介紹iagent：用於培訓，擁有和貨幣化AI代理商的分散框架

人工智能景觀正在發展。傳統的AI模型仍然依賴於靜態文本數據和公司控制。

Vancouver, Canada, March 18th, 2025, Chainwire

加拿大溫哥華，2025年3月18日，鏈條

The artificial intelligence landscape is evolving. Traditional AI models remain centralized, reliant on static text data and corporate control. iAgent is introducing a decentralized AI framework where AI agents are trained, owned, and monetized on-chain using real-world visual data.

人工智能景觀正在發展。傳統的AI模型仍然集中，依賴於靜態文本數據和公司控制。 Iagent正在推出一個分散的AI框架，其中使用現實世界的視覺數據在鍊子上訓練，擁有和貨幣化。

Backed by a recent $3 million investment, iAgent has forged several strategic partnerships with leading projects such as Base, LayerZero, Avalanche, Aethir, Arbitrum, and XAI Games. With over 700,000 users on its AGNTxp platform, iAgent is at the forefront of AI x Gaming x DePIN innovation.

在最近的300萬美元投資的支持下，Iagent與Base，LoyeZero，Avalanche，Aethir，Dionmum和Xai Games等領先項目建立了多個戰略合作夥伴關係。 Iagent在其AGNTXP平台上擁有超過700,000個用戶，位於AI X Gaming X Depin Innovation的最前沿。

Now, with TGE live, iAgent is laying the foundation for AI Agents to become a new digital asset that can be trained, validated, and exchanged transparently.

現在，隨著TGE Live，Iagent為AI代理商成為一個可以透明培訓，驗證和交換的新數字資產奠定了基礎。

“AI should be decentralized, transparent, and monetizable. iAgent is ensuring AI models belong to those who train them, not corporations.” — Jamie Batzorig, Co-Founder of iAgent.

“人工智能應分散，透明和貨幣化。 - 艾格特（Iagent）的聯合創始人傑米·巴佐里格（Jamie Batzorig）。

iAgent’s product hub: Powering the AI economy

Iagent的產品中心：為AI經濟提供動力

iAgent’s ecosystem consists of a suite of interconnected products aimed at supporting AI development, deployment, and monetization through a decentralized framework. Each component is designed to enhance the verifiability, scalability, and accessibility of AI models across various ecosystems.

Iagent的生態系統由一套相互聯繫的產品組成，旨在通過分散的框架來支持AI開發，部署和貨幣化。每個組件旨在增強各種生態系統中AI模型的可驗證性，可伸縮性和可訪問性。

Visual learning model (VLM): Adaptive AI training

視覺學習模型（VLM）：自適應AI培訓

Unlike traditional AI that relies on text-based training (LLMs), iAgent’s Visual Learning Models (VLMs) enable AI agents to learn from real-world gameplay footage. This approach allows AI to analyze, strategize, and adapt dynamically, making them more intelligent and applicable in real-world scenarios.

與依靠基於文本的培訓（LLM）的傳統AI不同，Iagent的視覺學習模型（VLMS）使AI代理可以從現實世界中的遊戲錄像中學習。這種方法使AI可以動態分析，策略和適應，使其在現實世界中更聰明和適用。

iAgent’s VLM-powered AI utilizes real-player interactions to enhance its adaptability, enabling continuous optimization for performance in competitive gaming environments and other applications:

Iagent的VLM驅動的AI利用房地產商相互作用來增強其適應性，從而在競爭性遊戲環境和其他應用程序中對性能進行連續優化：

ERC-** Agent standard: A new AI digital asset class

ERC- **代理標準：新的AI數字資產類別

iAgent’s ERC-** standard will bring AI Agents on-chain as verifiable, secure, and interoperable digital assets. This aims to enable true ownership, trading, and cross-chain utilization without centralized control. While enhancing trust and transparency through provable authenticity and ownership history.

Iagent的ERC- **標準將使AI代理在鏈上成為可驗證，安全和可互操作的數字資產。這旨在實現真正的所有權，交易和跨鏈利用，而無需集中控制。同時通過可證明的真實性和所有權歷史來增強信任和透明度。

AI Agent marketplace: The open AI economy

AI代理市場：開放AI經濟

The AI Agent Marketplace serves as the foundation of iAgent’s decentralized ecosystem, enabling seamless AI model deployment, trading, and monetization. Developers can list AI-powered agents for rental or sale, while businesses and game studios can purchase or integrate AI models tailored to their needs.

AI代理市場是Iagent分散生態系統的基礎，實現了無縫的AI模型部署，交易和貨幣化。開發人員可以列出租賃或銷售的AI驅動代理商，而企業和遊戲工作室可以購買或集成滿足其需求的AI模型。

iAgent DEV hub: Decentralized AI infrastructure

Iagent Dev Hub：分散的AI基礎設施

The iAgent DEV Hub acts as the backbone of the protocol, offering developers and AI researchers a comprehensive suite of tools, SDKs, and APIs to build and optimize AI models. It provides a trustless AI validation framework, leveraging on-chain verification nodes, cross-DePIN compute integration, and AI execution tracking.

Iagent Dev Hub充當協議的骨幹，為開發人員和AI研究人員提供了全面的工具，SDK和API，以構建和優化AI模型。它提供了一個無信任的AI驗證框架，利用鏈上驗證節點，跨模鍵計算集成和AI執行跟踪。

AI in Gaming: The next evolution of intelligent agents

遊戲中的AI：智能代理的下一個演變

Gaming offers high-quality, labeled data, making it a suitable environment for training advanced AI models. iAgent is introducing adaptive AI agents to gaming, facilitating:

遊戲提供高質量的標籤數據，使其成為培訓高級AI模型的合適環境。 Iagent正在將自適應AI代理引入遊戲，促進：

iAgent’s decentralized AI infrastructure will expand beyond gaming, creating an open AI economy applicable across industries.

Iagent的分散AI基礎設施將超越遊戲，從而創造出適用於行業的開放AI經濟。

“Gaming is the first major use case, but our AI infrastructure will extend to multiple sectors. AI models will be owned, monetized, and deployed across various real-world applications.” — MHL Solutions, iAgent Advisor.

“遊戲是第一個主要用例，但是我們的AI基礎架構將擴展到多個部門。AI模型將在各種現實世界應用程序中擁有，貨幣化和部署。” - MHL Solutions，Iagent Advisor。

Roadmap: From foundation to AI eeconomy

路線圖：從基礎到AI的自治

2023-2024: Establishing the iAgent protocol

2023-2024：建立Iagent協議

2025: Scaling AI deployment & monetization

2025：擴展AI部署和貨幣化

March 2025: TGE

2025年3月：TGE

April 2025: First game integration

2025年4月：第一場比賽集成

May 2025: Introducing V2 of the protocol

2025年5月：引入協議的V2

June 2025: Expanding to another major blockchain

2025年6月：擴展到另一個主要區塊鏈

Q3 2025: Launching the AI Agent marketplace

Q3 2025：推出AI代理市場

Q4 2025: Expanding to another DePIN

Q4 2025：擴展到另一個depin