It is important to keep the main issue clear. Failing to invest in renewables is an existential risk to humanity's future. Permanently shutting all Datacenters (not just AI) saves us about 1 year.

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einpoklum 2 hours ago | parent [-]

I believe you may be basing your figure on current Data Center power consumption. But - it's estimately to grow significantly:

https://www.datacenterdynamics.com/en/news/doe-data-centers-...

also - 1 year is a lot, if we actually act diligently to stave the warming crisis and to prepare for some of the effects through changes to construction & infrastructure.

Still, I would agree that Data Centers are just one particular aspect of the struggle against global warming.

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benjiro29 an hour ago | parent [-]

Ironically, we are also moving to more capable / faster models that use less power. DeepSeek V4 Flash 0731 is so extreme capable and comparability to a lot of models cheap to run.

We are seeing stuff like AMD buying Taalas, with their Llama 3 8B on a chip, being able to push 17.000 tokens / second.

https://chatjimmy.ai/

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People need to understand, that even AI companies do not like to build datacenters and the high energy needs. It cost them money and they are also looking at ways to develop better hardware / solutions that gives them more inference for cheaper (what means less power draw / heat generated).

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smolder 44 minutes ago | parent | next [-]

I just tested out chatjimmy and a bit and it did some misinterpretation of my prompts, E.g. "write me a python script to generate insults for a name given by command line" had multiple of the same insult in the insult list, and it had a list of names like John and Jane instead of doing the obvious thing and making the name a variable. Not good code.

	▲	kgeist 29 minutes ago \| parent [-]
		It's an old, small model, so that's expected. It's more of a prototype.

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niek_pas an hour ago | parent | prev [-]

Unfortunately, "more capable / faster models that use less power" will likely mean those models will be used in more places than ever before. LLMs on laptops, on tablets, on phones, on fridges, in your web browser. See the Jevons paradox.