Climate goals go up in smoke as US datacenters turn to coal

https://piefed.social/post/1359360

Climate goals go up in smoke as US datacenters turn to coal

[Client apps for PieFed](https://piefed.social/post/1258559)

Datacenter != AI

If you are using the internet for anything with cloud storage, you are contributing to datacenter growth. And that includes nearly everyone using social media.

Datacenter != AI

Except the demand for new data centers is driven entirely by the capacity constraints of the current AI models.

If you are using the internet for anything with cloud storage, you are contributing to datacenter growth.

“Why are you mad at my SUV when you just adopted a pet chihuahua? They both emit carbon!”

I’m not sure that’s true. Every company uses storage, and every growing company needs more. But very few companies are training generative AIs.

Every company uses storage, and every growing company needs more.

You’re comparing mountains to molehills. That’s before you consider improvements in storage and compression relative to demands for space, or the degree to which our storage capacity “needs” are predicated on the voracious appetite of AI models and their unwanted output. Or, for that matter, the inefficient distribution of data and proliferation of spam data that predates it.

very few companies are training generative AIs

Most US Growth Now Rides on AI—And Economists Suspect a Bubble

The expansion in demand is entirely being driven by the expansion in AI capacity.

Most US Growth Now Rides on AI—And Economists Suspect a Bubble

A Harvard economist says 92% of U.S. growth now comes from AI spending. The Bank of England says we’re one “pop” away from pain.

Yahoo Finance
That article doesn’t say what you imply it does. Companies may be using ChatGPT to grow, but that doesn’t mean they are training AIs.

Companies may be using ChatGPT to grow, but that doesn’t mean they are training AIs.

It’s the MAG7 that’s driving growth. And they’re all fixated on training AI in some capacity

Training a new AI uses a lot of energy. Querying an existing AI uses far less.

It costs $5 for each 10s video generation, based on Azure’s published rates for the first Sora model.

That’s presumably a lot of energy.

The MAG7 operate large and growing cloud services, so their datacenter costs would grow even without any AI training.

And charging $5 for a video query does not mean the query uses $5 of energy. The query is priced to recoup training costs that were already incurred.