Allora Network has successfully tested several tasks on its platform, demonstrating a smoother experience than anticipated. The network's system evaluates the performance of individual workers, predicting which will achieve higher accuracy, rather than aggregating all models indiscriminately. This approach allows the network to learn which models to trust and when. The testnet experiments revealed that using regret z-score as a prediction target improves forecast-implied inference, showcasing the network's self-correcting capabilities. Users are advised to check their eligibility for Allora Prime, with full allocation details expected by November 10. Participating in tests or contributing data can help accumulate reputation and points, benefiting future staking and resource allocation. As Allora Network prepares for its mainnet launch on November 11, along with the $ALLO token, ecosystem collaborations are emerging, such as integration with Plume Network. This initiative represents a foundational infrastructure for collective intelligence, combining human input, models, and economic incentives.