I just heard that getting a Twitter blue check with 20,000 followers only costs 1,600 RMB, haha. My Twitter account seriously records data on various chain games, market trends, project progress, final results, and a few comments, but only has 3,700 followers.
Now I think Kaito.ai's model is great, using a dynamic balanced algorithm to calculate the influence of KOLs, while bought followers are completely useless.
However, this algorithm is still in a black box state, very similar to Singapore's PR/EP application, where rejection is never explained, only the result is known, leaving people to guess blindly.
Is it possible for the Yaps points algorithm and the Singapore PR/EP approval algorithm to use a zero-knowledge method, allowing this algorithm to show fairness and justice without exposing details (to prevent loopholes), so that people can see it and be convinced?
