90,000 users rush to mint Lazbubu: Challenging AI value exploitation, the nurturing AI system LazAI arrives
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90,000 users rush to mint Lazbubu: Challenging AI value exploitation, the nurturing AI system LazAI arrives
With the huge success of Lazbubu's minting, the rules of future Web3 AI gameplay may be completely rewritten starting from Lazbubu.
Navigating Web3 tides with focused insightsBy TechFlow
POP MART's Labubu has taken the world by storm, and Web3 AI now has its own on-chain nurturing series: Lazbubu.
On August 20, 2025, Lazpad, the AI agent launch platform within the LazAI ecosystem, officially announced the start of Lazbubu minting, sparking widespread community discussion and excitement. Previously, the Lazbubu whitelist campaign attracted over 90,000 users.
Some may wonder: what makes Lazbubu so appealing?
Part of the appeal lies in the fact that as one of the first AI companion-style Data Anchored Tokens (DAT), Lazbubu grows over time, enabling long-term interaction and value creation. Faced with the industry’s first “nurturing” AI asset concept, everyone wants to own a Lazbubu.
Additionally, many will recall Metis’ January 2025 announcement of a “full strategic shift into AI.” As an established Layer 2, Metis brings deep technical expertise, resources, and market presence. LazAI—the Web3-native AI infrastructure protocol behind Lazbubu—is an initiative incubated directly by Metis.
As the first user-facing AI product under Metis’ “full strategic shift into AI,” LazAI directly addresses the persistent issue of AI value exploitation, aiming to establish a measurement standard for contributions across data, models, and interactions, thereby reshaping the rules of AI value distribution. Currently, LazAI’s testnet is live, and DAT assets like Lazbubu are a crucial component in rebuilding this new AI value distribution system.
With the combination of being a pioneer in solving AI data exploitation, strong backing from Metis, and leading the narrative around the industry’s first nurturing AI asset series, the success of Lazbubu minting could mark the beginning of a complete rewrite of Web3 AI’s rulebook.
Full Lifecycle Asset Integration: A New Logic for AI Value Flow
At the peak of community enthusiasm for Lazbubu, let’s begin with DATs to unpack what makes LazAI’s approach to redefining AI value distribution unique.
DAT: The "Nurturing-Style" Tokenized AI Asset
The essence of Lazbubu is an asset—a DAT, a tokenization solution custom-built for AI.
Why is this significant?
To understand this, we must first recognize the many challenges facing AI asset tokenization and value distribution.
We know that contributions such as data, models, or interactions—which help train smarter AI—are valuable and should be rewarded.
Yet in practice, these contributions are often difficult to capture and measure, and rewards rarely reach the actual contributors. For example:
User A packages their medical checkup data for use in training healthcare AI;
In an ideal scenario, every time an AI accesses User A’s data, they receive compensation—a dynamic “contribution ⇌ reward” cycle;
In reality, however, AI companies typically purchase data only from large medical platforms, meaning revenue flows to intermediaries rather than to User A, the original data owner. Moreover, these transactions are one-off; neither User A nor the platform can track how the data is used, where it’s applied, or how often. This black-box model not only erodes trust (e.g., users distrusting AI outputs or fearing privacy leaks) but also prevents continuous revenue generation from data.
As semi-fungible tokens, DATs effectively capture this dynamic nature: They not only record static ownership of AI contributions but also track the full lifecycle of AI assets, registering and distributing rewards whenever usage or interaction occurs.
For instance, in the case of User A above, if they issue their medical data as a DAT, the token not only establishes clear ownership but also logs who accessed the data, how it was used, and what revenue was generated.
Thus, previously intangible and hard-to-measure AI contributions now have a viable path toward becoming standardized, tradable assets.
Verifiable Computing: Building Trust in AI
Having addressed value measurement, another critical question remains:
How do we know the data recorded by DATs is real?
For example: even if User A issues their medical data as a DAT, how can we verify the data itself is authentic? Are usage records accurate? Did the healthcare AI follow User A’s data usage terms?
Clearly, DATs require a verifiable computing solution.
To address this, LazAI has designed a verifiable computing framework integrating community governance, TEE hardware security, and cryptographic proofs such as ZK/OP, delivered through a hybrid layered architecture that provides multi-layered trust guarantees:
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iDAO: Task submitter
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Verifiable Service Coordinator: Receives tasks, assigns them to TEE nodes, and collects execution results
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TEE Worker Nodes: During task execution, TEE isolates and loads data and models, generating result hashes, signatures, and attestation reports to prove code ran securely
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Verifier Contract: Checks TEE signatures and zero-knowledge proofs. If all data matches, the task is marked as on-chain verified (in OP mode, a challenge period follows)
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Execution Logging & Settlement: Verified results are permanently recorded on-chain
By making everything “verifiable,” LazAI ensures every inference, training update, or agent action is cryptographically anchored on-chain and open to challenge in cases of abuse. This enables full traceability, accountability, and a trustworthy foundation for fair reward distribution.
iDAO: Governance and Value Coordination Engine
If verifiable computing makes AI trustworthy, then iDAO makes AI governance orderly.
