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.
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?
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.
deleted by creator
It’s too late. Scam Altman won.
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.
Why does it always have to do with data centers?
The priorities of the wealthy are what’s reflected in the news.
That’s how you bait the worst people on the planet into giving you money
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!”
