With the successful minting of Lazbubu, the rules of play for future Web3 AI may be completely rewritten, starting from Lazbubu.
Written by: Deep Tide TechFlow
Popping Mart's Labubu is sweeping the globe, and Web3 AI has its own on-chain nurturing system, Lazbubu.
On August 20, 2025, the LazAI ecosystem's AI agent launch platform Lazpad officially announced the start of Lazbubu minting, sparking a wave of community Mint discussions. Previously, the Lazbubu whitelist event attracted over 90,000 participants.
Some are curious: Where does Lazbubu's appeal come from?
The excitement partly stems from Lazbubu being one of the first AI companion-type Data Anchoring Tokens (DAT), which can grow over time, enabling long-term interaction and value creation. Faced with the industry's first AI nurturing asset concept, everyone wants to own a Lazbubu.
On the other hand, many may still remember Metis announcing a "comprehensive transformation to AI" in January 2025. As an established L2, Metis has a solid foundation of technology, resources, and market accumulation. The LazAI that launched Lazbubu is a Web3 native AI infrastructure protocol incubated by Metis.
As the first truly user-facing AI product project under Metis's "comprehensive transformation to AI" strategy, LazAI directly addresses the long-standing issue of AI value exploitation, aiming to establish value measurement standards for a series of AI contributions, including data, models, and interactions, and to reshape the rules of AI value distribution. Currently, the LazAI testnet activities are ongoing, and the DAT assets represented by Lazbubu are a crucial part of LazAI's effort to reshape the AI value distribution system.
With the breakthrough in AI data exploitation, strong support from Metis, and the industry's first nurturing AI asset series narrative, the successful minting of Lazbubu may completely rewrite the rules of play for future Web3 AI.
Throughout the entire asset lifecycle: A new logic for AI value circulation
As Lazbubu ignites community enthusiasm, let’s start with DAT to dissect LazAI's unique approach to reshaping AI value distribution solutions.
DAT: "Nurturing" AI Tokenized Assets
The essence of Lazbubu is an asset, specifically DAT, a tokenized solution tailored for AI.
Why do we say this?
This brings us to the many challenges faced by AI asset tokenization and value distribution.
We know that contributions that help train smarter AI, whether data, models, or interactions, are valuable and should be rewarded.
However, many times, these contributions are not only difficult to capture and measure, but rewards rarely flow to the contributors. For example:
User A packages their health check data for use in medical AI training;
Ideally, every time AI accesses User A's health check data, User A would receive a reward, creating a dynamic "contribution ⇌ reward" cycle;
But the reality is that AI companies only purchase data from large medical platforms, meaning the data revenue flows to the medical platform rather than to data owner User A, and this transaction is one-time. Neither User A nor the platform can know how the data is used, where it is used, or how many times it has been used. This black-box model not only leads to a trust crisis (for example, users distrust AI results or worry about privacy breaches) but also fails to generate continuous revenue from the data.
As a semi-fungible token, DAT effectively captures this dynamic feature: it not only records the static ownership of AI contributions but also tracks the entire lifecycle of AI assets. When interactions occur, DAT will record and allocate the revenue.
For instance, in User A's case, when User A publishes their health check data as DAT, DAT not only clarifies that this data asset belongs to User A but also records who accessed User A's data, how it was used, and what revenue was generated.
Thus, the previously difficult-to-capture and measure AI contributions now have a feasible path to be transformed into standardized assets.
Verifiable Computing: Building a Trustworthy AI Foundation
After addressing the value measurement issue, we also need to face:
Is everything recorded by DAT true?
For example: Even if User A publishes their health check data as DAT, how can we ensure that the data in DAT is genuine? Is every access genuine? Did the medical AI use the data according to User A's requirements?
Clearly, DAT needs a verifiable computing solution.
To this end, LazAI has designed a verifiable computing framework that integrates community governance, TEE hardware security, and ZK/OP cryptographic proofs, providing multi-layer trust guarantees through a hybrid layered architecture:
iDAO: Task submitter
Verifiable service coordinator: Receives tasks, assigns them to TEE nodes, and collects packaged task execution results
TEE working node: When running tasks, TEE isolates and loads data and models, generating result hashes, signatures, and certification reports to prove that the code runs in a secure zone.
Verifier contract: Checks TEE signatures and any zero-knowledge proofs. If all information matches, it marks the task as verified on-chain (in OP mode, it enters a challenge period).
Execution records and settlement: Verification results are recorded on-chain.
By making everything "verifiable," LazAI ensures that every inference, training update, or agent action is cryptographically verified and anchored on-chain, and can be questioned in cases of abuse. This makes all records verifiable, traceable, and accountable, providing a trustworthy foundation for fair distribution of rewards.
iDAO: Governance and Value Coordination Engine
If the verifiable computing framework makes AI trustworthy, then iDAO transforms AI management from disorder to order.
