Seems to be a "pattern" in AI for weather forecasting --
1. Due to AI hype and funding (even predecessor hype cycles like "big data", ML, even GOF time-series statistics), generate 100s of AI models.
2. Of these, a few perform better than current models and are seen as the "future".
3. One year later models in 2. fail catastrophically.
4. Go back to step 1.
