Crunch, a collective intelligence platform for model tuning, announced plans to open decentralized AI mining on the Bittensor network to academic and enterprise machine learning scientists.
In this approach, Crunch coordinators manage the Bittensor subnet mining infrastructure, including blockchain operations and technical coordination. This allows contributors to focus on building and improving machine learning models without having to deal with staking, mining slots, or other Web3 mechanisms. This model lowers the barrier for non-crypto native participants while keeping Bittensor’s decentralized structure intact.
Rather than targeting existing blockchain miners, Crunch aims to welcome new contributors from universities, research institutes, and enterprise AI teams. These participants can contribute models and compute to the Bittensor subnet, a specialized AI service that competes to solve defined tasks. Mining on Bittensor involves contributing models and resources to these subnets in exchange for network rewards.
Crunch applies a metamodeling layer that aggregates submissions from many independent ML engineers into an ensemble model. This collective intelligence approach is designed to provide a more stable and diverse output to Bittensor subnets. The coordinator acts as a metalayer, effectively acting as a superminer that combines multiple contributors into a single intelligence stream.
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