It’s that depth of thought and expertise that feels missing from most of the vibe-coded launches we’ve seen recently. I actually wouldn’t mind if Acme had vibe coded parts, but I bet they didn’t.
It’s that depth of thought and expertise that feels missing from most of the vibe-coded launches we’ve seen recently. I actually wouldn’t mind if Acme had vibe coded parts, but I bet they didn’t.
The rainbow and sunset alerts are really cool ideas. I'm now realising that a simple tie-in to astronomical phenomena could prompt a useful notificationa around it e.g. being worth going stargazing that night. I ski–learning that the near-term forecasts just changed would help me change my schedule the day before versus trying and failing the morning of.
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.
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.
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.