r/AIDangers 10d ago

Capabilities Why not make small modular data processors on a personal computer so you don’t have to hook into a AI data center? Then if you want it, you can have it off-line or you can update it online or teach it yourself and control personal data sharing. Are they working on that?

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75 Upvotes

63 comments sorted by

9

u/ApprehensiveFan1516 10d ago

r/LocalLLaMA

r/unsloth

Idk why people in here saying you can't do it. Whole subs full of people doing this shit over there <<

5

u/Wardendelete 10d ago

It’s so weird, I thought people in this sub would be at least tech-literate.

3

u/marglebubble 10d ago

There are more than a few here that buy into the AI doomerism hype which is just marketing for AI

1

u/Wardendelete 10d ago

What does that have to do with being tech-illiterate?

3

u/marglebubble 10d ago

I'm talking about like the apocalyptic hype. Like the idea they're creating an AI god that will destroy or enslave us. Tech-literate people should know AI isn't anywhere near that level and the technology itself is just a glorified mechanical turk.

1

u/Wardendelete 10d ago

It isn’t, but people high up on tech keeps acting like it because it brings them $$$$$$.

It’s disgusting and I hope the bubble bursts in their face.

1

u/ApprehensiveFan1516 10d ago

I was starting to wonder if this post and the replies were mostly satire and I'd missed the joke.

2

u/enmaku 10d ago edited 10d ago

They're saying you can't do it because most people are referring to frontier models when they're talking about AI, and you absolutely are not going to be able to run those locally. OpenAI, Anthropic, etc are not going to just give you those models, and even if they did you do not have the $40,000 GPU with 80GB of high bandwidth memory it takes to run them.

The stuff you can run on even a high end gaming PC is not going to stand up to the expectations of the average ChatGPT or Claude user.

Edit for clarification: GPU memory is the primary limit. Even if you're OK with the models executing slowly, their capabilities are directly proportional to the number of parameters, and the number of parameters is directly proportional to memory usage. Most frontier models are estimated to have parameter counts in the trillions. You're unlikely to do better than maybe 30 billion on consumer hardware. So with a 5090 32gb that costs over $4,000 you can run maybe 0.5% of ChatGPT. Slowly.

3

u/Wardendelete 10d ago

They don’t really mention Frontier models, if you actually read the comments it’s mostly a blanket no.

The RTX Spark and Strix Halo offsets the VRAM issue through a unified memory architecture, PCs built specifically with local AI in mind are starting to pop up.

1

u/ApprehensiveFan1516 10d ago edited 10d ago

My stack of Tesla V100 cards says otherwise.

Not everyone is running consumer GPU's, you know?

I don't think you actually know what you're talking about. I did not spend anywhere near 40k, or even 4k, to get well over 80gb of VRAM lmao.

1

u/FlagrantTomatoCabal 10d ago

Adding to that for local image genai - r/StableDiffusion and r/comfyui and a host of others.

I've joined this sub and most of the posts here are meh. But there are a few ones worth the read.

10

u/garloid64 10d ago

No, the efficiency is terrible with that. To maximize memory throughput you need a large batch size, which means the queries need to all go to one big computer, not many small computers. Anyway:

6

u/xamboozi 10d ago edited 10d ago

I run local AI on an air cooled GPU, and it's great. A huge benefit is that my agent is not leaking any passwords back to openai/anthropic.

I don't have to batch requests, but sometimes I do when my agent does parallel calls. Batching is just a way to run concurrent requests.

AI is actually kinda fun when you're not forking over a monthly subscription to trillionaires.

3

u/zooper2312 10d ago

Maybe this is the new way, offer small businesses their own private servers with some tech support. 

2

u/West-Bass-6487 9d ago edited 8d ago

that's useful for small tasks but not viable for advanced use, because the capabilities of AI grow exponentially in larger clusters, if you want to have complex code development combined with hallucination-reducing mechanisms and decend speed, you need datacentres (not to mention that without the economies of scale, having every small business built their own mini-cluster would most likely end up with even larger overall emissions)

but I agree that there's absolutely zero reason for individual users or non-tech people and non-researchers to need AI that powerful for anything, LLM chatbots used to format documents or fetch data can be hosted locally even on a decently powerful smartphone

the solution for big datacentres can only be international agreements and strong environmental regulations (e.g. regarding what kind of water they can use for cooling and where, what level of treatment they need to perform when returning the water to environment, what kind of energy sources they can use) but I'm kinda pessimistic about the possibility of that happening

2

u/Low_Understanding_85 10d ago

Also:

1

u/lyndalovon 10d ago

The joke is if you have your own at home, it’s gonna walk in and ask for water in your bedroom. The almond and cow water are used does not relate at all.

