Written by: TechFlow
Pop Mart's Labubu is popular worldwide, and Web3 AI has its own on-chain nurturing system—Lazbubu.
On August 20, 2025, LazAI ecosystem's AI agent launch platform Lazpad officially announced the start of Lazbubu minting, sparking a heated discussion about minting in the community. Previously, the Lazbubu whitelist event attracted over 90,000 users to participate.
Some are curious: Where does Lazbubu's appeal come from?
The hype partly comes from Lazbubu being one of the first AI companion-type Data Anchored 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 still remember Metis, which announced a "full transition to AI" in January 2025. As a veteran L2, Metis has deep technical, resource, and market accumulation. LazAI, which launched Lazbubu, is a Web3 native AI infrastructure protocol incubated by Metis itself.
As the first truly user-facing AI product under Metis's "full transition to AI" strategy, LazAI targets 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, LazAI's testnet activities are ongoing, and DAT assets represented by Lazbubu are an important part of LazAI's effort to reshape the AI value distribution system.
As a disruptor of AI data exploitation, with strong support from Metis, and the industry's first nurturing AI asset series narrative, the great success of Lazbubu minting may mark the beginning of a complete rewrite of Web3 AI gameplay rules.
Throughout the Asset Life Cycle: A New Logic for AI Value Circulation
With Lazbubu igniting community enthusiasm, let's start with DAT to break down LazAI's unique approach as a solution for reshaping AI value distribution.
DAT: "Nurturing" AI Tokenized Assets
The essence of Lazbubu is an asset, that is, DAT—a tokenization solution tailored for AI.
Why is that?
This brings us to the many challenges faced by AI asset tokenization and value distribution.
We know that whether it's data, models, or interactions, any contribution that helps train smarter AI is valuable and should be rewarded.
But often, such contributions are not only hard to capture and measure, but the rewards rarely reach the actual contributors. For example:
Person A packages their medical checkup data, which can be used for medical AI training;
Ideally, every time AI accesses Person A's checkup data, Person A should receive a reward. This "contribution ⇌ reward" cycle is dynamic;
But in reality, AI companies only purchase data from large medical platforms. The data revenue goes to the platform, not the data owner, Person A. Moreover, this transaction is one-off. Neither Person A nor the platform knows how, where, or how many times the data is used. This black-box model not only causes trust crises (such as users distrusting AI results or worrying about privacy leaks), but also prevents continuous revenue from the data.
As a semi-fungible token, DAT captures this dynamic feature well: It not only records the static ownership of AI contributions but also tracks the full lifecycle of AI assets. When an interaction occurs, DAT records and distributes the revenue.
For example, in Person A's case, Person A issues their checkup data as a DAT. The DAT not only clarifies that this data asset belongs to Person A, but also records who accessed Person A's data, how it was used, and what revenue was generated.
In this way, AI contributions that were once hard to capture and measure now have a feasible path to become standardized assets.
Verifiable Computation: Building a Trustworthy AI Foundation
After solving the value measurement problem, we still need to face:
Is everything recorded by DAT real?
For example: Even if Person A issues their checkup data as a DAT, how can we ensure the data in the DAT is real? Is every access real? Did the medical AI use the data as Person A required?
Obviously, DAT needs a verifiable computation solution.
To this end, LazAI has designed a verifiable computation framework that integrates community governance, TEE hardware security, ZK/OP cryptographic proofs, and more, providing multi-layer trust guarantees through a hybrid layered architecture:
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iDAO: Task submitter
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Verifiable Service Coordinator: Receives tasks, assigns them to TEE nodes, and collects and packages task execution results
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TEE Worker Node: When running tasks, TEE isolates and loads data and models, generates result hashes, signatures, and attestation reports to prove the code runs in a secure enclave.
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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).
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Execution Record and Settlement: After 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 challenged in case of abuse. This makes all records verifiable, traceable, and accountable, providing a trustworthy foundation for fair reward distribution.
iDAO: Governance and Value Coordination Engine
If the verifiable computation framework makes AI trustworthy, then iDAO makes AI management orderly instead of chaotic.
