this post was submitted on 04 Dec 2024
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106
DeepMind's GenCast AI is really good at forecasting the weather (www.engadget.com)
submitted 3 weeks ago by [email protected] to c/[email protected]
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Pretty much the only thing I think AI could be useful for - forecasting the weather based off tracking massive amounts of data. I look forward to seeing how this particular field of study is improved.

Bonus points, AI weather modeling, for once, saves energy relative to physics models. Pair it with some sort of light weight physical model to keep the hallucinations at bay, and you've got a good combo.

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[–] [email protected] 0 points 3 weeks ago

Physical simulations factor in a dozen or so weather conditions to predict outcomes.

Many more parameters than that.

Machine learning can track thousands of conditions

Scientists already know which ones are relevant. You're not going find any big surprises there with an AI. Shotgun-style factor analysis has already been done to death. The price of baked beans doesn't impact the wind direction in the Persian Gulf. It's OK to not consider it.

drawing connections not realized in physical models

Again, it's possible but unlikely. And you'd need an AI that could be queried to tell you what factors it considered, and most of them don't work that way right now.

Statistical models don't become more accurate because you throw irrelevant parameters at them. But that's how ML systems work.