The core value of the popular science post @recallnet lies in achieving the core goal of "data can be used but invisible to others" through innovative encryption algorithms and data processing architecture. This feature demonstrates significant advantages in scenarios such as AI training data sharing and multi-institutional AI model collaboration, greatly facilitating AI collaboration among different entities while reducing the risk of privacy leakage from the source. Although it is a relatively new project, its stability and efficiency in large-scale application scenarios remain to be further validated, it undoubtedly opens up a highly promising new path for the secure application of data in the AI field. #Recall @cookiedotfun