As a governance solution, iDAO brings together users, DAT holders, and AI agents with shared goals and visions, forming communities as aligned stakeholders;
These stakeholder communities operate on the principle of “community-driven” governance, collectively defining iDAO operational rules—including what constitutes contribution, quality standards, usage protocols, and revenue-sharing mechanisms;
Crucially, the community also drives the healthy, sustainable evolution of iDAO: members can review each iDAO’s market performance, propose governance improvements, vote on proposals, and have final decisions executed transparently after verification via the verifiable computing framework—ensuring iDAO continuously evolves in alignment with community interests.
With iDAO serving as the governance brain, DATs acting as carriers of AI assets and value flow, and verifiable computing ensuring authenticity, transparency, and auditability, LazAI establishes a truly closed-loop system for AI: one built on data sharing, verifiable operations, and returning value to contributors.
Guided by a strategy of “product and vision in parallel,” the early release of two core products—Lazbubu and LazPad—before the mainnet launch has made LazAI’s concrete path to eliminating AI value exploitation and reshaping value distribution clearly visible to users.
Lazbubu: Your First Growing AI Companion
How exactly does one interact with Lazbubu—an AI asset built on the “nurturing” concept, featuring memory, personality, and evolving capabilities?
Let’s explore Lazbubu’s gameplay to better understand the characteristics of DAT assets.
On one hand, owners shape Lazbubu:
Whether obtaining a blind box through the whitelist event or receiving a redemption code via social media or community channels, users can mint Lazbubu in the LazPad Exploration Zone. Lazbubu comes in four tiers: Common, Advanced, Rare, and Legendary.
Shaping begins at minting: users can customize attributes such as name and appearance. Then, through various interactive tasks, users foster Lazbubu’s growth. Different tiers of Lazbubu have varying daily message interaction limits; meaningful conversations and engagement accelerate growth. Additionally, users can send Lazbubu on adventures—interactive exploration missions that serve as effective ways to speed up development.
Meanwhile, Lazbubu generates long-term value for its owner:
First, wallets that successfully mint a Lazbubu will share a $50,000 prize pool in $CALITH tokens. $CALITH is the first project to conduct an IDO and TGE on Lazpad, and saw remarkable price gains post-launch.
Second, when Lazbubu returns from an adventure, it brings back rewards such as travel stories, postcards, or points. The rarer the attributes, the higher the chance of receiving rare rewards.
Furthermore, as a growing AI agent, Lazbubu receives a one-time point bonus upon maturation. After maturation, transfer functionality is unlocked, allowing well-trained Lazbubus to be traded for profit.
As an early access credential to the LazAI ecosystem, minting, holding, and training Lazbubu unlocks future benefits within the ecosystem. Beyond point rewards, these include access to DAT blind boxes, expanded memory storage, mainnet yield boosts, early product access, and other potential perks.
Of course, as an asset, Lazbubu’s minting, growth, and circulation depend on user participation. LazPad—the other core product already launched—serves precisely as this “interaction gateway.”
LazPad: The Core Hub for AI Interaction Under Long-Term Value Principles
A launchpad without a breakout hit isn’t truly successful—and LazPad’s first IDO, Corrupted Alith, achieved exactly that:
After its successful TGE on June 10, 2025, Corrupted Alith’s $CALITH token surged to an all-time high of 0.6036 on August 10, representing a 6,750% increase from its TGE opening price of $0.0088. It became the highest-gaining AI-themed token in the Metis ecosystem that year. According to Netswap data, $CALITH currently trades at $0.3525—still over 4,000% above its TGE price.
In conjunction with Lazbubu, Corrupted Alith set up a $50,000 $CALITH token reward pool for users who minted Lazbubu, with airdrops distributed between September 11 and 14.
$CALITH’s success owes much to LazPad.
While most AI agent launch platforms still carry a speculative reputation, the unique growth mechanics of DATs require genuine, sustained user engagement to nurture asset development, creating deep, lasting bonds between users and assets—giving LazPad a solid foundation to transcend hype and uphold long-term value principles.
