Currently, Loud! is receiving explosive interest in the crypto community and has established itself as a social phenomenon beyond a simple token project in a short period, ranking #1 on Kaito's Mindshare leaderboard.
Loud! has a structure where users post content on social media to accumulate mindshare scores, with trading fees distributed to top users. However, its token utility and long-term roadmap are inadequate. The author believes this structure was designed for Kaito's data collection and AI model testing purposes.
Through Loud!, Kaito will collect meaningless social data and social graphs, solve hallucination problems, and leap forward to become a more sophisticated AI platform.
Source: Kaito, 2025-05-30 10:30 AM KST
The crypto community is currently heated with excitement surrounding @stayloudio's $LOUD. On X, Loud!-related posts are constantly pouring out, and Loud! occupies an overwhelming first place on Kaito's Mindshare leaderboard. The fervor seems abnormal for what appears to be a simple token project.
Who are the true beneficiaries of Loud!? I believe the true beneficiary of Loud! is Kaito.
The structure of Loud! has already been introduced extensively on X, Telegram, and various other social media platforms, so I'll explain it briefly.
Source: Loud!
The core mechanism is simple. Users connect their wallets to the Loud! website and post Loud!-related content on X to accumulate mindshare scores determined by Kaito's AI model. When the $LOUD token launches, trading fees generated from $LOUD transactions will be distributed weekly in $SOL to the top 25 users on the mindshare leaderboard.
With just a brief look, you can see that Loud! has no structure other than posting Loud!-related content on X. Key aspects like token utility, token distribution plans, and long-term roadmaps are so lacking that they seem intentionally hidden. Nevertheless, Loud!-related content is being explosively generated on X, with likes and comment ratios per post reaching a phenomenal level of 10% of average views. This shows that $LOUD is a social phenomenon beyond just a simple token.
What's currently generating the most interest in Loud! is the token presale opportunity available only to a select few within the top 1000 mindshare rankings. Presale participation is possible at a low valuation of $155K, and the community currently predicts that presale participants will earn substantial profits of over $10,000. This is why everyone's X feeds, including mine, are currently completely filled with $LOUD and @stayloudio.
However, this article's focus is not on $LOUD's short-term profit potential, but on the long-term value that Kaito seeks to gain through this project. I believe simple rewards don't exist, and there's always intention behind every experiment.
Source: Paleo Ad Tech
Loud! reminds me of past cases where rewards were provided for "seemingly meaningless actions." In the late 1990s to early 2000s, during the internet advertising boom, advertising companies like AllAdvantage paid users just for displaying ad banners while web surfing. Users earned profits without substantial contribution, but platforms collected user data and maximized ad exposure. In the 2010s, Foursquare encouraged user participation by giving badges and points for simple actions like location check-ins. This was a strategy to collect location data and create network effects.
Loud! follows a similar pattern. Users generate Loud!-related content and accumulate mindshare, but the data generated in this process becomes a valuable asset for Kaito. I believe Loud! is not simply a token project, but designed as a large-scale data collection and testing platform for Kaito's AI models with a short-term vision. In the following section, I'll examine why this data is a valuable asset for Kaito and how it can help Kaito's models.
Source: Air Data News
Kaito has established itself as the most important incentive hub in the current crypto ecosystem. Kaito has completely disrupted the existing marketing landscape and token airdrop mechanisms, and the mindshare mechanism, starting with Kaito's own $KAITO token distribution, is now being used as one of the major airdrop indicators for most projects.
However, Kaito has always faced the chronic problem of hallucination. As we know, AI models, as they become more sophisticated, tend to focus excessively on unexpected features or assign incorrect weights, generating unintended results. Kaito's model has also been controversial for giving excessive scores to meaningless posts or specific keywords, and has continuously updated its algorithm to resolve this. However, this has led to continuous system exploitation by some users, resulting in an endless chain of attack and defense.
The reason Kaito's hallucination problem is difficult to solve is the absence of a test version. Not only blockchains but other software services often verify their systems through test versions before releasing main versions. Unlike testnets for services with running mainnets like Ethereum testnets, general software typically recruits testers separately before release, provides incentives for testing, and fixes errors before deployment. However, Kaito's model based on social data makes effective testing very difficult since separate social feeds cannot be created, and especially the real-time production of low-quality content interferes with the testing process. I believe Loud! emerged as a short-term experimental solution to solve this problem and as a means to crawl massive amounts of meaningless social data.
The benefits Kaito can gain from Loud! appear to be twofold:
Meaningless Data Collection: This is too obvious. By fundamentally having people promote a project with almost no details, Kaito can collect data to identify "forced promotion" methods. Until now, it might have been difficult to distinguish this due to technical level differences between projects, but this experiment should partially resolve this difficulty by collecting data on a single project called Loud!.
Social Graph Learning: One of the features Kaito emphasizes is the social graph. Due to the high reward potential of this Loud! program, X users who had little past activity are suddenly showing high activity levels, and through this, it should be possible to identify hidden communities and their relationships. Additionally, how meaningful the content produced by users connected through social graphs is extremely important data for Kaito, and depending on the significance of the content they generate, in severe cases, they could be treated as cabals and receive negative effects in the future.
Source: Bleach
So, will participating in Loud! now have a negative impact on participants?
I don't think Kaito will directly cause negative results for people who participated in this Loud! program (I'm almost certain). From Kaito's perspective, they've obtained very valuable data, and each participant's activity ultimately contributes to helping Kaito's system continue in the long run. Personally, I think it's a very advantageous and cleverly designed experiment for both @0x_ultra and Kaito, and I hope Kaito can come up with a much better mindshare algorithm than the current one through this.
However, users who had little X activity before participating too excessively in this program are likely to produce poor results. The X algorithm is likely to focus on specific words, ultimately increasing exposure to mass-produced feeds rather than meaningful crypto data, reducing the likelihood of being selected by Kaito's model in the future. I believe this is entirely the user's responsibility.
Currently, Loud!'s content is mostly filled with excessive hype-based repetitive messages, which is a valuable learning opportunity for Kaito. The overheated mindshare and social data are assets that Kaito needs to distinguish meaningful content and solve hallucination problems. While Loud!'s future is uncertain, Kaito is preparing to leap forward as a more sophisticated AI platform through this experiment. The crypto community is enthusiastic about Loud!'s hype, but the true winner is likely to be Kaito.
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