And thus will find the edge case where a human would create a self imposed blind spot with out realizing it.

The goal is to midigate the robots attempts at the truely not possible so it doesn't cause harm when they try it.

I actually wanted to automate some large scale testing for vintage story. Figured i would set my local LLM on the task to sort it out just to see what it would do. I drafted up a nearly three page document with clear instructions, rules, tools, examples and goals. Put hard limits on the sandbox the LLM runs in so that it couldn't choose to just ignore the rules that could cause security issues and i let it lose.

It started with basic mouse and keyboard inputs and figured out by it self how to launch the game and run it though the user interface. After about 4 hours it stopped. Stated in its logic that what it was doing is "inefficient and wasting time" Then proceeded to promptly start working on a way to directly interface with it by designing a bot, getting a smaller model i had on file that could load along side it and drive the bot. It then started working on the hard problems would hand basic instructions to the smaller llm and it would drive a bot that loaded into the game as a mod.

After about 12 hours of total work it basically created a useful and well designed and functional vintage story bot and testing system. Would have likely taken me twice as long to design the bot.

Its been working well for about two weeks now. If i had just vibed out a half assed request or put in no hard safeguards outside of the LLMs control it likely would have done something fucking stupid. As with anything, its almost ALWAYS user error. And only an idiot blames their tools for their own fault.

Blindly following them while also telling the model to never question them. It creates stupidity feedback loops.

AI will happily tell you that is a stupid idea at this point. The bigger problem is that a LOT of users actively tell the models to listen to them, not to question them, and to never push back. To do things on demand and with out planning out the next step.

At this point no reasonable model of any reasonable size should struggle with this sort of task. And they generally speaking don't. Its almost always user error poorly driving them now. The models arn't smart, they don't understand things. But they also arn't out right stupid. So long as you give them proper instructions, plan things out before hand properly and draft jobs correctly. They can and WILL do things right and not act like idiots.

People are expecting them to be proactively smart when they cant. They can be reactively smart and people just don't understand the difference. The models need to be treated like a well educated junior with no real world experience and they do really well.

Unironically middle and lower management skills are some times the biggest factor in proper useage of these models when used on large projects. Which i also find it funny that 9 times out of 10 real management people tend to have the worse management skills and thus struggle the most with using LLMs in a safe or reasonable fashion.