Jakeroxs @ Jakeroxs @sh.itjust.works

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2,186

Joined

2 yr. ago

Just put it on steam isn't the same as saying exclusively put it on steam.

How would anyone be informed of something existing without telling people the product exists

The highest likelihood is you have literally no idea how any of this works and are just joining the crowd of AI bad because energy usage and have done zero research or hands on knowledge of how these tools actually work.

So mad at a joke

Someone really hates Disclosure huh?

I honestly don't understand how he still gets elected here. I would cry systematic election fraud in Texas but the majority of my parents generation seemingly doesn't vote at all. But their parents who just watch Fox News all day sure fucking do.

Literally would be cheaper to just give people ubi

Action Launcher had that before nova, both went to poop sadly

I'm currently trying fast draw, it was in fdroid 🤷‍♂️

Kinda like smart launcher where you set up categories along the bottom, can select a widget at the top. I miss being able to search for a specific app but it's usable.

Op buys avocado toast

I mean do you actually know or are you just assuming?

All of them at their disposal, we should get rid of all tools

Because they want the majority of the new chips for training models, not running the existing ones would be my assertion. Two different use cases

There's no functional difference aside from usage and scale, which is my point.

I find it interesting that the only actual energy calculations I see from researchers is the training and the things going along with the training, rather then the usage per actual request after training.

People then conflate training energy costs to normal usage cost without data to back it up. I don't have the data either but I do have what I can do/see on my side.

It's literally the same thing, the obvious difference is how much usage it's getting at a time per gpu, but everyone seems to assume all these data centers are running at full load at all times for some reason?

So you think they're all at full load at all times? Does that seem reasonable to you?

I mean I literally run a local LLM, while the model sits in memory it's really not using up a crazy amount of resources, I should hook up something to actually measure exactly how much it's pulling vs just looking at htop/atop and guesstimating based on load TBF.

Vs when I play a game and the fans start blaring and it heats up and you can clearly see the usage increasing across various metrics

I'm guessing you're likely also somewhere on the ADHD/Autism spectrum like me.

I do, because they're not at full load the entire time it's in use

How exactly did you come across this "fact"?