How does Mirror World discover alpha through AI Asset Agents (AAA)?
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How does Mirror World discover alpha through AI Asset Agents (AAA)?
The very existence of AI brings rational order into chaotic systems, reducing entropy for the system.
Navigating Web3 tides with focused insightsLife feeds on negative entropy; AI thrives on entropy reduction.
The Birth of World Store: Combating Crypto’s Entropy with AI Asset Agents (AAA)
The development of blockchain is rapidly entering a phase of increasing entropy. The emergence of various Layer 1 and Layer 2 ecosystems, the growth of diverse assets spread across different ecosystems, and the proliferation of smart contracts and protocols have all contributed to an extremely high level of complexity within the entire blockchain system. This foundational complexity further translates into high operational barriers for end users: cross-chain asset settlement and purchases, discovering high-quality assets scattered across disparate ecosystems, fiat-to-crypto onboarding, and more. At their core, all these issues point toward key terms—“disorder, chaos, and high complexity.”
Generated By DALL·E
This offers us a fascinating perspective—one of viewing the entire blockchain system through the lens of thermodynamics and entropy increase. While not strictly accurate from a scientific standpoint, it undeniably provides a new way to understand the current trajectory of blockchain development.
We know that in isolated or closed systems, entropy always increases—that is, systems tend to evolve from order to disorder. As described above, this very process is currently unfolding within the blockchain ecosystem. Without consumer-grade applications or significant inflow of external users, the system becomes increasingly isolated, ultimately heading toward its well-known fate: “heat death.”
Therefore, to counteract entropy increase by attracting more users from “external systems,” existing participants have proposed and developed various tools and services aimed at reducing operational complexity and lowering industry entry barriers. However, it must be acknowledged that the emergence of these individual tools has further led to ecosystem fragmentation, imposing heavy costs on users in terms of information filtering and switching between products.
In emerging ecosystems, information volume and overall complexity are extremely high, yet current tools fail to effectively reduce the signal-to-noise ratio. As a result, even when users focus on a specific ecosystem, they often “miss out” and fail to capture direct value. For example, users may still overlook assets aligned with their interests or investment preferences across numerous EVM or non-EVM ecosystems simply because they haven’t been paying attention. Or, users might spend excessive time selecting optimal routing for a critical transaction, causing them to miss ideal execution windows.
Fortunately, these problems now have increasingly straightforward solutions. With the advancement and maturation of AI agents, their greatest strength lies in helping users navigate vast information landscapes, reduce dimensionality, identify optimal solutions, and capture core value. The very existence of AI introduces rational order into chaotic systems—bringing about entropy reduction.
Mirror World deeply recognizes the necessity of this path. By creating AI Asset Agents (AAA), Mirror World aims to discover high-value assets centered around users’ core goals and interests, leverage on-chain behavioral data to enable optimal routing decisions via AAA, and reduce users’ purchasing and trading costs. AAA delivers personalized recommendations from vast asset categories while enabling seamless settlement of any currency into any asset across any ecosystem.
These insights and visions are conclusions drawn from our two years of hands-on experience in “asset distribution” and “asset settlement.” They have directly inspired Mirror World’s upcoming product launch on December 18: World Store.
1/ The Logical Brain of World Store: AI Asset Agents (AAA)
As mentioned, the creation of World Store is a direct response to the challenges outlined above. By integrating the capabilities of AI Asset Agents, World Store effectively addresses user struggles with information overload and transactional complexity, delivering a more intuitive and efficient experience for asset issuance and trading.
Token Deposit Center
NFT Deposit Center
Within World Store, users can discover various assets recommended based on their interests and preferences, and purchase or settle them using familiar fiat currencies or cryptocurrencies.
Assets recommended based on users’ on-chain holdings and interactions
As the logical brain of World Store, AI Asset Agents utilize natural language processing (NLP) and machine learning to understand user needs and preferences, then recommend relevant assets and digital content based on users’ on-chain interaction history and asset holdings. Building upon this foundation, large language models (LLMs) are leveraged to further enhance and enrich the recommendation system, achieving effects that traditional systems cannot quickly replicate.
