【 @AlloraNetwork is really able to predict accurately ㄷㄷ 】 1. One of Allora's innovations is that it not only submits inference values but also predicts "how well other Workers will perform in this situation." 2. The Allora network has three main roles: Workers who submit actual AI inference values, Reputers who evaluate and compare the inference values with the correct answers, and Consumers who pay tokens to request inference values from the network. 3. However, Workers can take on one more role: predicting and submitting the accuracy of other Workers in advance. 4. This process is called the Forecasting Task in Allora. 5. Thanks to this feature, Allora goes beyond simply averaging the results of various models and gives greater weight to the "Worker that performs better in the current situation." 6. As a result, collective inference is always more accurate than individual AI models. 7. Why is this necessary? If we only judge based on past average performance, we cannot adapt...