Decentralized Attention Experiment: How Does Loud Reimagine Web3 Value Distribution with "Mindshare"?

Original Article Title: Loud: Attention Is All You Need

Original Article Author: @0x_ultra

Original Article Translation: Zen, PANews

TL;DR

Loud is an experiment on the relationship between attention and value. The $LOUD token itself has no intrinsic value, and each transaction incurs a fee. These fees are used weekly as a marketing budget, rewarding the top 25 users who can most increase Loud's mindshare. Using @KaitoAI's mindshare data for distribution, this is currently one of the most efficient incentive mechanisms. This is not a revolutionary paper on attention mechanisms in neural networks; it is an experiment in the purest attention market. This experiment will run indefinitely and is not subject to human intervention.

Inspiration

We often talk about the attention economy in Web3, and the platform built by Kaito AI is fundamentally a system that allows everyone to participate in attention transactions, accelerating the development of the entire industry. In the process, it has also created one of the most optimal proof-of-work incentive mechanisms in history: a reward mechanism based on "mindshare." This Web3 primitive allows project teams to achieve the highest possible output for every dollar invested: create a reward pool for people willing to contribute labor. This is the first piece of the puzzle.

The second part of the inspiration comes from the successful practice of Web3 launch platform Believe: by volume and fees, establish a long-term stakeholder and creator incentive model, thereby benefiting creators' ongoing creation. In fact, the project's attention depends entirely on the output and maintenance of creators, so creators are the key driving force behind maintaining attention. What if we could merge the advantages of these two models and create a new incentive mechanism that aligns the motivations of all participants towards the goal of maximizing "mindshare"? What would happen?

What Is Loud?

Loud is an experiment that distills the purest form of cryptographic primitives, removing the intermediary product form. It is time to bring back the "3,3 Game Theory."

The (3,3) Game Theory is a concept proposed by Olympus DAO, originating from cooperative thinking in game theory, expressing a "win-win" situation can be achieved when participants cooperate with each other. Its essence is an optimized version of the prisoner's dilemma, combined with Web3's tokenomic model, conveying to the community in an understandable way the idea of "we win together."

In a game theory matrix, 「3」 represents a positive outcome for both the protocol and the participants; 「-3」 represents a negative outcome. Therefore:

· (3,3): You stake, I stake, both support the protocol, the protocol grows, we both benefit the most → Win-Win

· (-3,-3): You sell, I sell, the protocol collapses, we both lose → Lose-Lose

· (3,-1): You stake, I sell, you take the risk, I profit → One-Sided Game

Experimental Setup

We combine the best of Attention-Proof-of-Work model with a mechanism that allows creators to receive ongoing fee sharing. What would happen if we provide continuous rewards to those who propagate a certain topic? We will get the purest form of 「3,3」: a direct link between a speculator and a Key Opinion Leader (KOL)—eliminating the need for intermediaries altogether. A sustained attention engine driven by speculator subsidy and KOL.

The fees paid by traders will flow directly into a bonus pool, which will be distributed among the top-ranking 「topic creators」 on the attention leaderboard, incentivizing them to create greater dissemination and trading volume. You should already see the outline of this flywheel mechanism.

· Objective of Topic Creators: Spark higher trading volume

· Objective of Traders: Buy attention through fee subsidy

This is an experiment on whether 「attention is sufficient to confer value」. If something receives enough attention, will its price rise accordingly? Conversely?

Actual Operation Mechanism

· The $LOUD token will be traded on the Solana chain through the Meteora liquidity platform's liquidity pool, where each swap will incur a fee, priced in SOL

· Users can gain 「mindshare」 by publishing content about Loud

· The mindshare ranking mechanism provided by Kaito AI will objectively quantify the contributions

· Users can visit stayloud.io to view the leaderboard and register their wallets to claim rewards

· Once a week, transaction fees (in SOL) will be distributed proportionally based on mindshare contribution to the top 25 users on the leaderboard

· 20% of the fees will be rewarded to $KAITO stakers to drive the ecosystem flywheel and achieve interest alignment

· The Flywheel Mechanism will operate permanently and autonomously without intervention

· Loud is a pure symbiotic model where speculators subsidize KOLs.

About the Top 25 Ranking Mechanism

Why set a top 25 limit? Because as mentioned earlier, every fee paid by traders is essentially in exchange for "purchasing attention." Setting a smaller reward pool can motivate participants to work harder to compete for volume for token holders and traders. Even if you enter the top 25, you cannot rest on your laurels—the reward distribution will be entirely based on the proportion of mindshare contribution, and participants must continuously maximize their own spread efficiency and influence.

Note: Loud is an experimental project, and the mechanism will be continuously optimized and adjusted based on community feedback but always adhere to the minimal intervention principle. It aims to conduct the first large-scale experiment of a "decentralized attention-value system."

What Will Happen Next?

The $LOUD token will soon be launched, and the specific release time and distribution method will be announced in subsequent announcements. The experiment is about to begin with technical support from Holoworld AI. This is a community-owned experimental project: no team reserves tokens, no hidden interests, a completely fair launch, and 100% transparency. The future development will depend entirely on the community.

Original Article Link

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