Crunch, a collective intelligence platform for mannequin tuning, introduced plans to open decentralized AI mining on the Bittensor community to educational and enterprise machine studying scientists.
On this strategy, Crunch coordinators handle the Bittensor subnet mining infrastructure, together with blockchain operations and technical coordination. This permits contributors to deal with constructing and enhancing machine studying fashions with out having to cope with staking, mining slots, or different Web3 mechanisms. This mannequin lowers the barrier for non-crypto native members whereas conserving Bittensor’s decentralized construction intact.
Reasonably than concentrating on present blockchain miners, Crunch goals to welcome new contributors from universities, analysis institutes, and enterprise AI groups. These members can contribute fashions and compute to the Bittensor subnet, a specialised AI service that competes to resolve outlined duties. Mining on Bittensor entails contributing fashions and assets to those subnets in alternate for community rewards.
Crunch applies a metamodeling layer that aggregates submissions from many impartial ML engineers into an ensemble mannequin. This collective intelligence strategy is designed to supply a extra steady and various output to Bittensor subnets. The coordinator acts as a metalayer, successfully appearing as a superminer that mixes a number of contributors right into a single intelligence stream.
Picture: Freepik

