AI-driven content platform: Opportunities and challenges coexist

In the cryptocurrency space, user attention is gradually becoming a quantifiable asset. Against this backdrop, some emerging information financialization projects have emerged, among which Kaito stands out as the most notable. This project, favored by top investment institutions, was once regarded as a pioneer in the field of information financialization.

However, as time goes by, an increasing number of doubts are beginning to emerge. People have differing opinions on its algorithmic mechanisms and their impact on the ecosystem. Kaito originally hoped to attract users' attention through AI algorithms, but it currently seems that the community has started to lose patience.

The challenges faced by the creative ecosystem

Since the introduction of the "Yap-to-Earn" mechanism, Kaito has been mired in controversy. The social platforms are flooded with similarly styled so-called "industry deep analysis" posts, which on the surface are full of professional terminology and structured analysis, but in reality, the content is hollow, interactions are superficial, and the efficiency is low and repetitive, seemingly existing only to garner profits.

A community member compared Kaito's dissemination mechanism to "elevator advertising in the cryptocurrency version." He pointed out that this mechanism is essentially like repeatedly playing content in a closed space, with different segments being pushed at different times. For the audience, this is indeed a quick way to memorize and gain exposure, but the ensuing problem is: when the platform is occupied by homogeneous content, and opinion leaders are driven by algorithms to continuously produce, what ultimately forms may be an information echo chamber—like being trapped in a closed elevator that plays advertisements non-stop, making it difficult to access truly valuable new content.

At the same time, some have questioned whether Kaito's mechanism indirectly exploits the traffic of medium-influence creators. Opinion leaders in the cryptocurrency field have pointed out that some medium-influence accounts, which originally had substantial value per content piece, are willing to accept returns far below market price in order to earn profits on Kaito. This practice not only depresses the actual value of content but also prevents some creators from fully expressing their abilities.

Kaito may be making the criteria for content creation too singular, binding creators to a system driven by "algorithms" and "scores." As a community user stated: "The criteria for opinion leaders should be diverse, but Kaito's emergence has made it somewhat homogenized."

minor setbacks in operation

In addition to the controversies regarding the mechanisms, the Kaito team has also encountered some minor setbacks in operations recently.

In mid-March this year, Kaito AI and its founder's social media accounts were hacked. Team members stated that the attackers chose to launch the attack in the middle of the night in the founder's time zone, taking control of the accounts while he was asleep.

More than a month later, the founder publicly stated that the platform inadvertently applied a new algorithm retroactively to data from the past year, resulting in users seeing data over a longer time period, while the frontend data appeared incomplete.

Although these two incidents did not cause serious consequences in themselves, the series of minor issues has raised concerns about the platform's stability.

Algorithm design sparks controversy

Kaito's core advantage lies in its AI-driven content scoring algorithm, which claims to be able to identify valuable Web3 content. However, as users delve deeper into its use, this algorithm has frequently sparked controversy.

Some users have climbed to the global top ten and the number one spot in specific language regions on the Kaito Yapper leaderboard within a short period, based solely on three marginalized pieces of content. This raises the question: can such algorithms really filter out valuable information?

Many users have pointed out that Kaito places less importance on reading volume, with the algorithm focusing more on the interaction performance between high-influence accounts. Worse still, some internal circles have begun to form a "clique" phenomenon, further amplifying this algorithmic bias.

Leading figures in the cryptocurrency space have stated that Kaito's algorithm is essentially designed to seize the institutional and top opinion leader market, severely damaging the ecosystem for ordinary creators. He cited an example where a high-quality long article he wrote received almost the same rating as a brief promotional post paid for by a certain project, while content unrelated to Kaito was systematically suppressed by the algorithm. He believes that "opinion leaders at the top of the rankings receive substantial rewards, while others have almost no way to grow," and that "Kaito is blocking the path for newcomers to rise."

When newcomers are trapped by the invisible ceiling of algorithms, and creators are forced to cater to algorithmic preferences, we can't help but ask: Is an AI-driven content platform reshaping the information order, or merely replicating old power dynamics? This question is worth our contemplation.