The evolution of 'mouth stroking' driven by technological transformation is not only an upgrade of tools and platforms but also a deep exploration and value reconstruction of 'attention', the core scarce resource of the digital economy. (Background: How long can the 'mouth stroking' economy last? Where is the next stop for crypto marketing?) (Supplementary Background: The evolution of the token economy model, the revival of token buybacks after airdrop failures) This evolution driven by technological transformation is not just an upgrade of tools and platforms but also a deep exploration and value reconstruction of 'attention', the core scarce resource of the digital economy. 'Mouth stroking' in the NFT era: Discord whitelist Background: The value and scarcity of the whitelist In the NFT world, a 'whitelist' is a privilege certificate granted to specific users before the official public sale of a project. It represents a qualification that allows holders to mint one or more NFTs at a more favorable price (usually far below the public sale price) or guaranteed spots within a specified time. The value of this list comes from its absolute scarcity and potential high returns. For early supporters, the whitelist is a direct reward for their loyalty and contributions to the project. For investors, it is a 'first-class ticket' to acquire high-potential assets at a low cost, providing significant arbitrage opportunities as the price difference for a whitelist qualification could soar from hundreds to thousands of dollars in a fervent market. For the project team, the whitelist is an effective means of precisely filtering core users, accumulating initial enthusiasm, and conducting stress tests before launch. Operating model: 'Liver white' - labor-intensive community contribution The process of obtaining whitelists is vividly referred to in the community as 'liver white', with the word 'liver' encapsulating the intensive investment of time and energy. The main battlefield of this 'liver emperor' game is Discord. The reason it is Discord stems from its unique platform characteristics: it is not an open public square but a series of independent, closed servers. This structure is naturally suited for building high-stickiness, high-consensus 'private domain' communities, where project teams can set their own rules and create a unique cultural atmosphere. The core methodology of 'liver white', colloquially known as the 'three axes of mouth stroking': Brush presence (Chat-to-Earn): This is the most basic and time-consuming aspect. Users need to maintain high-frequency, high-quality discussions in the project's Discord channel. This is not simple spamming but requires active participation in discussions, answering newcomers' questions, and expressing a deep understanding of the project. Complete tasks (Task-to-Earn): The project team will issue a series of clear tasks as quantitative indicators of contribution, such as inviting new members, promoting on social media, and participating in community activities. Showcase talent (Create-to-Earn): For users with special skills, this is a shortcut to stand out. By creating content such as memes, writing analyses, or drawing fan art, they demonstrate their value. Ultimately, becoming a community-recognized OG (Original Gangster), that is, the 'senior' fan of the project, is the highest honor and the most reliable way to obtain a whitelist. Essential analysis: The refined operation of private domain traffic The essence of the 'Discord mouth stroking' model is a refined operating system based on private domain traffic. It may appear chaotic and disorderly, but it contains profound core principles of Web3: It is a loyalty filter: Through high time costs and task requirements, the project team filters out not speculators but core followers who truly identify with the project culture and are willing to contribute. It is a decentralized marketing approach: The project team transforms thousands of community members into 'organic traffic' through incentive mechanisms, forming a viral marketing network. It is a system based on 'human governance': The final reward distribution relies heavily on the subjective judgment of the project team and administrators, filled with 'human touch', but it also leaves room for unfairness and rent-seeking. 'Mouth stroking' in the AI era: Infofi analysis Infofi (Information Finance) utilizes AI to liberate 'mouth stroking' behavior from the private domain to the public domain, financializing and scaling it to form a new normalization of 'content mining'. Conceptual rise: Infofi (Information Finance) and attention economy With the penetration of AI technology, the 'mouth stroking' ecosystem of Web3 has undergone fundamental changes. A new track called Infofi (Information Finance) has quietly emerged. The core idea of Infofi is to transform intangible cognition, viewpoints, and attention into quantifiable, assessable, and tradable financial assets through AI and blockchain technology. Behind this normalization is a profound insight into the 'attention economy'. Infofi firmly believes in one principle: attention precedes price. The value of a project or concept is first reflected in how much market attention it can capture. Operating model: 'Content mining' - AI-driven value discovery Infofi has shifted the main battlefield of 'mouth stroking' from closed Discord servers to open public social platforms, especially X (formerly Twitter). Its core methodology has also upgraded to 'content mining': Platform (The Arena): Using platforms like Kaito AI as the core, users connect social accounts to authorize the platform to read content. Action (The Action): Release high-quality, insightful content (Yap) and interact with high-influence accounts. Evaluation (The Oracle): AI algorithms replace human judgment, quantifying scores from multiple dimensions such as content quality, social influence, and interaction data. Incentive (The Reward): Points are directly linked to rewards like token airdrops, achieving 'content is mining'. Ecosystem and financialization: From 'mouth stroking' to 'cognitive assets' Infofi is not a single model; it has built a vast ecosystem around 'information financialization'. In this ecosystem, users' social behaviors are completely financialized, accumulated into a predictable, quantifiable cognitive asset. Comparative analysis: Discord mouth stroking vs. Infofi mouth stroking Through multi-dimensional comparisons, the fundamental differences between the two models in underlying logic, value capture, and ecological forms are revealed, clearly outlining the evolution from 'private domain' to 'public domain'. Future era of mouth stroking: Bridging the value gap, AI vs. AI, humans vs. AI content game, attention is money With the rapid development of artificial intelligence technology, we are standing at a critical point of transformation in content production and consumption models. The competition for attention will enter an unprecedented complex stage. The biggest problem with the 'mouth stroking' model is that it has drawn an insurmountable gap between attention and real value. Massive traffic data cannot equate to project success directly, as it hides three core 'conversion failures'. 1. Attention -> Purchasing power Users come for 'stroking' rather than real demand. Once they obtain tokens, due to a lack of real-use scenarios and long-term holding motivation, the vast majority choose to sell off immediately, failing to form effective purchasing power support. 2. Interaction -> Community contribution The interaction content generated by 'mouth stroking' still lacks depth. This interaction cannot solidify into deep community discussions, valuable...

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