Don’t be a what?
tyler
joined 3 years ago
What the hell does this have to do with politics or the left? Good fucking grief conservatives think everyone is attacking them and use it as justification to make everything shitty for everyone.
The visual novel was a joke reference to an LLM using up an entire gpu. It’s quite sad that you’re so addicted to LLMs that you don’t even notice your biases.
All of those things you listed take a fraction of the power of these models.
The one you’re using with power in your own house already used enough power to run a city, so yeah…of course that one is getting disparaged.
And no, it doesn’t depend on the hardware. Thinking that a local llm only uses a portion of your gpu while games max them out is just ignorant. Games do not have to load up the entire vram and run the gpu at full power just to run a basic visual novel. An llm does both of those things, anytime you are using it. It’s absolutely nothing like a game.
The temperature my computer room gets to when gaming vs using a local model says otherwise. I’ll gladly plug in a measuring tool and show you the data if you want.
But here is the thing: this is a Volta GPU with 16GB of HBM2 memory, 5120 CUDA cores, and I picked it up for about £150 on eBay. The compute is still real. The VRAM is still real. And the memory bandwidth is where it gets genuinely surprising.
It’s AI slop. You’re blind.
What hate? This user is the only one posting anything about it.
You watched a different game. Spain didn’t even let Argentina get the ball for the majority of the game.
“It’s not blah. It’s blah.”, “it’s genuinely ”. I can go on. As soon as you see it once you see it everywhere. When every article reads the exact same way it’s horrendous, it’s tiring, it’s the end of the internet. It’s all bots now.
Claiming that global tax laws are realistic while banning AI isn’t is just cope. Banning AI needs nothing more than for people to realize the harm and to stop doing it. It’s exactly how we stopped using CFCs. It’s how several billion people stopped eating shark fin soup. It’s how we have begun moving away from disco fossil fuels to renewables.
Power consumption for AI is way higher than for games…your gpu is rarely at full usage when running a game, only really if you’re one of the few people that tries to get every single bit out of your game with the highest level graphics and even then you’re not using the full amount because the game would stutter. It doesn’t matter if an llm stutters. They use the full power of your gpu no matter what you’re doing.
And the models being trained on other models mean that local LLMs use more energy than a model like Claude. You have all the energy of multiple data centers training one model and then you go and train a model off of that.
Completely disagree. The difficult part of software development was never writing code OR speed of delivery. It was understanding requirements and problem solving. LLMs still can not do either of those things and there is no evidence they ever will be able to.
An example of how harmful LLMs actually are to development can succinctly be described with an issue I had a few weeks ago. I found an issue in an open source project, code was fine if a bit hard to understand. I came up with a PR to fix the problem.
In the time from me checking out the code to submitting the PR, a little less than 24 hours, the maintainer had completely rewritten the entire project with Claude. It was complete nonsense. Incredibly difficult to understand. Abstracting things that didn’t need abstracting. My PR was useless, because the entire project was new. The maintainer definitely didn’t understand the changes either. If a bug came up there’s no way AI would be able to solve it (the bug was still there even though the code was entirely new).
LLMs don’t understand the code. They just make things that look like they will work. And then a human has to maintain it (or keep paying billions of dollars for Claude to try to fix it).