Tag
Proposes DD-Elo, a chess rating system that integrates move-level data via a drift-diffusion model to accelerate skill assessment and rating adaptation, while maintaining alignment with traditional Elo.
The author presents LQS v3.1, an open methodology for rating AI training data using multi-oracle consensus and signed certificates, with a published paper and public index. The approach aims to solve the bottleneck of independent quality evaluation in the AI training data market.