Competitive networks for machine learning optimization, built on the Bittensor protocol
Democratising access.
Driving performance.
Opening the future of intelligence.
Convening compute through incentives
Built on the Bittensor protocol, Macrocosmos aligns distributed networks through carefully calibrated incentive mechanisms: improving performance by increasing relevance through rewards.
Cooperation that clicks
Cabal-resistant mechanisms built by game theory experts, overcoming free-riders and encouraging collaboration: more equity for contributors, better responses for users.
Deep AI. Broad application.
Whether it's pre-training, model throughput, or stressing inference performance, we perpetually push the boundaries at the edge of AI until the impossible becomes inevitable.
AI experts.
Research-Led.
Bittensor native.