As a governance solution, iDAO brings together users, DAT holders, and AI agents with shared goals and visions to form a community, creating a community of interest;
This community of interest is centered around "community-driven" principles, where the community collectively decides the operational rules of iDAO, clarifying what should be contributed, the quality of contributions, how they should be accessed, and how profits should be shared;
Most importantly, the community is also a key force for the continuous healthy development of iDAO: Community members can view the specific market performance of each iDAO, and if there are relevant optimization suggestions, they can propose governance proposals. Community members vote, and the voting results are verified through the verifiable computing framework, ultimately executed publicly to ensure that iDAO continues to develop in a direction that aligns with community interests.
By having iDAO act as the governance decision-making brain, DAT as the carrier of AI assets and value flow system, and verifiable computing ensuring authenticity, openness, and transparency, LazAI truly builds a new AI operational closed loop for data sharing, AI revenue returning to contributors, and verifiable AI.
Under the strategy of "parallel development of concepts and products," LazAI's two core products, Lazbubu and LazPad, launched before the official launch of the testnet, also clearly present how LazAI aims to eliminate AI value exploitation and reshape AI value distribution.
Lazbubu: Your First Growth AI Companion
Focusing on the "nurturing" concept, how should the AI asset Lazbubu, which possesses memory, personality, and the ability to evolve continuously, be played with?
Let’s gain a more intuitive understanding of the characteristics of DAT assets through the specific gameplay of Lazbubu.
On one hand, holders shape Lazbubu:
Whether participating in the whitelist event to obtain blind boxes or acquiring exchange codes through social media/community, users can mint Lazbubu in the LazPad exploration area. Lazbubu is divided into four different levels: Common, Advanced, Rare, and Legendary.
Shaping begins with minting: Users can customize Lazbubu's name, appearance, and other attributes. Next, users can promote Lazbubu's growth through various interactive tasks: Different levels of Lazbubu have different daily free message interaction quotas, and meaningful communication and interaction with Lazbubu can promote its growth; additionally, users can send Lazbubu on adventures, which include various interactive exploration tasks and are also an effective way to promote Lazbubu's rapid growth.
At the same time, Lazbubu will create long-term value for holders:
On one hand, wallets that successfully mint Lazbubu will share a reward pool of $50,000 in $CALITH Tokens. $CALITH is the first IDO and TGE project on Lazpad, and it has seen remarkable growth after its launch.
On the other hand, Lazbubu will bring back rewards after adventures, including travel stories, postcards, or point rewards. The rarer the attributes, the higher the chance of obtaining valuable rewards.
Moreover, as a growth-type AI Agent, Lazbubu will receive a one-time point reward upon maturity, and after maturing, it will unlock transfer functions, allowing users to train excellent Lazbubu and trade them for profit.
As an early participation credential in the LazAI ecosystem, minting, holding, and training Lazbubu unlocks various future rights within the LazAI ecosystem. In addition to point rewards, it also includes unlocking DAT blind boxes, deep memory reserves, mainnet yield boosts, early product experiences, and more potential benefits.
Of course, as an asset, Lazbubu's minting, growth, and circulation require user participation, and LazAI's other core product, LazPad, plays the role of this "interactive entry point."
LazPad: The Core Hub for AI Interaction Under Long-term Valueism
A Launchpad that has not produced a hit cannot be called a good Launchpad, and Lazpad's first IDO project, Corrupted Alith, achieved tremendous success:
After a successful TGE on June 10, 2025, the Corrupted Alith token $CALITH surged to a historical high of 0.6036 on August 10, accumulating a 6750% increase from the TGE opening price of $0.0088, making it the highest-gaining AI concept token in the Metis ecosystem for the year. According to Netswap data, the current price of $CALITH is $0.3525, still over 4000% higher than at TGE.
In conjunction with Lazbubu, Corrupted Alith also set up a $50,000 $CALITH Token reward pool to reward users who minted Lazbubu, with the reward airdrop distributed from September 11 to 14.
The success of $CALITH is inseparable from LazPad.
At a time when major AI agent launch platforms still struggle to shed the "speculative" label, the unique growth system of DAT requires users to genuinely participate to promote DAT growth, establishing a close and profound connection between assets and users, thus providing a solid foundation for LazPad to transcend hype and practice long-term valueism.
Behind the hit, as an AI agent launch platform, LazPad possesses three core functions:
Construction Center: Create AI assets
Interaction Center: Participate in interactions, contribute value, and promote DAT growth
Revenue Center: Continuously earn rewards from DAT through value contributions
With a low-threshold mechanism for one-click issuance of AI Agents, searching for the password to AI wealth feels like sifting through sand, and at this time, LazPad's three area designs serve as a comprehensive participation guide for users from novices to experts.
