Bittensor (TAO) Changes the Subnet Reward Distribution from a Fixed Ratio to a Staking Weight Determination

Through dTAO, Bittensor changes the subnet reward distribution from a fixed ratio to a staking weight determination, with 50% injected into the liquidity pool, aiming to promote the development of high-quality subnets by Kevin, the Researcher at BlockBooster. Updated: 2023-08-21 18:13:52.000000000 PDT. By Kevin.

Kevin, the Researcher at BlockBooster, has shared an insightful analysis of Bittensor's dTAO, highlighting the critical role it plays in shaping the future of Web3 AI.

Here are some key takeaways from Kevin's research:

* In essence, dTAO alters the subnet reward distribution from a fixed ratio to a staking weight determination, with 50% of the dTAO being injected into the liquidity pool to form a k value. This dynamic pricing will decide the distribution of the daily TAO issuance.

* The goal is to promote the development of subnetworks with real revenue potential, and such applications will be properly evaluated.

* In the early stage, high volatility, APY trap, and adverse selection coexist. It's crucial to balance the three major contradictions of miner quality screening, user cognitive threshold, and market heat mismatch.

* Currently, only one of the top 10 subnets requires miners to submit open source models, while the remaining subnets have defects such as anonymous teams and a lack of product anchoring, exposing the bottleneck of Web3 AI infrastructure.

* The final verification depends on the establishment of positive feedback between the TAO price and subnet practical value. Failure may trigger the Web3 AI track to continue transforming towards lighter-weight directions.

As dTAO marks a significant turning point for Bittensor, it remains to be seen how the dTAO price will be affected by the changes in the subnet staking amount and the subsequent impact on the TAO price.

Read the full analysis on BlockBooster for a deeper understanding of the implications of dTAO on the Bittensor ecosystem and its role in fostering innovation in the Web3 AI domain.