SweatCoin通過個性化的AI代理擴展其多鍵基礎架構

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。

Move-to-earn platform Sweat has launched a personalized AI agent and expanded its multichain infrastructure in an update designed to improve user onboarding and simplify asset management across blockchains.

轉移到歐文平台的汗水已經推出了個性化的AI代理，並在旨在改善用戶入職用戶的更新中擴展了其多鍵基礎架構，並簡化了跨區塊鏈的資產管理。

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

AI代理，名為MIA（行動中的運動縮寫），由附近的AI驅動 - 一個具有交叉鏈功能的開源AI模型平台，並將集成到汗水錢包中，以幫助用戶橋樑，交換和管理其加密貨幣獎勵，而無需深入加密知識。

Announced on August 22, the update will also see Sweat 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.

8月22日宣布，該更新還將看到汗水對基本，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。

"We've shifted to championing the Movement Economy — an expansive, multichain ecosystem where movement unlocks financial tools, health experiences and self-sovereign identity," said Oleg Fomenko, co-founder of Sweat.

汗水聯合創始人Oleg Fomenko說：“我們已經轉向了運動經濟，這是一個龐大的多小型生態系統，運動可以解鎖財務工具，健康經驗和自我提升的身份。”

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 is using AI to improve its 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。 Stepn正在使用AI來改善其反作用機制，而汗水則致力於使用AI簡化用戶體驗並啟用多鍵分散的財務（DEFI）功能。

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

Sweat應用程序使用移動到歐元的模型，以每7,600個步驟歸功於用戶。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。

While other move-to-earn apps have faced criticism for their high gas fees, Sweat says it will be using a "pay-for-gas in SWEAT" feature to reduce the cost of bridging and swapping assets for users.

雖然其他轉移到歐文的應用程序因其高汽油費而面臨批評，但Sweat表示將使用“汗水中的付費氣”功能來降低用戶橋接和交換資產的成本。

Fomenko explained that Mia is more like "a helpful friend" than a technical dashboard, focusing on "guiding users through tracking how steps convert into Sweat tokens, earning staking rewards, or performing onchain actions like swapping or bridging tokens."

Fomenko解釋說，MIA更像是“一個有益的朋友”，而不是技術儀表板，專注於“指導用戶，通過跟踪台階如何轉換為汗水代幣，獲得放入獎勵或執行諸如交換或橋接令牌之類的OnChain動作”。

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。

As AI-driven tools become more integrated with crypto wallets, concerns around data privacy and misuse have also risen. Fomenko said these risks are being addressed through "a combination of GDPR (General Data Protection Regulation)-compliant data handling practices, secure anonymization protocols and frequent external audits".

隨著AI驅動的工具與加密錢包的整合在一起，對數據隱私和濫用的擔憂也在增加。 Fomenko表示，這些風險是通過“ GDPR（一般數據保護法規） - 組合數據處理實踐，安全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," he added.

他補充說：“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，Sweat確保了AI是Web3旅程中有用，安全和可信賴的助手。”

However, as AI agents scale, the risk of AI-driven phishing attacks also 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，機器人發送的個性化信息緊密模仿了合法的通信。為了解決這些問題，福蒙科說：“ MIA透明地運作，提供清晰，可解釋的提示，用戶可以控制，他們可以隨時接受，拒絕或覆蓋建議。”