Or we could just not build new data centers to run AI models that have zero practical use?
We could also just not build data centers in already drought-stricken areas just because those areas are majority poor and majority POC?
We could also find a usecase for AI first, and then worry about the expansion later?
Look man, LLMs have a lot of fuckin problems but pretending they don't have any legitimate usecase is just sticking your head in the sand. There are real, tangible uses for LLMs that people do every day. As a work tool. The AI snake oil slop is also a massive problem but LLM's aren't crypto. They are actually useful.
crypto is useful too, without monero i wouldnt have hrt. place i live in is a shithole and doctors are highly restrictive and far too expensive
but monero is the best one in terms of privacy and it is unprofitable to mine it unless you have the latest and greatest green processor
You make a good point. I forget about monero in contrast to the rest of the crypto shitfest.
The only place I've heard of it being genuinely useful is in scientific applications where they review and verify the outputs. Pretty much anywhere else it gets a quick glance and a thumbs up before it's shipped out the door.
While that's unfortunately true in more places than it should be, that's not its only use. Its a tool like any other.
Edit: I also don't thing those are normally LLM's but instead machine learning algorithms. The thing that "ai" used to be til ChatGPT came along
Name one single use case for LLMs that shows they are better or cheaper than humans.
LLMs are just a tool, just like airplanes or hammers. An airplane is very expensive, but better at going really far distances than humans can on foot. A hammer is cheaper than a human, but by itself is useless unless operated properly. Despite the tone of the outputs, LLMs should not be authoritative and human judgement shouldn't be replaced with them.
Just on the security side of coding, highly skilled security engineers at Mozilla were able to use Claude Mythos to identify and address many issues to make Firefox more secure. Some if these issues were introduced over 10 years ago, and a human could have identified and fixed them but human speed of reading and finding will always be a bottleneck. Having highly skilled humans offload the slow task to go through the codebase and raise issues, allowed them to find and understand the nuanced problem, and work on a fix. The key here is giving the people with the skills the ability be enhanced with LLMs, not replace them with one.
In short, they're great at finding and flagging things for a human to review.
The problem is when someone overestimates how well these models perform and they try to automate everything and put too much trust into these models.
This is 100% correct and both sides of this are super annoying and stupid. Its not an all knowing god but IRS also not a complete waste of time and energy.
I mean thats easy. Did you miss the part where I said tool?
Rapid prototyping of weekend projects.
The starting point for troubleshooting said weekend projects.
Do you know how much it would cost me to pay a human to fill that role?
You realize how much you're robbing yourself when you do that, right?
Do those goal posts you keep moving come with wheels, or do you have to carry them by hand?
They just get all the other brainlets to help them move em as seen by the support on such stupid takes as that.
I can't believe farmers use tractors and cultivators instead of just manually tilling the farm. Don't they know how much they're robbing themselves?
I can't believe doctors use xrays to look at bones instead of cutting people open. Don't they know how much they're robbing themselves?
Are you an idiot or are you so deeply entrenched in the whole "AI will always be useless" thing that you can't even see that its a tool that has a purpose which is to reduce toil which is EXACTLY what I've described using it for.
Why tf do you need to protype and troubleshoot a “weekend project” or hire someone to do that? You protyping your hydrangea trimming or lawn mowing? You troubleshooting your vacuuming? Humans don’t, never have and never will need an AI to do “weekend projects” - doing the planning and thinking is literally what makes you a human, you’re giving up your humanity and reverting to an animal because you don’t want to sit down for a few hours and plan out a vegetable garden?
I can't believe farmers are so lazy to use tractors and cultivators instead of just manually tilling the farm like a real human.
I can't believe doctors use xrays to look at bones instead of cutting people open like real humans.
I'm going to assume you have never done anything technically challenging in your life and explain this to you simply. When people do difficult technical things like programming or robotics projects, its best to be able to plan things out. And having a mockup or prototype of this is very useful. Hence why 3d modelling is so useful. So either you have no idea what you're talking about or you're just an idiot. Which is it?
And to answer your question I have a black thumb. Can't grow shit. But I did build an automatic watering system for my partners peppers plants. But I suppose that mean she's given up what it means to be human too.
Fixing small computer or programming issues in a single prompt, instead of clicking through 6 different ad-infesteted, SEO optimized websites with 95% filler text and redundant phrases before giving a wrong answer.
I once had an AI chatbot clean up a 3D model in under a minute with just a simple command
So you’re using it to prevent yourself from learning?
I learned a lot of stuff when I used AI. About python, intelligence, transformer architecture...
"bUt ThAt DoEsNt CoUnT" — cultists
Learning? By wasting a few hours doing the most mundane 3D work?
I just wish people would leave more comments about how they don't like AI. If AI is not gone by 2030, the only reason is because people didn't comment about it enough.
Actually it'll be pretty limited because you AI-bros pissed off the normies you need to approve your giant data centers. over 400 plans for Data centers have been delayed or permanently stopped because people do not want them anywhere near them. They don't bring jobs, they ruin the local water table permanently (on a human scale), and don't provide any useful function as there is not one single AI service that is profitable.
Why would we need data centers in 2030? It'll just run on consumer hardware then.
It's too late. Scam Altman won.
What they are describing here is Spintronics; https://en.wikipedia.org/wiki/Spintronics
Would be nice if the paper they reference was public access 🙄
Edit; another reference https://pmc.ncbi.nlm.nih.gov/articles/PMC11503717/
I read the wiki. Still have no clue haha
wtf thats a real thing? I thought my physics professor was just joking when he said spintronics once
Following the successful laboratory demonstration, a prototype chip could be ready by 2030, the scientists said in the study.
The researchers think a further reduction in the thickness of the Mn3Sn layer will reduce power consumption even more. The next challenge, they added, will be to develop a commercially viable bulk manufacturing process capable of building the device at scale.
Aside from the viability of producing the chips at scale with rare minerals, there’s another item I don’t see answered: they’ve produced one of these in the lab — but that’s like producing one transistor. Modern CPUs have ~20billion transistors. How tight can these new systems be packed? If they’re fast and efficient but 20 billion of them would take up a football field, that’s not going to be very useful.
Yeah, it sounds great on paper. But I won't hold my breath.
The “could” in the title is doing some heavy lifting.
What we heard: "You can get the processing power you need at 1/1000th the scale!"
What investors heard: "Data centers just got 1000x more valuable!"
Why does it always have to do with data centers?
That's how you bait the worst people on the planet into giving you money
The priorities of the wealthy are what's reflected in the news.
Huh. Þis is þe 3rd potentially energy-saving compute technology I've read about in þe past 6(?) mos. Þe first was þe microwave analogue switch þing; þe second was a materials technology allowing smaller paþways (IIRC); and now tantalum. Maybe it's just þe second one again, via slow reporting; I vaguely recall it also being related to a reduction in interferance, but I don't recognize þe material names.
Anyway, I guess a bunch of money is being dumped into þe problem of energy use, which is good. Even if it's LLMs driving it, any advances will still benefit all compute.
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