Sadly… being wrong is only temporary.

Kinda weird how 3 posts in this thread call/refer to him as trillionaire… doesn’t seem genuine to me.

Clearly their adoption of rushing out AI generated code is working well.

You can ask an AI to speak in other ways, and make up words along the way.

I’ve been enjoying my carbon steel more than cast iron. It’s the same as cast iron for seasoning and non stick, but much lighter.

The power usage isn’t even that much on an individual basis once it’s trained, it’s that they have to build these massive data centers to train and serve millions of users.

I’m not sure it’s much worse than if nvidia had millions of customers using their game streaming service running on 4080s or 4090s for hours on end vs less than an hour of AI compute a day.

It’d be better if we could all just run these things locally and distribute the power and cooling needs, but the hardware is still to expensive.

You have apple with their shared GPU memory starting to give people enough graphics memory to load larger more useful models for inference, in a few more generations with better memory bandwidth and improvements, the need for these data centers for consumer inference can hopefully go down. These are low power as well.

They don’t use CUDA though so aren’t great at training, inference only.

It wasn’t a documentary someone smuggled from the future?

I learned that one the hard way with some delicious sorbitol candies as a teenager.

Supreme court demands AI present its case at hearing

AI speaks incomprehensible gibberish.

Supreme court: it even sounds exactly like Trump, it’s clearly Trump. Approved!

I’d really only call one of them illegitimate (Goursch), unless you want to get in on other things like Clarence Thomas being a corrupt motherfucker who should be impeached and removed.

We have such copious amounts of excess power but its all in off peak times. We need to build batteries or other storage methods so we can capture it in off peak hours for use during peak hours. It also helps stabilize and strengthen the grid.

We should force these data centers to help foot the bill for that instead of doing the stupid shit they’re doing like portable generators, bring coal plants back online and what not.

In this case wouldn’t it be the leopards eating itself?

A nice roasted tail maybe?

Australia isn’t the greatest spot to run a data centre in general in terms of heat, but I do understand the need for sovereign data centres, so this obviously can’t work everywhere.

What makes you think $3.5 million can’t be profitable? A mid sized hospitals heating bill can get into the many hundreds of thousands or into the millions even. Especially if it’s in a colder environment. A 5-6 year payback on that wouldn’t be terrible and would be worth an upfront investment. Even a 10 year payback isn’t terrible.

These colder locations are the ideal locations for the data centres in the first place because they generally want a cooler climate to begin with, so they will gravitate to them when possible.

Edit: And if you build a data centre with this ability to recoup heat, you could start building further commercial things in the area and keep the heat redistribution very close. You don’t need to travel very long distances. You do need to put some thought into where they go through and whats around or will be built around.

For the record my stance triggering this large comment chain was based off what OP wrote about AI.

AI is a crutch for dumb people.

I never said you had to like it or not liking it makes you an idiot.

If you want to say I was calling people who say

AI is a crutch for dumb people.

Are idiots, I’ll accept that accusation.

What does Samsung’s memory division think is going to happen to their phone division if they won’t sell them ram, wow.

I wonder if they realized there weren’t enough GPUs, so they decided lets just build a massive ram cpu/farm to do the job at 1/100th the speed and waste money on the inefficiency.

Are you fucking kidding me? Holy fucking hell.

I just wanted to add one other thing on the hardware side.

These H200’s are power hogs, no doubt about it. But the next generation H300 or whatever it is, will be more efficient as the node process (or whatever its called) gets smaller and the hardware is optimized and can run things faster. I could still see NVIDIA coming out and charging more $/flop or whatever the comparison would be though even if it is more efficient power wise.

But that could mean that the electricity costs to run these models starts to drop if they truly are plateaued. We might not be following moores law on this anymore (I don’t actually know), but were not completely stagnant either.

So IF we are plateaued on this one aspect, then costs should start coming down in future years.

Edit: but they are locking in a lot of overhead costs at today’s prices which could ruin them.

My point is it’s not early anymore. We are near or past the peak of LLM development.

I think we’re just going to have to agree to disagree on this part.

I’ll agree though that IF what you’re saying is true, then they won’t succeed.

You > the trends show that very few want to pay for this service.

Me > These companies have BILLIONS in revenue and millions of customers, and you’re saying very few want to pay

Me > … but you’re making it sound no one wants it

You > … That’s all in your head, mate. I never said that nor did I imply it.

Pretty sure it’s not all in my head.

The heat example was just one small example of things these large data centers (not just AI ones) can do to help lower costs, and they are a real thing that are being considered. It’s not a solution to their power hungry needs, but it is a small step forward on how we can do things better.

https://www.bbc.com/news/articles/cew4080092eo

1Energy said 100 gigawatt hours of energy would be generated through the network each year, equivalent to the heat needed for 20,000 homes.

Edit: Another that is in use: https://www.itbrew.com/stories/2024/07/17/inside-the-data-center-that-heats-up-a-hospital-in-vienna-austria

This system “allows us to cover between 50% and 70% of the hospital’s heating demand, and save up to 4,000 tons of CO2 per year,” he said, also noting that “there are virtually no heat losses” since “the connecting pipe is quite short.”