[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Mariuszek [@sobczak_mariusz](/creator/twitter/sobczak_mariusz) on x 3405 followers Created: 2025-07-22 16:41:25 UTC So I got interested in @zeussubnet $TAO subnet XX recently. Just watched @markjeffrey episode and found its story to be interesting to say the least. @zeussubnet is tackling a real world problem. Weather forecasting. An actual use case thats a trillion dollar global industry. Interestingly their market cap is $XXX million and a XX percent emissions yield. What pulled me in was Wall Street. Every natural gas trader, every hedge fund with commodity exposure, every energy desk is tuned into weather. A one degree drop in forecasted temperature can move billions in derivatives. This is a huge business and @zeussubnet generate weather predictions based on global historical data (ERA-5). It already demonstrates a ~40% reduction in RMSE (error) vs vanilla baselines One of Zeus’s engineers worked on weather modeling at Cambridge. Just presented a paper at a major AI conference. They’re using diffusion models, region specific fine tuning, and validators assign forecasting tasks. So what’s the catch. Why is this thing valued at $XXX million. Why is something that touches power grids, crops, insurance, and volatility markets still under the radar. The short answer is I don’t know, most traditional weather predictions companies are valued at around $X billion, so here lies an enormous potential for repricing. The kind of opportunity only possible on $TAO XXXXX engagements  **Related Topics** [market cap](/topic/market-cap) [tao](/topic/tao) [wall street](/topic/wall-street) [money](/topic/money) [$tao](/topic/$tao) [bittensor](/topic/bittensor) [coins layer 1](/topic/coins-layer-1) [coins dao](/topic/coins-dao) [Post Link](https://x.com/sobczak_mariusz/status/1947698506828812719)
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Mariuszek @sobczak_mariusz on x 3405 followers
Created: 2025-07-22 16:41:25 UTC
So I got interested in @zeussubnet $TAO subnet XX recently. Just watched @markjeffrey episode and found its story to be interesting to say the least. @zeussubnet is tackling a real world problem. Weather forecasting. An actual use case thats a trillion dollar global industry. Interestingly their market cap is $XXX million and a XX percent emissions yield. What pulled me in was Wall Street. Every natural gas trader, every hedge fund with commodity exposure, every energy desk is tuned into weather. A one degree drop in forecasted temperature can move billions in derivatives. This is a huge business and @zeussubnet generate weather predictions based on global historical data (ERA-5). It already demonstrates a ~40% reduction in RMSE (error) vs vanilla baselines One of Zeus’s engineers worked on weather modeling at Cambridge. Just presented a paper at a major AI conference. They’re using diffusion models, region specific fine tuning, and validators assign forecasting tasks. So what’s the catch. Why is this thing valued at $XXX million. Why is something that touches power grids, crops, insurance, and volatility markets still under the radar. The short answer is I don’t know, most traditional weather predictions companies are valued at around $X billion, so here lies an enormous potential for repricing. The kind of opportunity only possible on $TAO
XXXXX engagements
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