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To establish a clear and effective reward logic for the Twitter data miner within our Bittensor subnet, ensuring that the miner's responses are accurately scored against the correct criteria.
The reward logic must be robust enough to handle various edge cases and data inconsistencies.
It is crucial to ensure that the reward logic does not incentivize gaming or exploitation by the miners.
The reward system should be transparent and understandable to attract and retain high-performing miners.
By addressing these tasks and questions, we aim to create a fair and motivating environment for miners, driving the overall quality and efficiency of the Twitter data retrieval process within our Bittensor subnet.
Out of scope
Out of scope
Integrate Response Time into Reward Calculation
Factor in the response time of the miner when calculating rewards to encourage efficiency.
Decide on a method for penalizing slow responses without compromising data quality.
Implement Exponential Moving Average (EMA) for Rewards
Apply EMA to smooth out reward fluctuations and obtain a more reliable estimate of the miner's performance over time.
The text was updated successfully, but these errors were encountered:
Can we extend this to cover generically other services, and have specific reward implementation when required ? or do we intend to cover only twitter for now?
Objective:
To establish a clear and effective reward logic for the Twitter data miner within our Bittensor subnet, ensuring that the miner's responses are accurately scored against the correct criteria.
Tasks for V1:
Tasks for V2:
Outstanding Questions:
Acceptance Criteria:
Resources:
Notes:
By addressing these tasks and questions, we aim to create a fair and motivating environment for miners, driving the overall quality and efficiency of the Twitter data retrieval process within our Bittensor subnet.
Out of scope
Out of scope
Integrate Response Time into Reward Calculation
Implement Exponential Moving Average (EMA) for Rewards
The text was updated successfully, but these errors were encountered: