ConnitoAI subnet 102
ConnitoAI presents netuid 102 as a collaborative training subnet for large language models using a Mixture-of-Experts architecture. Rather than treating a model as one monolithic training job, the project describes expert groups distributed across independent contributors and coordinated by validators. For users, ConnitoAI is best framed as a model-training and expert-network subnet.
About ConnitoAI subnet 102
ConnitoAI is a Bittensor subnet for decentralized Mixture-of-Experts language-model training.
Large model training is compute-intensive and centralized, leaving room for distributed approaches that reward smaller specialized contributors.
LLM researchers, model trainers, Bittensor miners, validators, and users comparing AI training subnets.
Team and ownership
ConnitoAI publishes project docs and a whitepaper, but reliable public founder, executive, and core-team names are not available.
Key pages:
learn about Bittensor,
Bittensor glossary,
Bittensor FAQ,
Bittensor subnet screener,
portfolio tracker,
subnet baskets,
Neuralteq validator,
and fees.