As a governance solution, iDAO brings together users with the same goals and visions, DAT holders, and AI agents to form a community and an interest group;
This interest group is driven by the principle of "community-driven," with the community jointly deciding iDAO's operating rules, clarifying what should be contributed, the quality, how it should be accessed, and how revenue should be shared;
Most importantly, the community is also the key force for iDAO's healthy and sustainable development: Community members can view the specific market performance of each iDAO. If they have suggestions for optimization, they can submit governance proposals. Members vote, and the results are verified by the verifiable computation framework and then executed publicly, ensuring iDAO continues to develop in a direction that aligns with community interests.
With iDAO as the governance decision-making brain, DAT as the AI asset carrier and value flow system, and verifiable computation ensuring authenticity, openness, and transparency, LazAI truly builds a new AI operating loop of data sharing, AI revenue returning to contributors, and verifiable AI.
Under the strategy of "parallel philosophy and product," LazAI's two core products, Lazbubu and LazPad, launched before the official testnet, also make the specific implementation path of how LazAI eliminates AI value exploitation and reshapes AI value distribution clearer to users.
Lazbubu: Your First Growth-Type AI Companion
Focusing on the "nurturing" concept, how exactly do you play with the AI asset Lazbubu, which has memory, personality, and continuous evolution capabilities?
Let's get a more intuitive understanding of DAT asset characteristics through Lazbubu's specific gameplay.
On one hand, holders shape Lazbubu:
Whether participating in whitelist events to get blind boxes or obtaining redemption codes via social media/community, users can mint Lazbubu in the LazPad exploration area. Lazbubu is divided into four levels: Normal, 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. Meaningful communication and interaction with Lazbubu can promote its growth; users can also send Lazbubu on adventures, which include various interactive exploration tasks and are an effective way to accelerate Lazbubu's growth.
At the same time, Lazbubu will create long-term value for holders:
On one hand, wallets that successfully minted Lazbubu this time will share a $50,000 $CALITH Token reward pool. $CALITH is the first IDO and TGE project on Lazpad, and its price soared after launch.
On the other hand, after returning from adventures, Lazbubu will bring back rewards, including travel stories, postcards, or points. The rarer the attributes, the higher the chance of getting valuable rewards.
Additionally, as a growth-type AI Agent, a mature Lazbubu will receive a one-time points reward and unlock the transfer function after maturity. Training excellent Lazbubu and trading them can also generate income.
As an early participation credential in the LazAI ecosystem, minting, holding, and training Lazbubu is equivalent to unlocking various future rights in the LazAI ecosystem, including not only points rewards but also unlocking DAT blind boxes, deep memory reserves and mainnet revenue bonuses, early product experiences, and more potential benefits.
Of course, as an asset, Lazbubu's minting, growth, and circulation all require user participation. LazAI's other core product, LazPad, plays the role of this "interaction gateway."
LazPad: The Core Hub of AI Interaction Under Long-Term Value Doctrine
A Launchpad that hasn't produced a hit can't be called a good Launchpad, and Lazpad's first IDO project, Corrupted Alith, achieved great success:
After a successful TGE on June 10, 2025, Corrupted Alith's token $CALITH soared to a historical high of 0.6036 on August 10, up 6750% from the TGE opening price of $0.0088, making it the highest-gaining AI concept token in the Metis ecosystem this year. According to Netswap data, $CALITH is currently priced at $0.3525, still up over 4000% from TGE.
In conjunction with Lazbubu, Corrupted Alith also set up a $50,000 $CALITH Token reward pool to reward users who minted Lazbubu, with airdrop rewards distributed from September 11 to 14.
The success of $CALITH is inseparable from LazPad.
At a time when major AI agent launch platforms still can't shake off the "speculation" label, the unique growth system of DAT requires users to genuinely participate and promote DAT growth, establishing a close and profound connection between assets and users, thus giving LazPad a solid foundation to transcend hype and practice long-term value doctrine.
Behind the hit, as an AI agent launch platform, LazPad has three core functions:
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Build Center: Create AI assets
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Interaction Center: Participate in interactions, contribute value, and promote DAT growth
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Revenue Center: Continuously earn rewards from DAT by contributing value
With the low-threshold mechanism for one-click issuance of AI Agents, finding the AI wealth code is like panning for gold. At this time, LazPad's three-zone design seems to provide users with a full-stage participation guide from novice to expert.