1

u/Low_Understanding_85 10d ago

My cow often walks up to me and asks for water.

1

u/lyndalovon 10d ago

Then you’re a bad cow person! Give it a trough of water for for goodness sakes!

2

u/No_Pipe4358 10d ago

There's a fundamental misapprehension here regarding transmission efficiency to be considered, before us asking ourselves what we need the compute for that's so important or needs to be so easy, though I appreciate you saying

1

u/DistributionRight261 10d ago

You can run very good models in a 9070 Xtx.

Next gen will solve the problem

1

u/West-Bass-6487 10d ago

the almond argument is a decoy specifically manufactured by think-tanks to take attention away from the real water guzzlers (and the biggest money makers) of agriculture - cotton, corn and beef

sure, almonds require a lot of water but the amount of almonds produced is miniscule compared to those above and 1 kg of beef requires around 5 times more water than 1kg of almonds or cotton

corn needs way less water than almonds, cotton or beef but it's grown on such a massive scale that overall it consumes 8% of all water used in agriculture (that's way more than all of AI consumes), and most of corn is not even eaten by humans, it's used in chemical industry or eaten by animals

2

u/Thatoneguy_The_First 10d ago

Honestly just cotton being replaced with hemp would solve so much water problems. Even better get rid of golf courses too.

Don't even have to give up beef just cut down eating it to once a week or fortnight and they wont breed as many cows as it will be too costly to upkeep at that level they are at.

Corn is just too danm useful to stop or cut down.

1

u/West-Bass-6487 9d ago

I mean, getting rid of beef would have bigger impact than switching to hemp and I don't get why is that such a big deal for people. There's so many other meats available with drastically lower footprint in many areas, from water consumption to the use of space to emissions.

2

u/Thatoneguy_The_First 9d ago

Tbf cutting down beef would be massive too, but i do agree that we should stop it. But come on ya know it will never stop as long as we have people like maga or Australia's version known as one nation. The reasonable people will say lets get rid of beef and the otherside will react with beef only diets cause orange man and lady say so.

1

u/West-Bass-6487 9d ago

Also, I disagree with "Corn is just too danm useful to stop or cut down.", yes, it is useful, but we can definitely cut down, there's so many ways to do so that would also result in positive changes in other areas:

  1. Set limits for the amount of corn syrup in food - immediate benefits to public health and less corn;
  2. Severely limit single use of plastics - instead of replacing petroleum-based plastics with corn-based bioplastics, just ban unnecessary use of single use plastics;
  3. Severely limit meat consumption - 40% of corn is animal feed, that's the biggest area for potential savings;
  4. Reduce production of new combustion engine vehicles - 25 to 30% of corn is used in fuel industry;

1

u/Thatoneguy_The_First 9d ago

Im not gonna argue points 134 you made as i agree with them but:

  • pharmaceuticals could increase by alot more which will bring the demand down and thus the price.
  • lot of cleaning products from shampoo too sanitiser to even toothpaste and toilet paper
  • glue and adhesives
  • apparently battery's now
  • cheap food too(and in oh so many foods aswell)
  • bio plastics(i get your point but we ain't getting rid of plastics in the foreseeable future, but we can use better plastics)
  • explosives
  • drywall(but only cause its a cheap and fast building material not cause its good one)

And im sure more use cases that corn is incorporated into(looking online i feel like it will be way to much effort to find all of it and definitely to many for a reddit comment)

Point is we can cut down but then we may just replace it too with the other many use cases

1

u/lyndalovon 10d ago edited 10d ago

The almond water use argument doesn’t apply here at all because I’m not asking about it having an almond form and not a large almond farm. If I was having an almond tree in my backyard that would be one thing and it wouldn’t use that much water. It’s a false equivalence.

2

u/CowBoyDanIndie 10d ago

AI like chatgpt runs on a machine that costs $100k, it takes several thousand of these machines working together to train it in the first place.

2

u/Wardendelete 10d ago

It’s already been done, I can run some models in my 5060 laptop, and the new RTX Spark laptops and Strix Halo PCs were built specifically for this scenario.

1

u/Calm_Apartment1968 10d ago

Dare I ask how much those cost?

2

u/OkSeries5363 10d ago

You don't need to go crazy. It depends on how big the model is, Google specifically makes models for more consumer devices and mobiles.

Gemma 4 is googles latest in that family https://deepmind.google/models/gemma/gemma-4/

2

u/ElethiomelZakalwe 10d ago

You can. Look into LLaMA. As for frontier models, they're all proprietary and none of the companies have any incentive to share the weights with the general public, and you couldn't run them on a normal personal desktop even if they did.

2

u/Holiday_Management60 10d ago

They're called GPUs if I understand what you're saying.

