Vitalik wrote a proposal teaching you how to secretly use AI large models.

Everyone is talking about AI, and the voices about crypto on the timeline have become much quieter. At the same time, ETH has been hovering around 2000 for almost two months, and it seems that not many people care about what Vitalik says or does. However, I recently looked through his X and found that it’s not just us who are affected by AI. In the past month, a large part of what he has posted is related to AI, and it is specific to the level of technical solutions.

The most noteworthy of these is a proposal jointly published by him and the Ethereum Foundation’s AI lead, Davide Crapis, on ethresear.ch on February 11, called “ZK API Usage Credits.” In a nutshell, it means: using zero-knowledge proofs to allow you to anonymously call AI large models.

Whether you use ChatGPT now or call Claude’s API, there is only one way to pay: register an account, bind an email, and bind a credit card. Every conversation and every prompt you make is known to the platform. What you ask, when you ask, and how many times you ask are all tied to your real identity.

Vitalik and Crapis’ proposal offers another way: 1. The user deposits money into a smart contract, such as 100 USDC. 2. The contract registers this deposit in an on-chain encrypted list. After each API call, you do not need to show your identity, you only need to generate a zero-knowledge proof. 3. It can prove two things to the service provider: you are on the list and your balance is sufficient. But the proof itself does not reveal which one you are on the list. The service provider can receive money and prevent abuse, but never knows who you are.

You can understand this proposal as one thing, that Vitalik believes that in the AI era, users should not have to give up their identity in order to use an AI tool. This proposal is still in the research stage and is still far from being implemented. Large model manufacturers may not agree to such a method; at the same time, the comment section of the proposal is also full of rebuttals and questions, believing that AI model factories will always find a way to know your real identity. However, I think that the significance of this proposal does not lie entirely in whether it can be implemented.

Privacy is something Vitalik has been doing for ten years. From early support for Tornado Cash to promoting zero-knowledge proofs as the core technical route of Ethereum, this line has never been broken. It’s just that in the past few years, privacy in the context of the crypto industry has been lacking a big enough story to carry it. AI has filled this story. When you talk to large models more than you talk to anyone else every day, privacy is a real need.

From February to now, a considerable part of what Vitalik has posted on X is related to AI, with a density so high that it doesn’t seem like just casual talk. Yesterday, he posted a long post saying that he recently went to a cryptography conference, where people cared about privacy, open source, and anti-censorship… but had no feelings for blockchain. Among those people, he did a thought experiment: forget “we are the Ethereum community”, and think from scratch, where is Ethereum most useful? His conclusion is that the most fundamental value of Ethereum is as a bulletin board. A place where anyone can write, anyone can read, no one can change, and no one can delete.

In the context of AI, this may be the most important sentence Vitalik has said in the past two years. We are entering an era of generating infinitely cheap things. AI can create text, images, videos, and identities in batches. When everything can be faked, what will become scarce? These questions will eventually point to the same place: a public, persistent, and irreversible data layer. And a record that no one can tamper with is exactly what Ethereum can do.

In the past two years, the question Ethereum has faced can be summed up in one sentence: What do you have that others can’t replace? Now, Vitalik has not answered this question directly. However, the Ethereum Foundation has done a few inconspicuous things in the past year: formed a 50-person privacy team, established a privacy research cluster of nearly 50 people, released the Kohaku privacy framework, and specifically set up an AI head; in the 2026 roadmap, institutional-level privacy and faster transaction confirmation are listed as the top priorities.

Looking back at his intensive output this month, it is basically discussing the privacy and efficiency issues of Ethereum in the context of AI. I think Vitalik is betting on one thing: the more powerful AI is, the more rigid the demand for privacy and verification infrastructure will be. Whether Ethereum can take this demand is another matter, but he has obviously chosen the poker table. ETH is still hovering around 2000. Most people still don’t pay much attention to what he has been saying recently. But maybe looking back in a few years, what should be paid attention to is this period of time.

