《Popular Interpretation of LazAI: The 'Data Revolution' Offered by V God, Your Data Can Turn into Money》

Just after Mother's Day, it seems the Metis project team intends to present this as a gift to V God’s mother. Recently, everyone has been discussing what LazAI actually is, so let me explain it in the simplest terms.

1. Why Do LazAI?

Discussions about AI and projects have noticeably increased recently, and various project teams are racking their brains to find ways to integrate with Web3.

New projects have emerged from the perspectives of data, models, and public blockchain infrastructure. From the perspective of data, it is actually the most obvious pain point and also the most difficult, because from the user’s perception, most of the time when you use AI, you may not even notice that a part of the data you’re using is becoming part of the optimization of a large model, but you don’t receive any share of the value.

As models get stronger, there’s your contribution, but no profit share for you. The better AI gets, the more you are exploited by the AI model and the giant companies behind it, but all of this happens invisibly.

What LazAI wants to solve is this issue, making you aware of it and using technical means to strive for value for you.

In the era of AI, everyone should be a small data center, not just a cold sample; your data, you have the say. This is what LazAI aims to achieve.

In fact, to sum it up in one sentence: LazAI attempts to fundamentally break down who truly owns AI? What gives you the right to participate, and what can you gain? This has never been done in the past because traditional AI systems lack the supporting mechanism. Web3 is precisely that mechanism.

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2. The Core Logic of LazAI's Design: Three Underlying Designs Forming a Closed Loop

1) DAT: Data Anchoring Token

Transform the data you upload into “on-chain assets”, anchoring a unique source, defining usage rights, and allowing ownership to be divided.

Every time your uploaded data/information is accessed, there is a record and profit sharing.

Not an NFT, but a “semi-homogeneous token” with usage records, profit rights, and access control.

To summarize: The data, models, and behaviors you contribute can be monetized, and you can also control authorization.

2) iDAO: Individualized DAO, Aligning Data

Everyone is their own data sovereignty center.

You can decide who uses your data, how it’s used, and how much to pay you after usage.

You are a participant in AI; if the quality of your data contribution is high, you can earn rewards.

The so-called iDAO means, in simple terms, in the AI era, your personal AI sovereignty account, where the data is your asset.

3) Verifiable Computing + TEE: Making Models No Longer a Black Box

Training and inference processes are executed off-chain to avoid high costs;

Results must leave a trace on-chain, verifiable, and challengeable;

The entire process relies on zk, TEE, and OP to achieve the core verification path.

In simple terms: It’s like telling AI to do something; you can check whether it acted correctly and executed your requirements. If it outputs incorrectly, it will trigger a penalty mechanism.

The closed-loop logic lies in the entire design process of contribution—pricing—profit sharing—verification, making rights confirmation and monetization smoother, creating a DeFi-like AI asset system.

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3. Metis x LazAI: What Do They Want to Do? And What Can They Do?

In the DeFi world, we use metrics like TVL, APR, etc., to measure whether a protocol is alive. In AI, the metric may not be how many financial assets you have, but rather whose assets they are, whether they can be priced, traded, incentivized, and how trustworthy they are.

Thus, from this logic, LazAI actually defines the asset logic of the entire AI world using DeFi-like thinking.

Your data TVL (locked AI data assets)

Your interaction behavior APR (output generated by AI inference)

The active AI DAU interacting with humans.

In simple terms: behavior-value-incentive triple path design.

Additionally, LazAI's first proxy framework, Alith, has already gone live. Thus, the entire framework of Metis is relatively complete.

Metis: As the token layer, incentive and profit sharing channel; LazAI: records behavior, verifies data, runs governance; Alith: helps you quickly generate AI proxies.

Simply put, it allows AI in Web3 to be usable, verifiable, and share profits. Ultimately, it’s not just a breakthrough at a single point, but a seizure of pricing power at the entire infrastructure level.

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4. Conclusion

Analyzing this, the logic of LazAI becomes clear. Ultimately, it aims to break the inherent distribution model of the Web2 era where “users provide content, and platforms reap the benefits,” evolving into “users own content and also own the profits.”

The project has proposed many new concepts, technologies, and frameworks, all serving the goal. Thus, LazAI is not just another AI project, not a tool, nor an auxiliary service of some large model; it is building a brand new foundational protocol on the eve of the AI explosion.

Let your data no longer be silent and exploited, let your contributions be clear, and let the value of AI return to every participant.

Additionally, LazAI seems to be planning to issue its own tokens, just for reference!

Note: This article only provides narrative and basic explanations of the project. Whether to participate in airdrop activities needs to be assessed in combination with on-chain and off-chain data, TGE timing, token economics, odds, and other factors. Please conduct your own research, DYOR!