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Science subnets

Subnets applying the network to research problems — drug discovery, climate modelling, protein work — where the reward function encodes a scientific objective.

Science on Bittensor today

5 subnets are classified under science. 5 publish at least one first-party interface and 5 have a surface that answered our most recent probe. These have the longest feedback loops on the network and the most domain-specific outputs, so a generic health check tells you least. The source repository and the published methodology are usually the only way to tell what a result means.

Bittensor science subnets, ranked by integration readiness
SubnetReadinessSurfacesHealth
SN18 Zeus963/16
SN68 NOVA932/21
SN55 NIOME832/10
SN111 Claims792/12
SN107 Minos683/22

What "science" means here

Subnets applying the network to research problems — drug discovery, climate modelling, protein work — where the reward function encodes a scientific objective.

How the classification is derived

Categories come from what a subnet publishes about itself — its declared purpose, its source repository and the interfaces it exposes — not from a hand-maintained list. A subnet can belong to several, and 60 of 129 currently belong to none, which is a coverage gap in our data rather than a statement about those subnets.