SN 3 τemplar: Incentivized Wide-Internet Training. $TAO No gatekeepers. No permission needed. Just open, incentivized, collaborative AI.

This is decentralized AI training happening in real-time, miners competing, collaborating, and optimizing their models, all driven by pure economic incentives.

Fine-tuning models on Bittensor’s SN3 subnet lets anyone contribute to machine learning training. The key metric to all this is? Loss reduction and its working phenomenal well. Miners are rewarded based on how much they improve the model, not just raw compute power.

It’s like Bitcoin mining, but instead of solving just some hashes, they’re improving real AI models. And because rewards are based on improving model accuracy, miners naturally work together, optimizing network efficiency.

Competition pushes progress forward.

The craziest part? Engineers didn’t have to force this cooperation. They simply structured the incentives, and the system figured it out on its own. Incentive design > technical constraints.

This is the future, AI shaped by open markets, not corporations.