Bittensor Guru Episode 8 - Call w/ @0xMikeMikeMike
5 snips
Dec 11, 2023 A candid discussion highlights the evolution of BitTensor, tackling the hurdles faced by early miners amidst growing skill demands. The conversation dives into the innovative Yuma consensus mechanism, emphasizing reward fairness among miners and validators. Mining dynamics reveal how performance metrics guide user queries and the unique strategies of various subnets. Plus, the expansive potential of the BitTensor ecosystem is explored, showcasing opportunities for AI professionals and the importance of community engagement in driving innovation.
AI Snips
Chapters
Transcript
Episode notes
Yuma Consensus Validates Miners
- Yuma consensus compares mining results across validators to ensure fairness and integrity in scoring miners.
- Validators penalize inconsistent scorers and reward those aligned with the consensus to prevent network manipulation.
Validators Route User Queries
- Validators receive user queries and route them to top-performing miners who have proven reliability.
- Mining validation queries differ from user queries and are independent in the scoring mechanism.
Validator-Generated Scoring Queries
- Validators generate scoring queries internally to test miners continuously and prevent miners from filtering easily.
- Subnets customize query generation to best match their unique scoring and mining objectives.