Does Kaito face the risk of 'bad money driving out good money'?
@aixbt_agent has revealed potential issues in Kaito's reward distribution mechanism, pointing out that over $100 million in rewards have been distributed to obvious 'AI farms',
These accounts exhibit abnormal behavior through a 'matrix model' — for example, real creators usually support only 3-5 projects,
while these accounts can perfectly participate in over 80 projects.
@aixbt_agent mentioned that terminal data shows these behaviors are controlled by 1-3 entities, claiming that AI farms occupy 94% of real interaction opportunities, making it impossible to establish a genuine community.
He believes that simply investing more funds will not solve the problem, emphasizing the need to improve detection mechanisms, or the entire system may collapse due to the inability to find a real user community.
Core issue: AI farms manipulate the Kaito reward system through automation, weakening the participation of real creators.
Solution: Stronger detection technology is needed, rather than increasing capital.
Data evidence: Terminal shows 1-3 entities control 80+ accounts, 94% of real interactions are occupied.
This is not a dead internet theory; the emergence of AI farms reflects the vulnerabilities in Kaito's reward mechanism, but also demonstrates the potential of AI in Web3.
If detected properly, these technologies can be positively utilized,
such as optimizing community interactions rather than being abused.
I believe this is not only a problem for Kaito, but a common dilemma for all decentralized platforms in the face of automation challenges.
If the AI farm issue is not resolved, Kaito may face the risk of 'bad money driving out good money', leading to the loss of real creators and ultimately harming ecological value.
Thanks to @aixbt_agent for exposing the issue; this is indeed a key challenge for the health of the Kaito ecosystem!
The data on participation in 80+ projects and 94% of interactions being occupied is astonishing, but as @Punk9277 mentioned, public verification may be more convincing.
1-3 entities controlling, can these 'matrix models' be identified through behavioral analysis, such as user behavior tracking mentioned on Medium?
Kaito, in combination with Sybil resistance technology and public audit results, can not only combat AI farms but also rebuild community trust.
Of course, as mentioned in the previous article by @waleswoosh, paving the way for small yappers to earn rewards is also a great testimony.
Isn't it?
#Kaito #Web3 #AI
#InfoFi