2,872 karma · joined March 5, 2021
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The Quant iQ4 of this model loads, then, in ~60GB of vram, and on disk it's 85GB.
So if you could etch it, you'd need a ~25GB ssd chip and 60GB of vram.
The vram costs likely contributed to these things being out of reach of the current economic cycle.
But they're not even talking about that, either.
America has decided they'd prefer to be a 2nd world country. Literally, as defined at the time.
Also, the assumption about AGI, singularity, etc is just a delusion of a cult leader. They might realize that more watts are not getting them more intelligence from LLMs.
2008 triggered a glut of cheap experienced workers that slowly reengaged juniors but this time that the entire ladder is going to be more valuable than any grad.
might as well offer your life to a king to work in their fields.
With the current regime, there might be a next level, but not at all an enjoyable one.
You can, however, argue that you like the art I guess.
So whatever they advertise as the context window, assume the model has been tweaked to keep it a quarter. Other commentors think all models are generally useless past 250k, and that might just be a reality of thesemodels.
Eitherway: they're enshittifying precisely according to hardware vs users vs actual cash on hand, and smaller agents with less cache/vram on hand makes the overall hardware more performant.
This of course is ignoring whether they're trying to stealthly deploy quantized models to eek out even more space on the hardware.
This stuff is easy to learn when you play with local models.
Whatever miracle maker you're talking about, if it exists, should be making you money so, it's either doing that, is a weird train hobby, or a delusion.
We're watching in real time the conditions that created the Luddites.
It's not the consumers of the AI, or the consumers of the real businesses? It just seems like everyone things "if they build it" it'll come.
But it's clear Amazon cares about how it's costomers have to view all the items as both upsells and advertising, and a bot is going to either be _really_ into it or act much like ublockorigin does.
But either way, no company making money on costumer direct sales sees a real benefit to allowing a bot to easily bypass all the necessary details.
Whether it's advertisement, liabilities, manufacturer's recommendations; a bot will ignore these things and generate a costumer expectation that suddenly the producer has to live up to.
Then you'll tell me: YEAH, that's why you need a MCP friendly website.
And I'll tell you: that's how the mafia works.
right. of course, no ones going to cut corners on the safe use of AI and secure infrastructure in this administration.
Perhaps reverse the question: Are your build/construct requirements just really counter-productive to how LLMs need to understand things?
I've found constructing the code, writing the tests, adding the docs; then running through them gets most of the way there.
I've also found that making a simple obvious edit is a useless endevour when the LLM is primed for the long context tasks.
So, again, the question is reversed: are you over reliant on the LLM to do even stupid simple likes like editting a css variable?
there's also probably load balancers that downgrade models during high use.
It is unsurprising that a LLM fails, without coaching, to effectively communicate.
Perfectly rational.