Kaito AI has overhauled its crypto mindshare algorithm to address manipulated engagement and low-quality content, prioritizing long-term quality contributions to restore trust in its leaderboards. The update specifically targets spammy tactics like excessive replies and reward-focused posts, shifting emphasis toward meaningful insights and sustained participation.
Industry experts including Louround from Redacted Research have criticized existing leaderboard dynamics for failing to correlate with genuine protocol interest or value creation. This sentiment aligns with broader industry moves toward accountability, exemplified by Arkham’s introduction of a Key Opinion Leader (KOL) label to track influencer authenticity.
Key changes in Kaito AI’s update include exclusion of reward-centric posts, weekly limits on mindshare tweet counts, and enhanced loyalty rewards for consistent contributors. While designed to foster healthier ecosystem dynamics by valuing substantive knowledge sharing over superficial hype, some users remain skeptical about the algorithm’s ability to effectively filter manipulation.