The Exploration Zone is where Lazbubu resides, serving as the AI trial area for users new to the LazAI ecosystem:
The Exploration Zone gathers DAT that have yet to embark on their asset journey; it is an unrefined world waiting for users to develop. Users can freely explore, interact, complete tasks, and shape each DAT through real decisions to earn points. Meanwhile, creators can observe the entire process, collect feedback, and optimize products.
The Open Release Zone is LazPad's core creation platform, also seen as a public stage for LazAI ecosystem AI innovation:
All users and developers can deploy AI agents here, and data contributors can publicly share data assets. To reduce volatility and incentivize actual development, the Open Release Zone introduces a price unlocking mechanism; if the asset does not reach its target price, no additional tokens will be issued, aiming to further enhance participant confidence and protect user rights.
The Advanced Release Zone is more like a boutique AI section curated by LazAI and the community:
This area is open to professional developers, enterprises, and high-quality contributors, supporting complex AI application development, customized verification, and high-value data trading. Projects entering the Advanced Release Zone are considered premium and must demonstrate technical clarity, autonomy, or strong community consensus. At the same time, projects in the Advanced Release Zone also integrate LazAI's task and point system, further binding them to the ecosystem and deepening user engagement.
The crypto world often prioritizes narratives and concepts, and the impressive achievements of Lazbubu and Lazpad on the product side often make people forget that LazAI is merely a project that has just launched its testnet.
As testnet activities unfold, they further drive the community's enthusiasm for early participation in LazAI and accumulating tokens.
Narrative + Product + Resource Stacking, Accelerating the Arrival of a New Cycle for Web3 AI
On August 19, LazAI announced the official launch of the testnet, supporting decentralized storage, OpenAI-compatible interfaces, native DAT tokenization, verifiable computing, and iDAO governance, allowing users to participate in testing and earn rewards.
In less than a month since its launch, the LazAI testnet has also replicated the success of Lazbubu and LazPad. According to official news, the testnet has accumulated over 545,436 interactions and shows a continuous growth trend.
The enthusiasm for community participation reflected in the data is backed by multi-dimensional recognition of LazAI's narrative logic and product performance:
On one hand, LazAI targets the long-standing pain point of "AI value exploitation," aiming to establish a closed loop through the trinity of "AI governance structure iDAO + Data Anchoring Token DAT + Verifiable Computing," reconstructing the incentive fractures and trust gaps in the old AI system to create a fair, transparent, and sustainable self-reinforcing AI development framework.
On the other hand, the Mint craze sparked by the product side Lazbubu and the ecological hits incubated by LazPad further prove LazAI's ability to translate narratives into reality.
More importantly, the Metis behind LazAI will significantly inject momentum for LazAI's sustainable growth in the future.
When we mention Metis, many labels come to mind: the L2 that V God’s mother’s friend participated in, the first L2 to launch a fully decentralized sorter, a former Ethereum L2 Top 5, an L2 with hundreds of ecological applications… Regardless of the label, it highlights Metis's deep accumulation in the crypto industry.
This accumulation, after announcing a comprehensive transformation to AI, has translated into stronger technical implementation capabilities, ecological construction capabilities, and resource delivery capabilities, which will undoubtedly nourish LazAI as a key incubation project.
As an important part of the AI strategy, LazAI will receive full support from Metis, including funding support, partner introductions, and ecological expansion.
Under the overall AI strategic layout, LazAI will also generate stronger synergistic effects with other AI products in the Metis ecosystem, further building a more robust AI ecosystem.
At the same time, the core components of the Metis ecosystem AI include the development toolkit Metis SDK, high-performance AI native execution layer Hyperion, and the MetisVM, a virtual machine deeply customized for AI applications, which will also provide LazAI with powerful technical capabilities to turn ideas into reality.
Conclusion
From LazPad to Lazbubu and then to the testnet, we see LazAI's systematic reconstruction around "how AI value is measured, verified, and redistributed":
In the old paradigm, data and model contributions were unidirectionally siphoned off by platforms, and the lack of transparency and incentive fractures led to a scarcity of high-quality supply;
In the new paradigm, iDAO allows rules and parameters to be negotiable and iterative, DAT allows data/models/interactions to be solidified into growthable revenue carriers, verifiable computing provides a "traceable and provable" trust foundation for all claims, and LazPad transforms systems into participatory, cultivable, and co-creative growth interfaces.
As the LazAI value flywheel spins at full speed, LazAI is also on the main road to transforming the concept of "reshaping AI value distribution" from utopia into reality.
As "participating in the speculation of an AI asset" gradually shifts to "participating in a value redistribution pipeline," the questions users need to consider may change from "Should I participate?" to "On which curve of contribution will you leave your first verifiable footprint?"
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