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Meta推出Muse AI代理,消费者会信任吗?
Meta的Muse AI代理需要访问用户邮件、日历、支付等数据,这是其最大的消费者AI押注,也是对用户信任的考验。
AI推荐理由 TechCrunch报道Meta发布Muse AI代理,聚焦消费者信任问题,内容涉及数据访问权限,具有新闻价值,但可能重复Wired报道,且缺乏技术细节。
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在Meta同意就社交媒体对消费者的伤害诉讼达成大规模180亿美元多州和解协议后不到两周,该公司宣布了迄今为止在消费者AI领域最大的一次押注——而且这次需要的信任远超社交媒体。周二,该公司推出了Muse,其新的个人AI代理,帮助美国用户处理日常任务和项目。
要使用Muse,消费者将不得不比以往任何时候都更多地信任Meta,提供更多个人信息。该AI代理通过连接到用户日常工作中使用的应用和服务来工作,如电子邮件、日历、支付,以及个人可能经常使用的其他服务,如健康和健身应用、智能家居、餐饮、购物、音乐和活动等。
这个想法是对ChatGPT时代之后的一次重大押注,在ChatGPT时代,AI聊天机器人回答问题、充当传声板,甚至成为数字伴侣。相反,Muse专注于能够真正为你做事的AI。
图片来源:Meta
该公司表示,该代理可以执行诸如发送电子邮件、预订旅行、降低账单、填写表格、制定计划、将食谱短视频转化为购物清单、发送派对邀请以及进行购买等操作,利用Stripe的Link进行结账。后者提供购买保护,这可能会缓解消费者对让AI代表他们结账的担忧。(Shopify的Shop Pay和1Password集成也即将推出。)
Muse的用户可以决定要连接哪些应用和服务,一次连接一个,以使使用Muse的选择加入性质更加透明。该代理由Meta的AI模型Muse Spark驱动,并内置了多个服务的连接器(如下图所示),并计划随着时间的推移增加更多。如果用户想要的服务不可用但提供公共API,Muse可以使用用户提供的凭据建立连接。当没有API可用时,Muse可以通过浏览器访问该服务。
图片来源:Meta
Muse最初将通过muse.ai网站、iOS和Android应用以及WhatsApp中的聊天提供。该公司表示,它很快也将进入Meta的AI眼镜。它将免费使用,但随着使用量的增加,订阅计划将启动,这就是为什么Muse需要支付卡才能开始。
发布时将提供两个付费计划:Power每月20美元和Maximum每月100美元。这两个订阅都提供更多的Muse使用量,用于处理日常任务,尽管Meta认为大多数人将保持在免费层级。(该公司表示,该应用包含一个使用量计量器,向用户显示剩余使用量的百分比。它还会在免费使用量用完时警告用户,并提供订阅选项。)
与其他AI代理一样,Muse将在用户离开应用后继续工作。Meta指出,它还将通过从用户的对话中学习什么对他们重要,随着时间的推移而改进,并主动提出建议。
图片来源:Meta
这个概念并非Meta独有。代理时代现在正在到来,大公司和小型初创公司都在尝试AI代理如何对消费者最有意义,以及如何融入人们的日常生活。
一些公司尝试了AI网络浏览器或服务,如Gemini Spark或Claude Cowork,可以代表消费者启动各种任务。其他公司则将AI集成到消费者最常用的聊天应用中,如苹果的iMessage平台、短信和WhatsApp。
图片来源:Meta
尽管这些强大的代理很有用,但它们迫使消费者面对关于他们愿意放弃多少隐私的难题。AI助手Instinct的许多早期测试者震惊地发现,该应用要求获得广泛的“永久且不可撤销”的许可,以“访问、使用、托管、缓存、存储、复制、传输、显示、发布、分发和修改”用户的任何材料,包括用于训练其AI模型。
图片来源:Meta
在幕后,Meta声称Muse在其自己的“专用、安全的计算机及其自己的浏览器”Muse Secure VM中运行,该虚拟机为客户数据提供各种隐私、安全和保障保护。该公司表示,一个独立的Sentinel代理在同一虚拟机上运行,但在系统级别与Muse分开。
图片来源:Meta
这意味着Muse将无法看到人们的密码或支付方式。Meta还声称Muse不会与Meta的广告系统共享人们的对话或数据。
(这些声明在同样于今天发布的一篇技术文章中得到了更详细的解释,但需要安全专家进行更深入的调查。)
Meta的历史会损害Muse的采用吗?