[深潮TechFlow]

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RichSilo Exclusive Analysis:

Vitalik’s AI Privacy Gambit: Ethereum’s Strategic Position in the Age of Infinite Content

In a market dominated by AI hype and crypto apathy, Vitalik Buterin’s recent focus on zero-knowledge proofs for AI privacy represents a sophisticated strategic pivot that most market participants are overlooking. While ETH languishes near $2,000 and Twitter timelines overflow with AI chatter, the Ethereum Foundation’s technical direction suggests a fundamental repositioning of Ethereum’s value proposition in an AI-dominated world.

The Technical Blueprint: ZK API Credits as Privacy Infrastructure

The “ZK API Usage Credits” proposal, co-authored with Ethereum Foundation AI lead Davide Crapis, is more than just technical curiosity—it’s a strategic bet on the collision of two megatrends. By enabling anonymous AI model usage through zero-knowledge proofs, Vitalik is attempting to solve a critical friction point in the AI ecosystem: the trade-off between utility and privacy. Current AI interaction models require identity linkage, creating a treasure trove of user data that centralized platforms monetize.

This isn’t merely about privacy for privacy’s sake. In the context of Ethereum’s roadmap, with institutional-level privacy prioritized for 2026, the Foundation is building infrastructure that addresses the emerging security requirements of an AI-integrated world. The proposal’s implementation would create a new primitive: verifiable, anonymous API consumption that simultaneously protects user privacy and compensates providers.

Market Implications: Mispricing Ethereum’s Strategic Position

The market appears to be severely mispricing Ethereum’s strategic positioning. While ETH has stagnated for months, the Foundation has quietly assembled a 50-person privacy team, developed the Kohaku privacy framework, and established an AI head role—all while Vitalik dedicates a significant portion of his recent commentary to AI applications of blockchain technology.

The fundamental thesis here is that as AI generates infinite cheap content (text, images, video, synthetic identities), the scarcest resource becomes verifiable truth. In an era of deepfakes and AI-generated misinformation, an immutable, public data layer that “anyone can write, anyone can read, no one can change, and no one can delete” becomes not just valuable but essential.

Investment Opportunities Beyond ETH

This strategic direction creates several investment vectors:

  1. Privacy Infrastructure Tokens: Projects developing ZK-proofs and privacy tech stand to benefit from Ethereum’s focus. The ZK ecosystem, which includes players like zkSync, StarkWare, and Aztec, could see accelerated adoption as Ethereum doubles down on privacy primitives.

  2. Data Verification Protocols: As AI-generated content proliferates, protocols that can verify provenance and authenticity (e.g., Verifiable Organizations Network, OriginTrail) gain strategic importance.

  3. AI-Blockchain Hybrid Solutions: Projects bridging AI and blockchain with privacy-preserving architectures, such as Bittensor or SingularityNET, may find tailwinds as the narrative around AI privacy matures.

Risks and Implementation Challenges

The proposal faces significant hurdles:

  1. Centralized AI Resistance: Major AI providers may resist anonymous usage models as they undermine their data monetization strategies. They could implement countermeasures to fingerprint users regardless of ZK proofs.

  2. Technical Complexity: Building ZK-proofs for sophisticated AI interactions remains computationally expensive, potentially limiting scalability.

  3. Market Timing: The proposal is still in research phase, and market attention remains focused on pure AI plays rather than AI-blockchain hybrids.

The Strategic Narrative: Ethereum as the AI Verification Layer

Vitalik’s most profound insight is recognizing that Ethereum’s value proposition in the AI era isn’t about being “smarter” than AI but about being “more real.” While AI generates infinite synthetic content, Ethereum provides the immutable anchor of reality. This reframes the entire debate about Ethereum’s utility—it’s not about competing with AI but about providing the verification layer that makes AI-generated content trustworthy.

The Ethereum Foundation’s recent moves suggest they understand this dynamic. By positioning Ethereum as the “bulletin board” of the AI era, they’re not just solving a technical problem but defining Ethereum’s existential purpose in a post-AI world.

For investors, the key takeaway is that while short-term price action may reflect market sentiment, the strategic direction being charted by Ethereum could position it as a critical infrastructure layer for the coming AI revolution. The current apathy toward ETH may represent a significant buying opportunity for those who recognize the long-term implications of Vitalik’s AI privacy gambit.

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