Into:Zeus
AI weather forecasting, decentralized
As of · Jun 4, 10:37 UTC
Zeus replaces supercomputer-dependent weather forecasting with a decentralized network of competing AI models, benchmarking them against the world's largest environmental dataset. The result: faster, cheaper, and continuously improving environmental predictions.
What is Zeus
Zeus (SN18) is a Bittensor built by Orpheus AI that incentivizes to develop and run AI models that forecast environmental variables. Miners compete to produce the most accurate, lowest-latency weather predictions, scored against real ERA5 climate data from the European Union's Copernicus program.
The simple version: It's like a global competition where AI models race to predict tomorrow's weather as accurately as possible, and the winners earn rewards.
Centralized equivalent: ECMWF IFS HRES, IBM The Weather Company, or traditional Numerical Weather Prediction (NWP) systems running on expensive supercomputers.
How it works:
- Miners run AI forecasting models that predict environmental variables (temperature, wind, precipitation) at specific locations and timestamps, for both short-range (48 hours) and long-range (15 days) horizons
- issue challenges using ERA5 reanalysis data, evaluate miner forecasts using Root Mean Squared Error (RMSE, 80% of score) and response latency (20% of score), then set weights via a commit-reveal flow
Why This Matters
- The problem it solves:
Other research from the same neighborhood of the network.