The Exploration Zone is where Lazbubu is located and serves as the AI trial area for users new to the LazAI ecosystem:
The Exploration Zone gathers DATs that have not yet started their asset journey. This is an unpolished world waiting for users to develop. Users can freely explore, interact, complete tasks, and shape each DAT through actual decisions to earn points. Meanwhile, creators can observe the entire process, collect feedback, and optimize products.
The Open Release Zone is the core creative platform of LazPad and is regarded as the public stage for AI innovation in the LazAI ecosystem:
All users and developers can deploy AI agents here, and data contributors can also publicly share data assets. To reduce volatility and incentivize actual development, the Open Release Zone introduces a price unlocking mechanism. If an asset does not reach its target price, no additional tokens will be issued, further boosting participant confidence and protecting 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 transactions. Projects entering the Advanced Release Zone are considered premium and are required to demonstrate technical clarity, autonomy, or strong community consensus. At the same time, Advanced Release Zone projects are integrated with LazAI's task and points system, further binding them to the ecosystem and deepening user engagement.
The crypto world is always driven by narrative and concept first. The impressive product-side achievements of Lazbubu and Lazpad often make people forget that LazAI is just a newly launched testnet project.
As the testnet activities unfold, they further drive the community's enthusiasm for early participation in LazAI and accumulating chips.
Narrative + Product + Resource Stacking, Web3 AI's New Cycle Accelerates
On August 19, LazAI announced the official launch of its testnet, supporting decentralized storage, OpenAI-compatible interfaces, native DAT tokenization, verifiable computation, and iDAO governance. Users can participate in testing to earn rewards.
Within less than a month of launch, the LazAI testnet has also replicated the success of Lazbubu and LazPad. According to official sources, the testnet has accumulated over 545,436 interactions and continues to grow.
The community enthusiasm reflected in the data is backed by multidimensional recognition of LazAI's narrative logic and product performance:
On one hand, LaiAI targets the long-term pain point of "AI value exploitation," aiming to establish a closed loop through the trinity of "AI governance structure iDAO + data-anchored token DAT + verifiable computation," reconstructing the incentive break and trust gap issues in the old AI system and building a fair, transparent, and sustainably self-reinforcing AI development framework.
On the other hand, the product-side minting craze triggered by Lazbubu and the ecosystem hit incubated by LazPad further prove LazAI's ability to bring narrative to reality.
More importantly, with Metis standing behind LazAI, it will inject tremendous momentum into LazAI's sustainable growth in the future.
When we mention Metis, many labels come to mind: L2 with participation from Vitalik's mother's close friend, the first L2 to launch a fully decentralized sequencer, once a Top 5 Ethereum L2, and an L2 with hundreds of ecosystem applications... Each label highlights Metis's deep accumulation in the crypto industry.
This accumulation, after announcing a full transition to AI, has transformed into stronger technical implementation, ecosystem building, and resource delivery capabilities, which will inevitably nourish LazAI as a key incubated project.
As an important part of the AI strategy, LazAI will receive full support from Metis, including funding, partner introductions, ecosystem expansion, and more.
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 powerful AI ecosystem.
Meanwhile, Metis ecosystem AI core components, including the AI application development toolkit Metis SDK, high-performance AI native execution layer Hyperion, and the deeply customized virtual machine for AI applications MetisVM, will also provide LazAI with strong technical capabilities to turn ideas into reality.
Conclusion
From LazPad to Lazbubu and then to the testnet, we have seen LazAI's systematic reconstruction around "how AI value is measured, verified, and redistributed":
In the old paradigm, data and model contributions were unilaterally absorbed by platforms, and the lack of transparency and incentives led to a scarcity of high-quality supply;
In the new paradigm, iDAO allows rules and parameters to be negotiated and iterated, DAT enables data/models/interactions to be deposited as growth-capable revenue carriers, verifiable computation provides a "traceable and provable" trust foundation for all claims, and LazPad turns the system into a participatory, cultivable, and co-creative growth interface.
With LazAI's value flywheel spinning at full speed, LazAI is also on the main road to turning the idea of "reshaping AI value distribution" from utopia into reality.
As "participating in the hype of an AI asset" gradually shifts to "participating in a value redistribution pipeline," users will have more to consider—not just "whether to participate," but "at which point on the contribution curve you will leave your first verifiable footprint."