尽管Meta记录了其安全措施,但其是否拥有足够的消费者信任以使代理成功仍有待观察。
就目前而言,Meta有言行不一的历史。例如,2011年,这家科技巨头与联邦贸易委员会(FTC)就欺骗消费者的指控达成和解,该指控称其未经用户批准将用户的私人信息公开。2019年,FTC对Facebook处以当时创纪录的50亿美元罚款,涉及八项与隐私相关的违规行为。2023年,FTC指控Meta违反了2019年和解后提交的隐私命令。
在技术问题上,Meta之前也有过重大失误,2019年发现一些用户的密码以可读格式存储,使人们面临潜在的黑客攻击。大规模的Cambridge Analytica数据丑闻,即数百万消费者的Facebook数据在未经同意的情况下被第三方收集,也仍然萦绕在人们心头。
Meta Platforms Inc.首席执行官马克·扎克伯格于2026年2月18日(周三)离开美国加利福尼亚州洛杉矶的洛杉矶高等法院。扎
克伯格作证说,执行Instagram的年龄限制“非常困难”,并在一次关于社交媒体成瘾的里程碑式审判中淡化了青少年用户对公司业务的贡献。图片来源:Kyle Grillot/Bloomberg(在新窗口中打开)/ Getty Images
Meta还多次被传唤到国会作证,说明它如何保护——或未能保护——未成年人免受伤害。由于国会未能采取行动,Meta最终成为几起相关诉讼的目标,包括Meta刚刚在8月与29个州达成的和解、新墨西哥州关于儿童伤害的诉讼(Meta被责令支付9.42亿美元),以及数千起针对多家社交媒体巨头的个人伤害和学区案件,这些案件仍在审理中。
为了缓解消费者的担忧,Meta不仅深入讨论其安全承诺,提供技术文档和解释。该公司还设计了Muse,使消费者感觉与代理本身联系更紧密。用户可以通过给Muse命名、选择其头像、配置其外观以及各种设置来定制Muse,这些设置决定了代理如何与他们沟通。
时间将证明这种个人联系和Muse提供的实用性是否足以让消费者再次信任Meta,将个人信息交给它。
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莎拉·佩雷斯
消费者新闻编辑
莎拉自2011年8月以来一直在TechCrunch担任记者。她在ReadWriteWeb工作了三年多后加入公司。在担任记者之前,莎拉曾在多个行业从事IT工作,包括银行、零售和软件。
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Less than two weeks after Meta agreed to a massive $18 billion multistate settlement in a lawsuit over social media’s consumer harms, the company announced its biggest bet on consumer AI to date — and one that requires significantly more trust than social media ever did. On Tuesday, the company introduced Muse, its new personal AI agent that helps consumers with everyday tasks and projects for users in the U.S.
To use Muse, consumers will have to trust Meta with more of their personal information than ever before. The AI agent works by connecting to the user’s apps and services that are a part of everyday workflows, like email, calendars, payments, and other things the individual may regularly use, like apps for health and fitness, the smart home, dining, shopping, music and events, and more.
The idea is a sizable bet on what comes after the ChatGPT era, where AI chatbots answered questions, served as sounding boards, or even became digital companions. Instead, Muse is focusing on AI that can actually do things for you.
Image Credits:Meta
The company says the agent can do things like sending emails, booking travel, lowering bills, filling out forms, creating plans, turning recipe reels into grocery lists, sending party invitations, and making purchases, leveraging Link by Stripe for checkout. The latter offers purchase protections, which could potentially ease consumers’ fears of letting an AI check out on their behalf. (Shopify’s Shop Pay and 1Password integrations are also coming soon.)
