Play AI 公佈使用 Polygon CDK 進行 L2 開發的計劃

PlayAI 公佈了使用 Polygon CDK 進行 L2 開發的計劃，旨在加速遊戲中的 AI 增強。模組化鏈將為智慧遊戲提供技術基礎，滿足個人化體驗。 PlayAI 擁抱遊戲中 AI 的動態特性，優先考慮數據驅動、可升級且經濟高效的解決方案。

Play AI has intentions of developing an L2 with Polygon CDK. The code base will be used to deliver an initial modular chain to speed up AI enhancement in the gaming space.

Play AI 打算使用 Polygon CDK 開發 L2。該程式碼庫將用於提供初始模組化鏈，以加速遊戲領域的人工智慧增強。

The ever-changing face of gaming in AI requires a technological base that helps cross obstacles with intelligent gaming and backs the increased personalized pathway for every gamer. Understanding the necessity for a data-based, upgradeable, and low-cost service, PlayAI has decided to build a modular chain of gaming AI with Polygon CDK.

人工智慧遊戲不斷變化的面貌需要一個技術基礎來幫助智慧遊戲跨越障礙，並為每個遊戲玩家提供更個人化的途徑。 PlayAI 了解基於數據、可升級且低成本的服務的必要性，並決定使用 Polygon CDK 建立遊戲 AI 模組化鏈。

Polygon CDK is an open-source codebase that introduces ZK-boosted L2 chains with malleability, viability, and adaptability. Play AI, in the form of an EVM adaptable modular chain, having privacy-oriented data collection and AI module proof mechanisms, will be developed with Polygon CDK. This is to create a safe and effective gaming AI-oriented rollup. Play AI will work as the intelligence base that initiates the positioning of AI agents needed for gaming in the ecosystem.

Polygon CDK 是一個開源程式庫，引入了 ZK-boost 的 L2 鏈，具有可延展性、可行性和適應性。 Play AI將以EVM適配模組化鏈的形式，具有面向隱私的資料收集和AI模組證明機制，將與Polygon CDK一起開發。這是為了創建一個安全有效的面向人工智慧的遊戲匯總。 Play AI 將作為智慧基礎，啟動生態系統中游戲所需的人工智慧代理的定位。

With Polygon CDK, Play AI intends to connect with the aggregation layer (AggLayer), which brings together the advantages of the rigid and modular framework by uniting liquidity via secure and atomic cross-chain transactions. This is by utilizing ZK proofs, which assist in building an interconnected network that acts as a sole chain with united liquidity and endless upgradability.

Play AI 打算透過 Polygon CDK 與聚合層（AggLayer）連接，透過安全和原子的跨鏈交易來統一流動性，從而匯集剛性和模組化框架的優勢。這是透過利用 ZK 證明來幫助建立一個互連網絡，該網絡充當具有統一流動性和無限可升級性的唯一鏈。

For Play AI network users, it creates connectivity with high-level data, a must for training AI modules throughout all games, and ascertains smooth adaptability with present gaming-oriented chains. This initiates cross-messaging and interoperability in the Play AI ecosystem.

對於 Play AI 網路用戶來說，它可以與高級數據建立連接，這是在所有遊戲中訓練 AI 模組所必需的，並確保與現有的遊戲鏈的平滑適應性。這啟動了 Play AI 生態系統中的交叉訊息傳遞和互通性。

With the help of this tech stack, Play AI intends to develop a space maximized for connectivity with high-level gaming data, making it easy for AI agents to be positioned and incorporated within Web3 games. They will be delivering an NFT for the community in this regard.

借助該技術堆疊，Play AI 打算開發一個最大化與高級遊戲數據連接的空間，使 AI 代理能夠輕鬆定位並合併到 Web3 遊戲中。他們將在這方面為社區提供 NFT。

Play AI is the initial modular chain for AI in gaming. It is mainly created to offer builders high-level gaming data, make available a framework for positioning AI agents and modules, and reward users for their gaming. Play AI utilizes the decentralized and trustless aspect of Web3 for collecting data.

Play AI 是遊戲人工智慧的最初模組化鏈。它的主要目的是為開發者提供高級遊戲數據，提供用於定位人工智慧代理和模組的框架，並獎勵用戶的遊戲。 Play AI 利用 Web3 的去中心化和去信任性來收集資料。

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