CoinDesk Podcast Network Bittensor's TAO Token Surges 100% on Demand for Decentralized AI | CoinDesk Daily
Mar 26, 2026
A fast-moving crypto token doubled as staking surged across decentralized AI subnets. The conversation covers a marketplace where developers submit models and top performers earn token rewards. Listeners hear about a recent distributed 4B-parameter training milestone and how staking signals drive a feedback loop of builders and demand.
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TAO Powers A Staking-Driven Decentralized AI Market
- BitTensor's TAO coordinates a decentralized ML marketplace by rewarding top-performing models and signaling value through staking.
- Staking on specialized subnets directs rewards, creates a feedback loop where more stake attracts builders and better models.
Subnet 3 Trained A 4B Parameter LAMA Model
- Guests described a distributed training run on BitTensor where Subnet 3 trained a 4 billion parameter LAMA model with many contributors' compute.
- The run was stateful and coordinated across random participants, highlighted as a notable technical accomplishment.
Staking Creates A Positive Feedback Loop For Model Quality
- Staking signals value for subnets: more stake attracts developers and improves model quality, producing a reinforcing cycle.
- This feedback loop—usage, stake, rewards, builders—helps explain TAO's recent price appreciation.