cbodnar

7 ms·

1. 1.▲
   by cbodnar 2y ago

   Thanks! We will check it out.
2. 2.▲
   by cbodnar 2y ago

   I am curious, what would you do with this data if you had infinite resources?
3. 3.▲
   by cbodnar 2y ago

   That's pretty cool! Would be great to learn more about your app and how the wave/tide prediction was working. Is there some place to read more about this?
4. 4.▲
   by cbodnar 2y ago

   Re question 1: LLMs are already working pretty well for video generation (e.g. see Sora). You can also think of weather as some sort of video generation problem where you have hundreds of channels (one for each variable). So this is not inc
5. 5.▲
   by cbodnar 2y ago

   Agree looking at ensembles is super essential in this context and this is what the end of our blogpost is meant to highlight. At the same time, a good control run is also a prerequisite for good ensembles. Re NeuralGCM, indeed, our post sho
6. 6.▲
   by cbodnar 2y ago

   Volcanoes are a tricky one. There are a few volcanic eruptions in historical data, but it's unclear if this is enough to predict reasonably well how such future eruptions (especially at unseen locations) will affect the weather. Would
7. 7.▲
   by cbodnar 2y ago

   Not immediately, but we will consider open sourcing some of our future work. At least, we definitely plan to be very open with our metrics and how well (or bad) our models are doing.