this post was submitted on 01 Oct 2023
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The reason is ultimately irrelevant, but I welcome more nuclear energy.
They could just invest in a solar farm or something, they are just a lot more economical.
Nuclear is okay, but the costs compared to renewables are very high, and you have to put a lot of effort and security into building a reactor, compared to a solar panel that you can basically just put up and replace if it snaps.
You probably know this discussion already through.
Edit: Glad to see a nice instance of the discussion going here.
Sucks to wait for the sun to come out to make Bing answer though. "Disclaimer: Answer dependent on cloud cover or night time".
Do you seriously think that Bing trains an AI model when you send a request? Why would they do that?
Oh, they're working on it. It's dumb, but it's happening.
I can't imagine they are. What would the training data of those models be? Why would you train the model when the user sent a request? Why would you wait responding to the request until the model is trained?
Often, these models are a feedback loop. The input from one search query is itself training data that affects the result of the next query.
Sure, but that's not done with the kind of model this thread is about (separate training and inference). You're talking about classical ML models with continuous updates, which you wouldn't run on this kind of GPU infrastructure.
You'd get used to it awfully fast though.