We once believed that an AI-driven future would be a "golden age" of knowledge acquisition, anticipating AI as our super assistant, filtering out noise, refining wisdom, and accelerating creation. However, reality is unfolding in a more ironic way: generative AI has not brought about a clearer world, but rather ushered in an information "dark forest." We are violently colliding from an era of "information scarcity" into an era of "trust scarcity."
This is no longer a philosophical question; it's an urgent economic issue, and even more so, a systemic security issue concerning the survival of Web3. Because when AI meets Crypto, a more terrifying specter has emerged: large-scale, intelligent, and industrialized "Syllabic attacks." This crisis is forcing us to accelerate the construction of a completely new value standard—InfoFi, a future specifically for pricing "trust."

I. "AI is dead": From efficiency tool to "dissolver" of trust
"AI is dead" does not mean the death of AI technology—on the contrary, it is bursting forth with unprecedented vitality.
The "death" we are referring to is the death of AI as an "objective information intermediary." It is the death of our last shred of trust in the "seeing is believing" digital world.
In the past, creating misinformation had a cost. You needed to hire online trolls, spend time writing, and have the skills to Photoshop images. Today, however, an advanced AI model can generate a thousand "in-depth commentaries" with different stances and tones, or ten thousand "real" event photos, within a minute. AI has reduced the cost of "doing evil" to near zero, while pushing the cost of "detecting falsehoods" to an infinitely high level.
This is the "alienation" of AI: it has been transformed from a "productivity tool" into a "dissolver of trust".
This "dissolution" is indiscriminately polluting every digital corner. On Web2, we see AI bots arguing with each other on X, using empty "famous quotes" style replies to inflate interaction numbers; we see the first page of search engines dominated by AI-generated, soulless SEO garbage content.
The ocean of information is becoming more murky than ever before. We thought AI would be a lighthouse, but it has instead created an overwhelming fog. In this fog, we can no longer easily distinguish whether what we are interacting with on the other side of the screen is a flesh-and-blood "soul" or a "script" that executes code.
II. The "Perfect Storm" of Web3: When AI Pollution Meets "Syllabic Attacks"
If AI's pollution of Web2 is merely a disturbance at the level of "cognition" and "efficiency," then its impact on Web3—an ecosystem centered on "economic incentives"—is fatal and structural.
One of Web3's core value propositions is to guide and reward valuable behavior through "token incentives." Airdrops, as Web3's primary growth and distribution engine, are designed to reward "early, genuine, and contributing community users."
However, this model is facing a "perfect storm" driven by AI.
In the anonymous world of Web3, verifying "real users" is already a challenge. The rise of generative AI has escalated this challenge to "hell mode."
This is the intelligent upgrade of the "Symphony attack." Typically, a "Symphony attack" refers to a single malicious actor creating a large number of fake identities ("Symphony" accounts) to impersonate a large number of real users, thereby gaining disproportionate control or economic benefits in the network.

In the pre-AI era, Sybil attacks were crude. Project teams could filter out those "script wallets" with a single pattern by analyzing "on-chain behavior" (such as transaction count and active days).
But in the "post-AI era," the situation has fundamentally changed. A sophisticated malicious actor can use AI to command an "army of robots" consisting of tens of thousands of wallets. These AI robots are no longer simply "brushing transactions"; they can:
● Simulate a "persona": Post "insightful" comments on X and Discord and interact with real users.
● Simulate “contribution”: Post seemingly reasonable proposals on the governance forum and vote on each other’s proposals.
● Simulate "diversified behavior": Conduct complex and irregular DeFi interactions on the blockchain, perfectly bypassing all "anti-Cryptocracy" rules of the project team.
AI reduces the cost of creating fake identities to zero, yet it gives users the appearance of real users. The result is the "ineffective airdrops" and "vampire" economy we see today: project teams invest tens or even hundreds of millions of dollars in incentives, intending to distribute them to 10,000 real core users, but ultimately 90% are divided up by 10 "AI witch" groups.
This is not only a loss for the project team, but also a devastating blow to the entire ecosystem. It punishes real users and rewards malicious scripts, leading to a large-scale "bad money drives out good" situation. If Web3 cannot solve the fundamental problem of "who are the real contributors," then all its economic incentive models will become "cash cows" for AI bots.
III. The "Necessity" of InfoFi: Combating "AI Witches" with "Verifiable Reputation"
The proliferation of AI is fundamentally reshaping our value system. When the cost of "AI synthesis" approaches zero, what will see its value skyrocket?
The answer is: everything that AI cannot forge at low cost.
This is the “value reassessment” we must undertake: in a sea of information pollution, “verifiable, high-quality human attention” and “verifiable, long-term genuine reputation” will replace “capital” and “traffic” as the scarcest and most expensive assets in the digital age.

"Trust Lives Forever." Trust has become the ultimate "hard currency" in this "zero-cost" era.
Recognizing this trend reveals the only way forward for Web3. We must stop searching for a needle in a haystack; we must shift our focus and build an infrastructure capable of proactively identifying and verifying signals.
InfoFi's vision is to break down the "digital exploitation" of Web2 and price "attention"; it will break down the "capital walls" of DeFi and empower "reputation". Today, the rise of AI gives InfoFi a deeper and more urgent "historical necessity".
If InfoFi was previously seen as "icing on the cake," aimed at "greater fairness," then in today's world of rampant AI contamination and Sybil attacks, InfoFi is "a lifeline," essential for "survival."
A Web3 ecosystem that cannot withstand AI Sybil attacks is destined to collapse due to internal friction in its economic model. InfoFi is precisely the "Noah's Ark" born to withstand this storm.
InfoFi's core mission is to build the "reputation and trust" verification layer that the market desperately craves. It no longer naively relies on single on-chain data, but defends value through a more complex and intelligent approach—using AI against AI.
InfoFi's solution is systemic. It uses privacy technologies like DID and ZKP to securely aggregate and verify an individual's cross-platform, long-term "genuine contributions"—such as code commits on GitHub, original articles on Mirror, and in-depth proposals on governance forums. These are "reputation anchors" that AI cannot easily forge and that have accumulated over time. The InfoFi protocol then uses its AI model to analyze this "trusted data," transforming all of a user's "valuable, non-synthetic" contributions in the digital world into a standardized, credible "reputation score."
This "reputation score" is the only beacon we need to find "signals" in a sea of information pollution. It will be the cornerstone of the next generation of "precision airdrops," the cornerstone of the next generation of DAO governance (reputation-weighted), and the cornerstone of the next generation of DeFi.
