Last night, the National Weather Service's Webpage included a discussion of Hurricane Fabian that said, in effect (I don't remember the exact wording) "it's not clear why the forecasting models say X, but we'll accept it."

Our software is starting to know things that the human experts don't. That's a step toward AI, and a useful one: machines that can do something valuable that humans can't do ourselves, namely predict how hurricanes will behave.

From: [identity profile] wild-irises.livejournal.com


It's been an accepted point in the simulation world for some years that when a simulation does something _unexpected_, you begin to have a chance that it's really simulating something (of course, it can also be dead wrong, but it's going on a track that no one intentionally put in). I came across this first talking to someone about a major simulation his university was running to simulate how humans congregate, and, if I remember correctly, the thing invented the post office! None of the simulators had been looking in that direction.
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