Beneath this breakout success, LazPad functions as an AI agent launch platform with three core components:
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Creation Hub: Where AI assets are minted
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Interaction Hub: Where users engage, contribute value, and promote DAT growth
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Rewards Hub: Where users earn ongoing rewards through contributions
In a landscape where low-barrier AI agent issuance feels like searching for treasure in a sandstorm, LazPad’s three-zone design serves as a comprehensive guide—from beginner to expert—for all stages of user involvement.
The Exploration Zone, home to Lazbubu, is the AI playground for new LazAI users:
This zone hosts DATs that haven’t yet begun their asset journey—a raw, unexplored space waiting for user input. Users can freely explore, interact, complete tasks, and shape each DAT through real decisions to earn points. Meanwhile, creators can observe behavior, gather feedback, and refine their products.
The Open Launch Zone is LazPad’s core creative platform, functioning as a public stage for AI innovation within the LazAI ecosystem:
All users and developers can deploy AI agents here, and data contributors can publicly share data assets. To reduce volatility and incentivize real development, the zone features a price unlock mechanism: if an asset fails to reach its target price, no additional tokens are issued—enhancing participant confidence and protecting user interests.
The Advanced Launch Zone functions more like a curated boutique section for premium AI projects co-selected by LazAI and the community:
This area is open to professional developers, enterprises, and high-quality contributors, supporting complex AI applications, customized verification, and high-value data transactions. Projects in this zone must demonstrate technical clarity, autonomy, or strong community consensus. They also integrate deeply with LazAI’s task and points systems, strengthening ecosystem ties and enhancing user engagement.
In crypto, narratives often precede products. The impressive product achievements of Lazbubu and LazPad sometimes make people forget that LazAI is still just a testnet project.
Yet as testnet activities continue, they further fuel community enthusiasm for early participation and accumulating positions in the LazAI ecosystem.
Narrative + Product + Resources: Accelerating the New Cycle of Web3 AI
On August 19, LazAI announced the official launch of its testnet, supporting decentralized storage, OpenAI-compatible APIs, native DAT tokenization, verifiable computing, and iDAO governance—with user participation rewarded.
In less than a month since launch, the LazAI testnet has replicated the success of Lazbubu and LazPad. According to official figures, total testnet interactions have exceeded 545,436 and continue to grow.
The community engagement reflected in these numbers demonstrates multidimensional validation of LazAI’s narrative and product execution:
On one hand, LazAI targets the long-standing pain point of “AI value exploitation,” aiming to reconstruct broken incentives and trust gaps in traditional AI systems through a triad of “iDAO governance + DAT tokenization + verifiable computing”—establishing a fair, transparent, and self-reinforcing AI development framework.
On the other hand, product successes—Lazbubu driving minting frenzy and LazPad incubating breakout ecosystem hits—prove LazAI’s ability to turn vision into reality.
More importantly, Metis, standing firmly behind LazAI, will provide immense momentum for its sustainable growth in the future.
Mention Metis, and many associations come to mind: the L2 backed by Vitalik Buterin’s mother’s best friend, the first L2 to launch a fully decentralized sequencer, once an Ethereum L2 Top 5, hosting over a hundred ecosystem apps… Each label underscores Metis’ deep roots in the crypto industry.
Since announcing its full pivot to AI, this accumulated strength has transformed into enhanced technical execution, ecosystem-building, and resource deployment capabilities—all of which will nourish LazAI as a flagship incubation project.
As a key pillar of its AI strategy, LazAI will receive full support from Metis, including funding, partner introductions, and ecosystem expansion.
Moreover, under the broader AI strategy, LazAI will achieve stronger synergies with other AI products in the Metis ecosystem, further building a more powerful AI ecosystem.
Additionally, core components of the Metis AI stack—including the Metis SDK for AI app development, the high-performance AI-native execution layer Hyperion, and the AI-optimized virtual machine MetisVM—will empower LazAI with robust technical capabilities to turn ideas into reality.
Conclusion
From LazPad to Lazbubu to the testnet, we see LazAI’s systematic reimagining of how AI value is measured, verified, and redistributed:
In the old paradigm, data and model contributions are extracted one-sidedly by platforms, resulting in broken incentives and lack of transparency that stifle high-quality supply;
In the new paradigm, iDAO enables negotiable and iterative governance, DAT turns data/models/interactions into growing value-bearing assets, verifiable computing establishes a trust foundation of “traceability and provability,” and LazPad transforms these mechanisms into accessible, cultivatable, and co-creatable growth interfaces.
As LazAI’s value flywheel spins at full speed, it is now firmly on the path to turning the vision of “reshaping AI value distribution” from utopia into reality.
When “speculating on an AI asset” gradually evolves into “participating in a value redistribution pipeline,” the key question for users may shift—not whether to participate, but “on which layer of the contribution curve will you leave your first verifiable footprint?”
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