- cross-posted to:
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- cross-posted to:
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cross-posted from: https://ponder.cat/post/1486028
A new artificial intelligence model from China not only upended stock markets this week, it also called into question whether the rush to build new, mostly fossil-fueled power plants to run data centers is premature.
More of the energy cost is in training rather than use.
Sure. But more AI adoption also means more AI training or fine tuning, doesn’t it? I mean the only option where training stops is if it doesn’t make progress any more. So yes, if it’s just one company and there isn’t much competition I’m sure less training will happen. But competition kind of incentivises them to do more. Plus there are other tasks that could be done if we don’t need to all focus on inefficient training of singular big chatbot models… Like multimodality, robotics, specific tasks… Making them more efficient for mobile use, or just more intelligent… I’m sure people will find other uses for the training farms. Or it’ll just become more people. But yeah, we’ll have to see.