TALLRec Framework
Compared to traditional recommendation algorithms, LLMs contain rich knowledge mined from massive web corpora, allowing them to supplement the user behavior data traditionally relied upon. While conventional methods depend heavily on behavioral logs, LLMs integrate world knowledge with user interaction data to deliver more comprehensive recommendations. Moreover, LLMs can adapt to new domains with zero or few examples, enabling effective recommendations even under limited task-specific data (e.g., wallet transaction records), whereas traditional algorithms typically require large volumes of domain-specific training data.
Additionally, LLMs support multiple recommendation tasks—such as sequential recommendation, rating prediction, and explanation generation—within a unified framework, while traditional approaches usually require separate models per task. Furthermore, LLMs offer interactivity and feedback mechanisms, enhancing user experience and model explainability. AI Asset Agents can engage in conversational interactions to better understand user intent and dynamically adjust recommendation strategies. Users can express specific requests or provide feedback during conversations, allowing AAA to continuously refine and optimize recommendations.
User Profile Generated with AI Asset Agents (AAA)
AI Asset Agents continuously learn from user interactions via machine learning, improving their recommendation algorithms over time. This means the system becomes increasingly tailored to individual user preferences as usage accumulates.
2/ The Execution Engine of World Store: AI-Powered Asset Settlement Center
On the execution side of asset trading and settlement, World Store integrates various fiat onramps, cross-chain service providers, and decentralized exchanges (DEXs) to create a unified payment and settlement hub. All user operations related to payments and asset settlements can be completed seamlessly within World Store. During each operation, AI Asset Agents recommend optimal execution routes based on user choices, reducing interaction complexity and minimizing transaction execution costs.
Currently, World Store supports fiat onboarding for over 150 countries, more than 50 local payment methods, and over 10 major blockchain networks. It has already integrated 23 blockchains, 15 bridges, and 28 DEXs to enable users to exchange any token across any network.
Global Asset Checkout
Consider this scenario: a gaming NFT is deployed on Polygon. A player logs into the game via their wallet on the Polygon network but cannot directly purchase the in-game asset within the app because the required tokens reside on another blockchain. Cross-chain operations introduce too much complexity. However, once World Store is integrated, players will be able to effortlessly use assets from any network to buy and settle transactions for that game item.
Moreover, as users interact with World Store, their behavioral data will be fed back into AI Asset Agents to further improve recommendation quality. To reward users for contributing to algorithm training and engaging in asset transactions, we have introduced a Points System to incentivize participation.
All these features are available directly within the World Store asset purchase flow. Additionally, Mirror World will offer open APIs and Widget integration services to application developers, aiming to help more projects overcome challenges related to complex asset settlement and monetization.
List of Supported Fiat Currencies
3/ The Reward Hub of World Store: Points System
As noted above, to further support user transaction activity and data contribution for algorithm training, we offer incentives to all users who interact with the product, encouraging active engagement. Hence, we have launched the Points System.
Raffle Tickets can be redeemed for Lucky Draws upon World Store's release on Dec 18
Under the Points System design, users earn potential rewards simply by transacting assets through World Store. Similar to credit card loyalty points, every asset purchase or exchange grants corresponding point rewards.
These points will serve as a key metric for assessing user activity, engagement, and contribution in Mirror World’s future operations. They will directly determine eligibility for rights, benefits, and rewards in upcoming product releases, tokenomics designs, community airdrops, and more.
Closing Thoughts
The integration of World Store and AI Asset Agents aims to deliver a revolutionary user experience, lower the barrier to interacting with blockchain assets, enhance asset usability and discovery of high-quality assets, and ultimately bring entropy reduction to the entire blockchain system.
As LLMs and blockchain technologies continue to advance and mature, we are inevitably boarding this accelerating train of technological progress—one that will guide us all toward uncovering Alpha in the coming crypto bull market.
December 18, 2023: The World Store Alpha Version will launch soon. We look forward to seeing you there:
https://worldstore.mirrorworld.fun
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