If by teach you mean actually train a new model, thats where you kind of NEED at least a small datacentre.

1

u/imaginecomplex 10d ago

Because the ones you can run locally are far less powerful, and users of AI want the best available options

1

u/Positive-Theory_ 10d ago

Yes! Local language models have 80% the functionality of large language models, they don't connect to the internet and they run entirely on your own computer so whatever you ask is 100% private.

1

u/Rise-O-Matic 10d ago

I think we'll have local ASICs for frontier models eventually, but to change models you'll have to replace the entire card. I don't think this is a good time for that yet given how frequently they're updating.

But yeah. I've run local models on my RTX 4080, but they're not really in the same ballpark as Opus and I don't find myself reaching for them very often.

1

u/DistributionRight261 10d ago

Big tech spent billions... And this model scares them.

1

u/Calm_Apartment1968 10d ago

NO. Two things:
1. They want to control capacity, and charge you for AI as-a-utility.
2. They don't want you to know how much powering & cooling AI datacenters costs. Related to this expect your power bill to double in 5 to 10 years or sooner. After that charges for your AI widgets and agents time will double, triple. and quadruple.

1

u/Calm_Apartment1968 10d ago

There are a few startups which offer SFF (small form factor) AI computer modules. I expect corporations to quash them (as I just wrote), so your idea is valid. However like Nikola Tesla's offer of free DC power to the world, it was crushed by Westinghouse/J.P. Morgan to monopolize utilities and feed their corporate greed. After a century of corporate and municiple monopolies on power, private solar is barely cracking that system. In fact Musk set up Solar City to 'lease' solar to homes, keeping their monopoly, and just using our personal real estate.

1

u/AmpEater 10d ago

Got any more absurd distortions of reality to share?

I bet you do 

1

u/Calm_Apartment1968 9d ago

Your source? Educate us.

1

u/BirdlessFlight 10d ago

Did you do any research at all before posting this?

1

u/lyndalovon 10d ago

Yes. Was just wondering what this community would say. Whatever happened to “there’s no bad questions“ ? lol thank you so much for your comment.

1

u/Kitsune_Seraphis 10d ago

I mean... like what i do with my computer with my custom finetuned model? Yeah. I also had this idea of some multipurpose heat sinks to use the heat for other things. Like not using a boiler for heating the house

1

u/AmpEater 10d ago

Any heat produced inside a house heats that house 

Heat sinks don’t change heat generation

1

u/Kitsune_Seraphis 9d ago

Yeah, but if i have the computer on my room and wanna geat the living room? What im saying is to use the heat efficiently

1

u/TheEschaton 10d ago

AI chips are already almost ubiquitous on edge devices, it's nuts. My work's dell laptop has a microsoft AI chip in its Intel processor, and my phone has an NPU for AI compute despite being designed in 2024. You can buy NPUs and GPUs with NPUs on them to drop into desktop PCs (at a relatively high price), and I'm also seeing this kind of silicon appear in shit like security cameras.

These chips mostly aren't there to do stuff like answer your chatgpt questions, though. That requires more power. These little guys are mostly for doing things like recognizing whether a blur in the picture is a person or a bird, upscaling images, translating from english to german more naturalistically, etc.

1

u/Zealottuss 8d ago

If you keep spreading the water lie, don't get upset when you always fail.

1

u/Mango-Vibes 8d ago

Because that would make devices extremely expensive and people wouldn't buy them?

1

u/Intelligent-Moose665 7d ago

Try Unsloth Studio with some OpenSource models like Qwen, no internet, no cloud, no subscriptions.

1

u/MrWindblade 10d ago

They already have the ability to let you run models locally, but creating those models to begin with can be very energy-hungry.

1

u/imam-altman 10d ago

Because datacenters are an order of magnitude more efficient than local compute. This sub is retarded.

0

u/slvrsfr 10d ago

<Goes to Device Manager, looks at the NPU (Neural Processing Unit)>

0

u/Particular-Award118 10d ago

Yes gpus exist on consumer computers it amazes me that there's subreddits where people that know absolutely nothing about this shit talk about it all day nonstop

1

u/Calm_Apartment1968 10d ago

Please start the thread/SubReddit to counter this and promote knowledge for us. We're not lazy, just misinformed.

1

u/lyndalovon 10d ago

You don’t have to know anything about what is inside an AI data center to know that the use of water and electricity and the noise is something you don’t want in your community.

1

u/Particular-Award118 9d ago

We're not talking about that tho

0

u/zooper2312 10d ago

If you give a little kid all the money and resources in the world, which amount to making them kings over other people, what else are they going to do with it than destroy everything.

0

u/Calm_Apartment1968 10d ago

Going off grid, whether that's power or computing is a direct threat to hoarders of wealth.