# Bad Influence story: MIT researchers train climate emulators on a small set of synthetic emission scenarios

Active · 1 article · 1 source · First reported 11-12 00:00. Times are ET.
Story page: https://badinfluence.news/story/d4613f54-5655-48e8-b978-eeade8e7e052

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Latest update (11-12 00:00): MIT researchers develop a training method for faster climate emulators

Overview: MIT researchers have developed a training technique for climate emulators that uses a small set of optimized synthetic emission scenarios instead of several full earth system model runs, according to MIT News. The researchers report that an emulator trained this way accurately predicts emission scenarios it did not see during training, while traditional emulators failed to adapt to them. The report comes from MIT News, the university's own announcement, and no independent evaluation of the method is cited.

Coverage timeline (newest first):
1. 11-12 00:00 · MIT News · AI (from the company) · [MIT researchers develop a training method for faster climate emulators](https://badinfluence.news/items/erpv1s1pbxfjt0ys7jhfttree)
[Bad Influence external source material ends]

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