BlockBeats news, August 8,
Kaito announced the launch of a major upgrade to its leaderboard system, aimed at improving ranking quality and credibility, reducing spam information, ranking manipulation, and AI-generated content, while better identifying genuine creators and community members with long-term accumulated influence.
This update includes a brand new leaderboard structure interface, where the 'Creator Leaderboard' introduces a higher reputation threshold and dynamically adjusts based on project synchronization data. The 'Community Leaderboard' showcases users who are still in the growth stage but positively contribute to project content growth. Additionally, the new rules eliminate the contribution of reply-type content to rankings and enhance the filtering mechanism against spam accounts and cheating behaviors such as buying followers and interactions.
The official statement indicates that future features will include the gKAITO incentive mechanism, AI content recognition, on-chain behavior integration, and account label reconstruction, aiming to achieve a more trustworthy and sustainable leaderboard system, and support customized leaderboard rules for different projects as needed. Kaito emphasizes that this update is the starting point for a long-term improvement path, and the system will continue to be iteratively optimized.