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该更新旨在通过提供交互式指导并简化跨区块链的资产管理来改善用户入门。
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是一个转移到欧文的平台,奖励用户进行体育活动,它推出了个性化的AI代理,并扩展了其多键基础架构。该更新旨在通过提供交互式指导并简化跨区块链的资产管理来改善用户入门。
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,名为MIA(行动中的运动简称),由附近的AI驱动,这是一个具有交叉链功能的开源AI模型平台。 MIA集成到汗水钱包中,帮助用户无需深入的加密知识即可桥接,交换和管理加密货币奖励。
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.
汗水正在推出对基础,以太坊,仲裁和BNB链的支持。在该应用程序中,用户现在可以跨越网络桥梁资产和交换本地令牌,可以选择在汗水(汗水)代币中支付汽油费。
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联合创始人Oleg Fomenko告诉Cointelegraph:“我们已转向倡导运动经济 - 一个广阔的多键生态系统,其中运动不仅得到奖励,而且还可以解锁获得财务工具,健康经验和自我主张的身份的机会。”
Personalized AI agents aim for a simpler interface
个性化的AI代理的目标是更简单的界面
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.
进入欧文是一种新兴模型,可通过将运动与技术相结合来奖励用户进行体育活动。 Stepn,Plena和Sweat等应用程序正在探索整合AI以增强其平台的方法。例如,Stepn采用AI来改善反实际机制,而汗水则专注于使用AI简化用户体验并启用多章分散融资(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.
汗水使用转移到摩恩恩的模型,每7600个步骤都会奖励用户。用户可以将其令牌奖励交换为产品,捐赠或将其转换为他们选择的货币。
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告诉Cointelegraph,MIA更像是“有帮助的朋友”,而不是技术仪表板。它专注于“通过跟踪步骤转换为汗水代币,赚取积分奖励或执行诸如交换或桥接令牌(例如桥接令牌)的步骤转换为“指导用户”。”
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.
根据Sweat的说法,该钱包有2000万用户和超过1900万的代币持有人。 MIA还将根据每个用户的行为和偏好(包括浮出水面相关报价,设置提醒或解释新钱包功能)来个性化应用程序内建议。
Privacy and security remain priorities
隐私和安全仍然是优先事项
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”.
随着AI驱动的工具变得更加与加密钱包的整合在一起,对数据隐私和滥用的担忧已经增加。 Fomenko告诉Cointelegraph,风险是通过“ GDPR(通用数据保护法规) - 组合数据处理实践,安全的匿名协议和频繁进行外部审核的组合”来解决的。
“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补充说:“通过与最高的隐私标准保持一致并确定用户主权的优先级,汗水确保AI是Web3旅程中的有用,安全和可信赖的助手。”
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,随着AI代理的规模,AI驱动的网络钓鱼攻击的风险增加,机器人发送的个性化消息非常模仿合法的通信。为了解决这些问题,Fomenko说:“ MIA透明地运作,提供清晰,可解释的提示,用户可以在哪里控制 - 他们可以随时接受,拒绝或覆盖建议。”
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