🚨 🚨 $TAO’s SN91 Cascade is showing what open competition can do: same-size model, 84.6% fewer reported training tokens, and better scores than Toto 2.0 4M on two TIME forecasting metrics. Cascade beating Datadog’s Toto 2.0 4M on TIME: • 1.27% lower probabilistic forecasting error • 0.40% lower scaled forecast error 519B training tokens versus 3.36T. Small But a MASSIVE difference in the reported training budget. And look at the mechanism behind them. 235 miners entered the latest round. Across 131 rounds, the lead changed 13 times. Challengers must clear statistical acceptance criteria to replace the leader. Bittensor turns model improvement into an ongoing competition: contribute something better, demonstrate it, earn the reward. Independent contributors competing to expand what an open model can do. Forecasting supports decisions about electricity demand, inventory and infrastructure. Improving it has consequences WAY BEYOND a leaderboard, folks. The result is early: a small model, wins on TIME rather than every benchmark, and total cost advantage is coming. But, Still, this is impressive. An open competition is closing the gap with an established AI lab, and publishing it. When will the markets start waking to whats happening on Bittensor everyday. @cascade_sn91 @tensorlink_dev Source: dashboard.cascadesub.net