Sweat是一個轉移到歐文的平台，獎勵用戶進行體育活動，它推出了個性化的AI代理，並擴展了其多鍵基礎架構。

該更新旨在通過提供交互式指導並簡化跨區塊鏈的資產管理來改善用戶入門。

Sweat, a move-to-earn platform that rewards users for physical activity, has launched a personalized AI agent and expanded its multichain infrastructure. The update is designed to improve user onboarding by offering interactive guidance and simplifying asset management across blockchains.

Sweat是一個轉移到歐文的平台，獎勵用戶進行體育活動，它推出了個性化的AI代理，並擴展了其多鍵基礎架構。該更新旨在通過提供交互式指導並簡化跨區塊鏈的資產管理來改善用戶入門。

The AI agent, named Mia (short for Movement in Action), is powered by Near.AI — an open-source AI model platform with crosschain capabilities. Integrated into the Sweat wallet, Mia helps users to bridge, swap and manage their crypto rewards without needing deep crypto knowledge.

AI代理，名為MIA（行動中的運動簡稱），由附近的AI驅動，這是一個具有交叉鏈功能的開源AI模型平台。 MIA集成到汗水錢包中，幫助用戶無需深入的加密知識即可橋接，交換和管理加密貨幣獎勵。

Sweat is rolling out support for Base, Ethereum, Arbitrum and BNB Chain. Within the app, users can now bridge assets and swap native tokens across networks, with the option to pay gas fees in Sweat (SWEAT) tokens.

汗水正在推出對基礎，以太坊，仲裁和BNB鏈的支持。在該應用程序中，用戶現在可以跨越網絡橋樑資產和交換本地令牌，可以選擇在汗水（汗水）代幣中支付汽油費。

Sweat co-founder Oleg Fomenko told Cointelegraph: “We’ve shifted to championing the Movement Economy — an expansive, multichain ecosystem where movement is not only rewarded but also unlocks access to financial tools, health experiences and self-sovereign identity.”

Sweat聯合創始人Oleg Fomenko告訴Cointelegraph：“我們已轉向倡導運動經濟 - 一個廣闊的多鍵生態系統，其中運動不僅得到獎勵，而且還可以解鎖獲得財務工具，健康經驗和自我主張的身份的機會。”

Personalized AI agents aim for a simpler interface

個性化的AI代理的目標是更簡單的界面

Move-to-Earn is an emerging model that rewards users for physical activity by combining movement with technology. Apps like StepN, Plena and Sweat are exploring ways to integrate AI to enhance their platforms. StepN, for example, employs AI to improve anti-cheating mechanisms, while Sweat focuses on using AI to streamline the user experience and enable multichain decentralized finance (DeFi) functionality.

進入歐文是一種新興模型，可通過將運動與技術相結合來獎勵用戶進行體育活動。 Stepn，Plena和Sweat等應用程序正在探索整合AI以增強其平台的方法。例如，Stepn採用AI來改善反實際機制，而汗水則專注於使用AI簡化用戶體驗並啟用多章分散融資（DEFI）功能。

Sweat uses the move-to-earn model, rewarding users for about every 7,600 steps taken. Users can exchange their token rewards for products, donate them or convert them into a currency of their choice.

汗水使用轉移到摩恩恩的模型，每7600個步驟都會獎勵用戶。用戶可以將其令牌獎勵交換為產品，捐贈或將其轉換為他們選擇的貨幣。

Fomenko told Cointelegraph that Mia is more like “a helpful friend” than a technical dashboard. It focuses on “guiding users through tracking how steps convert into Sweat tokens, earning staking rewards, or performing onchain actions like swapping or bridging tokens.”

Fomenko告訴Cointelegraph，MIA更像是“有幫助的朋友”，而不是技術儀表板。它專注於“通過跟踪步驟轉換為汗水代幣，賺取積分獎勵或執行諸如交換或橋接令牌（例如橋接令牌）的步驟轉換為“指導用戶”。”

According to Sweat, the wallet has 20 million users and over 19 million tokenholders. Mia will also personalize in-app recommendations based on each user’s behavior and preferences, including surfacing relevant offers, setting reminders, or explaining new wallet features.

根據Sweat的說法，該錢包有2000萬用戶和超過1900萬的代幣持有人。 MIA還將根據每個用戶的行為和偏好（包括浮出水面相關報價，設置提醒或解釋新錢包功能）來個性化應用程序內建議。

Privacy and security remain priorities

隱私和安全仍然是優先事項

As AI-driven tools become more integrated with crypto wallets, concerns around data privacy and misuse have grown. Fomenko told Cointelegraph that the risks are addressed through “a combination of GDPR (General Data Protection Regulation)-compliant data handling practices, secure anonymization protocols and frequent external audits”.

隨著AI驅動的工具變得更加與加密錢包的整合在一起，對數據隱私和濫用的擔憂已經增加。 Fomenko告訴Cointelegraph，風險是通過“ GDPR（通用數據保護法規） - 組合數據處理實踐，安全的匿名協議和頻繁進行外部審核的組合”來解決的。

“By aligning with the highest privacy standards and prioritizing user sovereignty, Sweat ensures that AI serves as a helpful, secure, and trustworthy assistant in the Web3 journey,” Fomenenko added.

Fomenenko補充說：“通過與最高的隱私標准保持一致並確定用戶主權的優先級，汗水確保AI是Web3旅程中的有用，安全和可信賴的助手。”

However, as AI agents scale, the risk of AI-driven phishing attacks increases, with bots sending personalized messages that closely mimic legitimate communications. To address these concerns, Fomenko said, “Mia operates transparently, providing clear, explainable prompts where users remain in control — they can accept, reject, or override suggestions at any time.”

但是，隨著AI代理的規模，AI驅動的網絡釣魚攻擊的風險增加，機器人發送的個性化消息非常模仿合法的通信。為了解決這些問題，Fomenko說：“ MIA透明地運作，提供清晰，可解釋的提示，用戶可以在哪裡控制 - 他們可以隨時接受，拒絕或覆蓋建議。”