Kaito AI Rankings to Be Upgraded with Introduction of New Ranking Structure Today

Foresight News reports that Kaito AI has announced an upgrade to its Kaito Rankings. This upgrade focuses on improving the quality and signals of the rankings, reducing spam, curbing gamification and AI-driven noise, while better identifying genuine creators and community members who have truly increased their influence and social capital over time.

The upgrades being introduced today include a new leaderboard structure (UI). For creators: there will be stricter reputation thresholds, built using a variety of data points and dimensions. For the broader community: the rankings will highlight voices that are in the early stages of development but are still making meaningful contributions to the growth of project content. Anti-spam and anti-sybil filters: replies will no longer count towards leaderboard rankings, in order to stop circles of flagged repliers. The reputation filter will exclude newly created accounts, users who buy followers, or those who participate through paid engagement.

Future updates will also include the introduction of the gKAITO mechanism, reclassification of the smart follower mechanism to identify AI-generated content, categorizing projects and creators into different verticals for exploration, and integrating on-chain activity, asset holdings, and investments.