[hypercube33]

I'm almost shocked we don't have a large weather model instead of a language model. Seems right up the alley.

Also I don't get what happened but I think it was AccuWeather or weather underground in the early 2000s where it was to the minute accurate and it seems like it's gotten worse since everywhere.

[_bypa]

Google, Microsoft, Huawei, NVIDIA all have AI weather forecast models:

https://deepmind.google/science/weathernext/

https://microsoft.github.io/aurora/intro.html

https://www.huawei.com/en/news/2023/8/pangu-weather-forcast

https://blogs.nvidia.com/blog/nvidia-earth-2-open-models/

A Swiss startup named Jua does this for energy markets. Disclosure: I used to work there.

[danpalmer]

I think Google's weather models could be called LWMs. They're doing interesting research in this space.

[wombatpm]

Weather Underground had a very reasonable feed that you could subscribe to back in 2000. I use d then for a cluster of farming websites I built then.

[counters]

> I'm almost shocked we don't have a large weather model instead of a language model. Seems right up the alley.

We do have such models. A bunch of them actually:

- Google DeepMind's "WeatherNext2" - Microsoft's Aurora - NVIDIA's FourCastNet-3 + Atlas + Climate-in-a-Bottle - ECMWF's AIFS ...

The list goes on. Plenty of small startups have repeated the recipe for building these types of models with their own architectural twist, too.