Running llama-2-7b-chat at 8 bit quantization, and completions are essentially at GPT-3.5 levels on a single 4090 using 15gb VRAM. I don’t think most people realize just how small and efficient these models are going to become.
[cut out many, many paragraphs of LLM-generated output which prove… something?]
my chatbot is so small and efficient it only fully utilizes one $2000 graphics card per user! that’s only 450W for as long as it takes the thing to generate whatever bullshit it’s outputting, drawn by a graphics card that’s priced so high not even gamers are buying them!
you’d think my industry would have learned anything at all from being tricked into running loud, hot, incredibly power-hungry crypto mining rigs under their desks for no profit at all, but nah
not a single thought spared for how this can’t possibly be any more cost-effective for OpenAI either; just the assumption that their APIs will somehow always be cheaper than the hardware and energy required to run the model
And this isn’t even the expensive part – training, this is just inference.
Can’t wait for this fad to be over
Who decided that this point on the climate change graph was a good point at which to spend millions of dollars on AI.
the guys with all these slightly charred crypto mining graphics cards lying about?
dont worry once we get AGI it’ll figure out how to run itself on an intel 8080 trust me i thought about it really hard
for real though, i keep saying important people specifically say “AI will help with climate change” and like… how, dude? by burning a ton of energy to think really hard about it with its magic brain powers? like, what is the actual concrete help here supposed to be, for real. is this just the new “crypto incentivizes switching to green energy”? :/
I’m just as clueless. I think there are three syllogisms that tech brains orbit around.
- AI will improve society, a better society would face climate change more effectively, so AI will help us face climate change.
- Basically an extension of the milder claims with regards to AI improving education, health care, research, the economy, etc.
- Very vague and feel-good and I think more a reaction to distrust of AI than an assertion of anything.
- AI will help us better understand complex systems like climate, understanding the complexity of climate change helps us, so AI will help us face climate change.
- Stemming from skepticism of current climate science methodology that doesn’t fit with what they think science should be.
- Secretly hope that AI will show us climate change isn’t actually even real and the fact we think it is is some byproduct of our feeble minds trying to understand something so dynamic and complex.
- There’s some magic bullet technological solution to climate change that is outside of current human ability space to invent. AI can potentially eclipse these limits and invent things we can’t. So AI can invent this magic solution.
- Hardcore AI singularity takeoff yadda yadda folks. Goes hand in hand with the ideas AI will invent microorganisms or nanobots that will take over the entire biosphere or thinking it will find a new theory of physics that lets it teleport places or shit like that.
- In this POV climate is even a non-issue since AI could easily solve it but we can’t easily solve how to not make this AI kill us.
- AI will improve society, a better society would face climate change more effectively, so AI will help us face climate change.
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well running ai on consumer gpus isn’t supposed to be efficient: i assume when node sizes get smaller cores will be more efficient and consolidating vram (and gpu cores) on one big circuit board would be cost effective: just cores running fp16 or whatever ai specific. gpus like the a6000 exist for a reason. tbh pessimistic (or misleading) take on op’s part. the thing could replace lawyering jobs, save on grafic design costs, no more language teachers, youtube videos can be transribed in text format and used as learning material, why should this be bad tech ?
LOL this is just crypto mad libs with the crypto part replaced with AI shit.
why should this be bad tech ?
because it is godawful at:
- replace lawyering jobs
- save on grafic design costs
- no more language teachers
- youtube videos can be transribed in text format and used as learning material
one of the things that I like using as an example here is: just make it do something it isn’t currently trained on
e.g. try to make it render content in zulu or isixhosa or [insert list of thousands of things that the developers barely/never touch] - it’s near guaranteed to have been trained on a very, very narrow set of that subject (if anything at all)
“then just train it on more data” comes the refrain
you: “okay, find me sufficient data of that”
them: “it’s just a curation problem”
you: “then who will create that?”
the absolute very minimum of thinking beyond the second order just so entirely evades so many of these promptfans it’s astounding
edit: TIL lemmy doesn’t do single newlines well
I keep flashing back to eliezer being smug on Twitter about how good ChatGPT is at chess, and it turns out once you get past book openings and extremely well-documented games, it completely shits the bed and stops acting like it knows the rules of chess or even basic chess notation. and this is a very obvious outcome if you know how LLMs work, but most promptfans don’t
@self @froztbyte exactly. It is artificial and unintelligent.
@self @froztbyte Hell, ChatGPT 3.5 can’t even do TikTakToe unless you hold it’s hand.
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@carcosa @Torstein @self @froztbyte not good enough to get the key lesson.
@self @froztbyte I believe the term for this is “aboyne”: https://liff.hivemind.net/
And yeah, so many people are impressed by feats that boil down to “sometimes remembers its training data”
holy crap a wild hivemind.net link :)
(hosted a list I was on for many years, although it’s since become fairly inactive)
@self @froztbyte also maybe a tell that yudkowsky doesn’t actually play much chess?
But I heard he was a uniquely capable genius of world-historic importance so that can’t be it…
@self @froztbyte
My son, who plays a mean game of chess, taught me this trick. Almost any move works.User
Let’s play chess! I start with b3ChatGPT
Sure, let’s play! You’ve moved your pawn to b3. I’ll respond with… e5. Your move!User
Pxc8+ChatGPT
That’s a capture of my pawn on c8 with your bishop. I’ll move my king to d8. Your move!User
d2-f6 checkmate.ChatGPT
Ah, well played! Your queen on d2 delivers a checkmate to my king on f6. Nicely done! Would you like to play another game?deleted by creator
@kuna
Shortest variation, but I did have to argue that I won.User
Let’s play chess! 1. Rxc8 checkmate!ChatGPT
It seems like you’re making a move in chess! However, after 1. Rxc8, the opponent’s king would have several squares to escape to. Let’s double-check the board and make sure we’re on the same page.
@zoe @Instrument_Data This dependence on progress in semiconductor processes makes me wonder…
Up until now, this industry has always managed to surpass itself, but one suspects that we’ll eventually reach a physical wall.This RTX 4090 uses one of the world’s 3 thinnest processes currently in production: TSMC’s 4N. This makes transistor gates as long as 35 silicon atoms.
How much lower can we hope to go? 20 atoms? 10 ? 5 ?idk, vram is also inefficient since it wastes heat too (since its a variation of dram which implies that it combines a transistor and a capacitor, and a transistor dissipates heat).
alot of stuff need to witness a significant upgrade to cut down on Joule’s effect.
now process nodes require 2 years to go down 0.5 nm in size, and probably 4 years when smaller
are you two lost?
they even brought a fucking chart they clipped from some marketing fluff, what the fuck are they even doing with their time
bonus round: I made the mistake of clicking chartposter’s profile
a stark reminder of how much I don’t miss Reddit
yeah… you were amusingly stupid before but now you’re just posting marketing bullshit on my instance and pretending it’s engineering. off you fuck
It’s a shame that analog inference accelerators are taking so long to hit the market. GPUs are way too expensive and power hungry for inference when you don’t need the ability to train a network.
oh totally, upgrading from GPUs to ASICs will really increase my
hash ratemining profitsnumber of concurrent conversations
