It does not use AI data centers. Those are not remotely on the same scale as what we called a data center before this LLM hype started. This infrastructure will not have another use once the bubble pops.
There is a difference between using X amount of resource to provide an actual output that justify spending X amount of resource, and using X*1000 resources to provide zilch.
It doesn’t need nearly as many. AI inference is orders of magnitude more expensive than a single search query (ignoring the fact that Google does it’s own inference with search queries now). And that doesn’t even include training, which is stupidly expensive to do.
Are you under the impression that a web search does not use data centers?
Google in particular has a lot of infra to support their search, which actually used to be good
It does not use AI data centers. Those are not remotely on the same scale as what we called a data center before this LLM hype started. This infrastructure will not have another use once the bubble pops.
There is a difference between using X amount of resource to provide an actual output that justify spending X amount of resource, and using X*1000 resources to provide zilch.
It doesn’t need nearly as many. AI inference is orders of magnitude more expensive than a single search query (ignoring the fact that Google does it’s own inference with search queries now). And that doesn’t even include training, which is stupidly expensive to do.
Sure. But let’s not pretend Web search is innocent here. Wanna be eco friendly, walk to your local library.
Using this a lot lately, huh