the size of the framebuffer has nothing to do with how much power the device has to fill it up.

Even the crappiest integrated gpu is “4k” capable

they need none of that stuff. It’s your own pc that handles the heavy stuff. From their end, the only point is to allow you to stream videos from behind one or more NATs

well you can’t compress anything by making it into an iso. Because iso does exactly zero compression whatsoever.

improved, but still bullshit

I read that as “if you do the thinking for them, LLMs are quite good”

it was first invented by Tigger, too!

open core isn’t open source, imo.

;)

or up the peehole

I haven’t got this one yet. I want one with the new picture! I feel left out

just because it is used for stuff, doesn’t mean it should be used for stuff. example: certain ai companies prohibit applicants from using ai when applying.

Lots of things have had tons of money poured into them only to end up worthless once the hype ended. Remember nfts? remember the metaverse? String theory has never made a testable prediction either, but a lot of physicists have wasted a ton of time on it.

we already knew what X was. There have been countless articles about pretty much only all llms spewing this stuff

the model does X.

The finetuned model also does X.

it is not news

again: hype train, fomo, bubble.

so? the original model would have spat out that bs anyway

here you go

it’s not everyone’s cup of tea, and that’s fine. It’s not awful though. Arcane, yes. very powerful? also yes.

well yeah, I tend to read things before I form an opinion about them.

ever heard of hype trains, fomo and bubbles?

well the answer is in the first sentence. They did not train a model. They fine tuned an already trained one. Why the hell is any of this surprising anyone? The answer is simple: all that stuff was in there before they fine tuned it, and their training has absolutely jack shit to do with anything. This is just someone looking to put their name on a paper