Submitted 20 hours ago by EndOfLine@lemmy.world to [deleted]
https://lemmy.world/pictrs/image/088864c7-acc7-4e89-b1ba-917a3d791725.jpeg
Isn’t it more like they’re comparing all the hamburgers and everything else you have eating since you were born?
That’s what they’re doing with AI enegry usages isn’t it? I thought it was including the training which is where the greatest costs come from vs just daily running.
it’s really good at writing termination notices without making middle managers feel bad about letting their employees go.
Valid, but not the first two things that I’d come up with.
See, the thing is, I watch piss porn. Hear me out. I told my friend that the thing is, to do piss porn, you kind of have to be into it. You could try and fake it, but it wouldn’t be very convincing. So, my contention is, piss porn is more genuine than other types of porn, because the people partaking are statistically more likely to enjoy doing that type of porn. Which is great, I think, because then they really get into it, which is hot. It’s that enjoyment that gets me off. Their enjoyment.
She said, “Krooklochurm, you’re an idiot. Anyone can fake liking getting pissed in the face.”
So I said, “Well, if you’re so adamant, get in the tub and I’ll piss in your mouth, and let’s see if it’s as easy as you claim.”
So she said, “All right. If I can fist you in the ass afterwards.”
Which I felt was a fair deal, so I took it.
My (formal) position was strengthened significantly by the former event. And I can also attest that I could not convincingly fake enjoying being ass-fisted.
What does that have to do with anything, you ask? Genuinity. The real deal. That’s what.
What the fuck did I just read
Fresh lemmy copypasta
Some lost green text post or the internet comment etiquette guy.
Plot twist, she really did like getting pissed on, and she knew it ahead of time. She was gaming you for that golden shower.
Honestly disgusted to read that, but you do you…:)
What a good piece of meal, thank you
This is nice to be confused with shit porn. Which is just not very good.
In other words, it is shit.
So, you are saying, I should mix my cocaine with twix bars for maximum efficiency? (Would still be stupid, but now more efficiently)??
The left Twix has cocaine in it. The right one does, too, but it comes from the Right Cocaine Twix factory.
Same stupid, more fun
I think if you add some twix bars in the mix you have good chances that it wont get worse because of it. Only logical choice is to go the twix route.
To be fair a lot of people think they’re intelligent and they really really aren’t.
Why do people keep telling me this?
Especially if they’ve had cocaine.
I’m not trying to grade on potential but betting on human potential vs AI potential feels like it rewards ourselves for being better vs a machine. Would we have Albert Einstein if we didn’t have Isaac Newton?
That’s kind of a false dichotomy. They may be separate today, but there’s no reason to believe we won’t augment human minds with artificial neural networks in the future. Not in the magical cure all fix all way techbros like to sell it, but for like really boring and mundane things initially. Think replacing a small damaged part of some brain region, like the visual or auditory cortexes, to repair functional deficiencies. Once they get the basic technology worked out to be reliable, repeatable, and not require too much maintenance (cough subscriptions and software licenses), there’s no reason to believe we won’t progress rapidly to other augmentations and improvements. A simple graphical interface for like a heads up display or a simple audio interface for direct communications both come to mind, but I’m sure our imaginations will be comically optimistic about some things and comically pessimistic about others. All that to say that any true AI potential will be human potential in time. We won’t stop at making super intelligent AGI. We will want to BE super intelligent AGI. Since we already know highly efficient and capable intelligence is possible (see yourself) it’s only a matter of time until we make it ourselves, provided we don’t kill ourselves somehow along the way.
And then the LLMs get trained on those idiots.
It’s not artifical intelligence. A Large Language Model is not intelligent.
And yes yes, scientifically, it belongs there and whatnot. But important is, what the people expect.
That’s the typical discrepancy between “definition of technical term” and “popular expectations evoked by term”. The textbook example used to be “theory”, but I guess AI is set to replace that job too…
I completely agree that LLMs aren’t intelligent. On the other hand, I’m not sure most of what we call intelligence in human behavior is any more intelligent than what LLMs do.
We are certainly capable of a class of intelligence that LLMs can’t even approach, but most of us aren’t using it most of the time. Even much (not all) of our boundary pushing science is just iterating algorithms that made the last discoveries.
