Let AI rate crypto world KOLs? Kaito Yap's algorithm discrimination: speaking English gets higher scores.

Recently, on X, Kaito Yap frequently appeared, becoming a hot topic of discussion among many KOLs, even leading to ‘撕逼’.

Kaito is an AI-based cryptocurrency data analysis platform that recently launched a product called ‘Yap to Earn’. Simply put, it allows users to earn points by posting high-quality content. Users can earn Yap points through posting and interacting, and many people expect that these points may be converted into project tokens in the future.

What’s more, Kaito has established an AI scoring and selection mechanism for encrypted KOL, which can display the dynamic rankings of well-known encrypted big V.

Click here to play with ‘Kaito Yap’.

Image source: DeepTech TechFlow

It is important to note that Kaito Yap has two unique mechanisms:

First of all, it remains mysterious, without disclosing specific scoring criteria and basis, and without clear scoring guidelines. This black box strategy has its advantages:

Maintained the mystery of the project, avoided complaints related to score calculation, and reduced invalid disputes;

At the same time, it promotes users to continue exploring and innovating, to a certain extent, avoiding the phenomenon of targeted brushing.

Secondly, everything is AI-driven. Kaito officials only provide AI with prompt words and let AI conduct scoring and filtering.

Perhaps it is ‘AI Help AI’ (just kidding), CT Yapper, the first place on the leaderboard, has been occupied by the encrypted investment research AI Agent Aixbt, demonstrating content creation abilities beyond 99% of human users.

The rating and scoring mechanism like this has brought joy to some and sorrow to others. Many KOLs who used to specialize in reviewing projects have started actively participating in the points system. However, controversy and questioning have also followed.

Principle and Algorithm Discrimination

The butt determines the brain. From the perspective of the project party, they are delighted to see such products. Essentially, Kaito’s product is a to B marketing service.

Nowadays, KOL marketing has become a necessary option for many cryptocurrency projects to conduct market promotion. However, the quality of KOLs varies greatly, and traditional fan numbers and interaction cannot truly reflect the value of KOLs.

Overlaying a large number of water army and robot accounts disrupts the information ecosystem, making it difficult for the project party to accurately evaluate the true influence of KOLs, resulting in uncertain marketing resource effectiveness.

Providing a set of quantitative KOL selection criteria for the project party is a breakthrough attempt in Web3 marketing.

Some people support the mechanism, believing that Kaito Yap’s emergence not only marks the birth of a scoring system but also signifies a new direction for Web3 social media—value orientation replacing traffic orientation, with professional creativity triumphing over fast food content. This helps to discover truly high-quality creators and also drives KOLs to improve their professional standards, which plays a positive role in improving the entire cryptocurrency information dissemination ecosystem.

At the same time, Kaito Yap also faces questioning from KOLs and retail investors.

Gate.io TechFlow can be summarized into the following categories:

Circle effect: form a closed ecology of “inner circle” monopoly Kaito Yap’s scoring is biased towards head KOLs, and the core circle is mutually supportive. It is difficult for newcomers to break into the high-scoring circle. Even if new creators produce high-quality content, they struggle to obtain scores comparable to those of big Vs. What is more important is the “circle interaction.” Therefore, Kaito Yap is more of a game for big Vs and has nothing to do with ordinary people.

Algorithmic Discrimination: Accused of Discriminating Non-English Content With KOL feedback, non-English content crypto bloggers often receive lower ratings compared to English content, and the value of localized content is underestimated. In addition, crypto KOLs with institutional backgrounds have greater influence than ordinary accounts.

Data limitations Currently, relying solely on public Twitter data, lacking community interaction data, and ignoring the value of private domain traffic, such as certain KOLs who are active in Telegram groups, perform poorly in Yap ratings.

Regarding the criticism of Kaito algorithm discriminating against Chinese content, the Kaito staff stated, “Kaito uses the same set of prompts to train its AI, and it considers your content as not solid if it is not solid. There may be mistakes, but it is fair to everyone.”

Despite some doubts, in the editor’s view, Kaito is exploring a differentiated development path in the Web3 social industry through its point mechanism and community operation strategy, which is a positive innovation and worthy of encouragement. However, as a growing platform, Kaito still faces some issues that need to be considered and resolved:

How to expand the user base while maintaining professionalism and giving more opportunities to newcomers;

The sustainability of the points mechanism;

Continuously cultivating community atmosphere and user stickiness.

In the future, with the continuous development of the Web3 social industry and AI, the evolution direction of emerging platforms like Kaito is worth continuous attention.

TechFlow’s summary of Kaito Yap’s point system strategy

(1) Principle: Anti-spam content The official statement clearly states the resistance to junk content and brushing behavior. Repetitive, valueless posts will receive zero points. In summary, quality is far more important than quantity.

(2) Pay attention to hot projects Pay close attention to the items on the Kaito panel:

Kaito；

Berachain;

Monad;

Xion;

Paradadex;

Eclipse;

Note: Simply mentioning these project names will not earn you points. The key is to provide valuable analysis and insights.

(3) Top priority on interaction quality In addition to focusing on content distribution, Kaito pays special attention to the interaction of content, especially the interaction of high-quality accounts, such as receiving replies from influential users, and genuine and effective likes.

(4) Precise Interactive Strategy Suggestion:

Follow and reply to the big V account;

Participate in high-quality topic discussions;

Engage in conversation under high interactive posts;

Interact with leaderboard users;

Balance the interaction frequency and content quality.

(5) Cryptocurrency-themed Persist in publishing content related to cryptocurrencies, make reasonable use of cryptocurrency keywords, and prioritize discussions on hot projects.

(6) Recommended program participation Get extra points by referring new users.

This article is authorized to be reproduced from: ‘TechFlow’

“Let AI rate the coin circle KOL? Kaito Yap algorithm discrimination: speaking English scores higher” This article was first published in “Crypto City”