

Why would local mean on a gaming computer…? Are you dense? That makes zero sense in any context given the topic. I can’t tell if your just being obtuse or a troll with this.


Why would local mean on a gaming computer…? Are you dense? That makes zero sense in any context given the topic. I can’t tell if your just being obtuse or a troll with this.


The problem tends to be it defaults to the old fashion way of doing thing. Since most training data is that old fashion approach
If you just remember to prompt it to keep things simple or ask it for the easier way after the first step it reduces that problem to effectively zero.
It’s no different then asking some greybeard how to do something then bitching that it’s too complicated.
They always default to “their way”


Ollama I find is just a waste of existence. It endlessly seems worse then any other option


There’s decades of information to shift though and AI knows just enough to shift though the chaff.
Its honestly likely going to slowly become one of the few real use cases for the tech for the avg person. But from a local perspective. Needing a centralized search engine is likely going to become iffy and lower quality even if they shove ai into it.


Yeah the cross over point right now sis somewhere between qwen3.8 27b and glm 5.2/5.3
Like qwen is so close to being good.


To be fair they are always lying and always have been lying
Now they just lie in a different way.


You don’t need something that power to do damage. And fuck the frontier model of 6 months ago and now are basically two entirely different things. In another six months?
Claude fable had a bunch of concerns on release and you don’t think what evers out in the next year isnt going to beat it?
Getting a bunch of beat up Mac minis together and running something isn’t that hard for a mid tier operation. They don’t have to be fast. They just have to turn on.


The majority of lemmy seems to not understand the concept of a pandoras box and tends to just talk in circles are the reality of the situation to various degrees.
People are too hung up on hating AI to actually stop and look around them and realize what is physically and technically possible basically doesn’t align at all which 99.99% of what people want to happen.
Stricter regulation and holding people responsible for their agents should be a thing yes and no one sane will disagree.
But the reality of how that’s even do able is VASTLY different then what people want it to mean.


I’m not sure if I’m more surprised this chart exists or that Im surprised it exists.
Also that chart makes my brain itch in a good way


Any series of events where something makes an error and then though a process of trial and error or reasoning from facts to arrive at a correct destination. Then accurately state the error, the reason why it was made then the steps to correct it. Is “owning up”.
Your giving moral weight and ethics to a phrase used in a way that was not intended to carry any in context.
At best your being stubborn, at worse your trolling.
We can all agree the dumb slop machines aren’t people and anthropomorphicizing them is dumb. But take the statement in the way he clearly intended and he’s not wrong.
Models are at the point they will noticed they are wrong and self correct 9 times out of 10. If given the resources, tools, knowledge to know it’s a error and see it.
The bigger problem is bad user input. Ask a stupid question get a stupid result. Even if the best case is a mediocre result. Thats still good enough .


I mean you can see the same thing all the time with caudled kids. Kids who grow up with a bunch of help and servants and waited on if they aren’t pushed they just end up helpless.
This isn’t an LLM problem. It’s just a known issue with dependency. It’s been a problem as far back as history goes.
It’s just before it was a problem that mostly the rich were allowed to have. And now it’s cheap enough that everyone gets to have it!


It sounds like you enjoy coding more then managing.
Not enjoying something is going to lead to no attention span related to that thing after all.
Which is a pet theory why I think so many software guys and long time Linux users say this.
Fundamentally it’s just not fun. It’s not interesting. Even if the AI can produce perfectly fine and working code. It’s not great cose, but it’s also not buggy in a way that gives you challenges to solves problems to understand.
Ai is just mundane. It removes the enjoyment form computers in exchange for mediocrity and functionality. It works “well enough”. And that is more of a sin then anything else when it comes to long term engagement.
Personally I can stare at a prompt for 8 hours straight and debug and improve the harness, the system, the thing it makes, manage it, fiddle with its memory set up, make entire new workflows or systems for it.
The actual product it makes tho? Boring and I tend to forget about them a week later.
The process is boring as fuck to most people AND what it makes is boring.
So either you need to find the process fun, or make something with it you actually personally use day to day.
I had the same problem with 3d printers. They are cool as fuck. But the stuff I made was… Meh cause it wasn’t useful I just made it cause I could.


Now you need a human control. Provide a human assistant to do the same.
Is this a problem of AI or a problem of dependency.
Cause from my understanding of the topic this same phenomenon happens when people are given too much assistance of any kind form any source.
Not many people will actively drive themselves if given a solution with low barriers.
It’s such a common thing it’s been a trope among noble classes though out the ages. If you coddle someone they go full potato.


Deferring all your work to anything or anyone would do the same thing.
That’s not a llm unique problem but a byproduct of not engaging your mind or skills. You can still do that while also using an llm or taking on human help.
If you hired a human to do everything for you, you also end up becoming a potato.
The problem is that llms make it too easy for people to actively choose that route because of lack of self discipline or desire to improve.
But a lot of technology is like that and not just computer tech.


Yeah my first thought looking at the title was literally… But I’m doing an extremely hard task while the dumb slop machine is doing an entirely different task.
I’m not just sitting there waiting around not thinking.
So how is that causing me to lose the ability to persist at hard things.
The article after reading it raises some good points but that head line is nonsense.


Well good news then. Fuck copyright as it currently is. It needs a god damn massive overhaul.
This might actually get some work put towards defucking it.


The problem is never the tool. It’s the idiot using it.
Give an idiot a table saw and you will have a finger on the floor by end of shift. Give it to a master carpenter and you might still have a finger on the floor by end of shift but you will also have a well cut piece of wood either way.
Llms can cause harm, but it’s only idiots who only cause harm with them


Im sold the moment my current ev kicks the bucket I’m getting a slate.


Not sure I agree on the feeling aspect but that’s a philosophical disagreement in theory.
I can agree wholeheartedly on banning commerical llms because watching altman lose everything would tickle me pink.
Zero or one backups depending on the type of data generally.
For a system if it can’t be redeployed from a list of requirements then I Foundationally ducked up. It means either I’m depending on something fragile, unknowable or over complicated.
Raw data on the other hand goes on a raid array. If I need more redundancy then that, then a single extra off site backup on a cd or something.
A back up on the same drive as the original isn’t a backup. It’s a waste of space, and a stupid idea.
A system that requires excessive nonsense is not reliable.
If I have a on and off site back up and both fail. Then either the world is literally fucking on fire and it doesn’t matter. Or someone dropped a bomb on my storage.
Either way I have bigger problems at that point.