Don’t forget the Red Bull and Vodka system coolant…
“Rural Sober”
I’d trade cocaine for massive amounts of caffeine!
How much have you got? I’ve got about 3kg of coffee.
I have about a gallon of liquid caffiene, comes with a pump so you can add it to home made soda one dose at a time.
I suspect you could do the same with coke…
and some of the most intelligent people are cast out from society because they don’t fit the culture of arrogance.
R.I.P Alan Turing
And some of the most intelligent people ARE arrogant twits, unfortunately.
You need a nuclear power plant not for a single AI, but for several million instances of it.
Don’t forget that you can run full OSS ChatGPT on a single Mac Mini, and AI started
I think the entire idea of ai and the Internet in general taking up power and water needs to be fleshed out and explained to everyone. Even to me it’s a vague notion, I heard about it a few years back but can’t explain it to someone like my parents who would have no idea the Internet requires water to run
It’s not too hard. AI requires a LOT of work. Work requires energy. Some energy is wasted during this and the byproduct is heat. The heat has to be removed for many reasons, and water is very good at doing that.
It’s like sweating, it cools you down. But you need water to sweat.
Wasn’t there an article posted yesterday about a group trying to create a biological computer that was living cells do to their efficiency of use on less power? (They are far from close, they basically took skin cells, ionized them, and had no idea how they were going to get them to stay alive long term yet.
Even that won't be anywhere close to the efficiency of neurons.
And actual neurons are not comparable to transistors at all. For starters the behaviour is completely different, closer to more complex logic gates built from transistors, and they're multi-pathway, AND don't behave as binary as transistors do.
Which is why AI technology needs so much power. We're basically virtualising a badly understood version of our own brains. Think of it like, say, PlayStation 4 emulation - it's kinda working but most details are unknown and therefore don't work well, or at best have a "close enough" approximaion of behaviour, at the cost of more resource usage. And virtualisation will always be costly.
Or, I guess, a better example would be one of the many currently trending translation layers (e.g. SteamOS's Proton or macOS' Rosetta or whatever Microsoft was cooking for Windows for the same purpose, but also kinda FEX and Box86/Box64), versus virtual machines. The latter being an approximation of how AI relates to our brains (and by AI here I mean neural network based AI applications, not just LLMs).
There’s already been some work on direct neural network creation to bypass the whole virtualization issue. Some people are working on basically an analog FPGA style silicon based neural network component you can just put in a SOM and integrate into existing PCB electronics. Rather than being traditional logic gates they directly implement the neural network functions in analog, making them much faster and more efficient. I forget what the technology is called but things like that seem like the future to me.
Compare 1 human to one LLM session, instead of one human to all LLMs on Earth, and you’ll see that we’re way less efficient
Also, one human brain training takes feeding for years before it can do useful things.
What’s with all the AI hate? I use it for work and it significantly decreases my workload. I’m getting stuff done in minutes instead of hours. AI slop aside.
The massive corporate AI (LLMs for the most part) are driving up electricity and water usage, negatively impacting communities. They are creating a stock market bubble that will eventually burst. They are sucking up all the hardware, from GPUs to memory, to hard drives and SSDs.
On top of all of that they are in such a rush to expand that a lot of them are installing fossil fuel power on top of running the local grid ragged so they pollute, drive up costs, and all for a 45% average rate of incorrect results.
There are a lot of ethical problems too, but those are the direct negatives to tons of people.
If AI can do your job in minutes you’re either: A fool pumping out AI slop someone else has to fix and you don’t realize it.
Or
Doing a job that really shouldn’t exist.
LLMs can’t do more than shove out a watered down average of things it’s seen before. It can’t really solve problems, it can’t think, all it can do is regurgitate what it’s seen before. Not exactly conducive to quality.
Last time I tried to use AI at work, it decided lobster was vegan.
Every once in a while I try to use it at work. It has yet to actually provide me with anything useful.
Try to play tic tac toe against ChatGPT for example 🤣 (just ask for “let’s play ASCII tic tac toe”)
Practically loses every game against my 4yo child - if it even manages to play according to the rules.
AI: Trained on the entire internet using billions of dollars. 4yo: Just told her the rules of the game twice.
Currently the best LLMs are certainly very “knowledgeable” (as in, they “know” much more than I - or practically any person - do for most topics) but they are certainly far away from intelligence.
You should only use them of you are able to verify the correctness of the output yourself.
"See, no matter how much I'm trying to force this sewing machine to be a racecar, it just can't do it, it's a piece of shit"
Just because there are similarities, if you misuse LLMs, they won't perform well. You have to treat it as a tool, with a specific purpose. In case of LLMs that purpose is to take a bunch of input tokens, analyse them, and output the most likely output tokens that is statistically the "best response". The intelligence is putting that together, not "understanding tic tac toe". Mind you, you can tie in other ML frameworks for specific tasks that are better suited for those -e.g. you can hook up a chess engine (or tic tac toe engine), and that will beat you every single time.
Or an even better example... Instead of asking the LLM to play tic-tac-toe with you, ask it to write a Bash/Python/JavaScript tic-tac-toe game, and try playing against that. You'll be surprised.
effect on environment, and the fact that we know it will definitely lose its good, like TV/Cable, Internet, and any honest useful invention that has been raped by the dark side of human culture within history.
People got roped into a media campaign spear headed by copyright companies.
Hilarious to think nobody could notice how dogshit AI is without being handheld into it.
I hope analog hardware or some other trick will help us in the future to make at least local inference fast and low power.
Local inference isn't really the issue. Relatively low power hardware can already do passable tokens per sec on medium to large size models (40b to 270b). Of course it won't compare to an AWS Bedrock instance, but it is passable.
The reason why you won't get local AI systems - at least not completely - is due to the restrictive nature of the best models. Most actually good models are not open source. At best you'll get a locally runnable GGUF, but not open weights, meaning re-training potential is lost. Not to mention that most of the good and usable solutions tend to have complex interconnected systems so you're not just talking to an LLM but a series of models chained together.
But that doesn't mean that local (not hyperlocal, aka "always on your device" but local to your LAN) inference is impossible or hard. I have a £400 node running 3-4b models at lightning speed, at sub-100W (really sub-60W) power usage. For around £1500-2000 you can get a node that gets similar performance with 32-40b models. For about £4000, you can get a node that does the same with 120b models. Mind you I'm talking about lightning fast performance here, not passable.
For example of course
Ya evolution is pretty cool.
And on that note the human physiology sacrifices quite a bit for its intelligence.
For example the reason humans come out as babies is because if they came out with a full sized brains they’d kill the mother!
It’s all about the most proficient use of energy.
I think we’re at a point we’re the hardware right now does not fit with the algorithm being used. Since they take so much power due to our computers being digital. Having a transistor only capable of holding 2 state (0V or 5V usually) is eneffecient. The heat add up as you multiply especially with LLMs. There is a push to go back to analog where a transistor acts more on a range 0 - 5v. Which in theory could store more information or directly represent what LLM runs on (floating point). For more context 1 float tends to be 32bits. 1 bit is 1 transistor so 1 float = 32 transistor. While an analog transistor could be 1 float = 1 analog transistor.
Do you have a link to any research on a push to analog transistors and their properties? I have been reading up on transistors (and vacuum tubes) but haven’t seen any discussion on this.
Also much lower voltages are typical in modern transistors, from 1-1.5v.
My mistake, I made it look like that’s a fact I’ll edit that as my opinion. Though here is one I can find.
www.nature.com/articles/s43588-024-00753-x
Article also spectrum.ieee.org/analog-ai-2669898661
Back when I was in college, grad students in physics seemed to live on frozen burritos (thawed and cooked in the microwave), and cherry coke.
They have cherry scented cocaine now? It’s about time!
It’s amazing what physicists can make these days.
All it really takes is the Limitless pill. The protagonist in the movie Limitless gets so much done after taking the Limitless pill in the movie Limitless. Limitless is a movie about a man who discovers the Limitless pill to help him accomplish almost limitless amount of things. But he learns that there is a limit that the Limitless pill can do if he takes it for too long. Because the Limitless pill isn’t really limitless.
I think it was called ‘The Man Whose Brain Couldn’t Slow Down’
It’s an efficient, if somewhat finicky intelligence. It checks out commander.
actual intelligence
You have a lot of faith in me.
At this point, I feel like they actually excel at classifying people by political views and all the red number as covered by spy agencies… call it a conspiracy, but its my shot in the dark
itisileclerk@lemmy.world 28 minutes ago
Natural inteligence would not consume Twix and cocaine.