Muse’s users can decide which apps and services they want to connect, doing so one at a time, to make the opt-in nature of using Muse more transparent. The agent is powered by Meta’s AI model, Muse Spark, and ships with built-in connectors (pictured below) for several services, with plans to add more over time. If a service the user wants isn’t available but offers a public API, Muse can set up a connection using credentials the user provides. When no API is available, Muse can access the service via the browser instead.
Image Credits:Meta
Muse will initially be available via the web at muse.ai, through apps on iOS and Android, and through chats in WhatsApp. It will soon also make its way to Meta’s AI glasses, the company says. It will be free to use, with subscription plans kicking in as usage increases, which is why Muse requires a payment card to get started.
Two paid plans will be available at launch: Power at $20/month and Maximum at $100/month. Both of these subscriptions offer more Muse usage for handing off everyday tasks, though Meta believes most people will remain on the free tier. (The company says the app includes a usage meter that shows users what percentage of their usage they have left. It will also warn users when free usage runs out and present options to subscribe.)
Like other AI agents, Muse will continue to work even after the user leaves the app. It will also improve over time by learning from the user’s conversations what’s important to them to make suggestions unprompted, Meta noted.
Image Credits:Meta
The concept is not unique to Meta. The agentic era is now coming into its own, as larger companies and smaller startups alike are experimenting with how AI agents will make the most sense for consumers and can become integrated into people’s daily lives.
Some have tried AI web browsers or services, like Gemini Spark or Claude Cowork, that can kick off various tasks on consumers’ behalf. Others are integrating AI into the chat applications consumers use the most, like Apple’s iMessage platform, SMS, and WhatsApp.
Image Credits:Meta
Despite their usefulness, these powerful agents have forced consumers to wrestle with difficult questions about how much privacy they’re willing to give up. Many early testers of the AI assistant Instinct were shocked to see the app required a broad “perpetual and irrevocable” license to “access, use, host, cache, store, reproduce, transmit, display, publish, distribute, and modify” any of the user’s materials, including for training its AI models.
Image Credits:Meta
Under the hood, Meta claims that Muse runs in its own “dedicated, secure computer with its own browser,” Muse Secure VM, which offers various privacy, safety, and security protections over customers’ data. The company says a separate Sentinel agent runs on that same virtual machine, but is kept apart from Muse at the system level.
Image Credits:Meta
This means Muse won’t have visibility into people’s passwords or payment methods. Meta also claims that Muse doesn’t share people’s conversations or data with Meta’s ads systems.
(These claims are explained in more detail in a technical post, also released today, but will require deeper investigation by security experts.)
Could Meta’s history hurt Muse adoption?
Despite Meta’s documentation of its security measures, it remains to be seen whether the company has enough consumer trust for its agent to be successful.
As it stands, Meta has a history of proclaiming one thing and doing another. In 2011, for instance, the tech giant settled with the FTC over charges that it deceived consumers by making users’ private information public without their approval. In 2019, the FTC penalized Facebook in a then record-breaking $5 billion settlement over eight separate privacy-related violations. In 2023, the FTC charged Meta with violating a privacy order that was filed after the 2019 settlement.
In terms of technical matters, Meta has also had some big missteps before, having discovered in 2019 a number of users’ passwords in readable formats, exposing people to potential hacks. The massive Cambridge Analytica data scandal, which saw Facebook data belonging to millions of consumers collected by a third-party without their consent, still lingers in some people’s minds, too.
Mark Zuckerberg, chief executive officer of Meta Platforms Inc., exits Los Angeles Superior Court in Los Angeles, California, US, on Wednesday, February 18, 2026. Zuckerberg testified that it’s “very difficult” to enforce Instagram’s age limits and downplayed how much teen users do for the company’s business during a landmark trial over social media addiction.Image Credits:Kyle Grillot/Bloomberg (opens in a new window) / Getty Images
Meta has also been repeatedly hauled before Congress to testify on how it protected — or failed to protect — minors from harm. With Congress failing to act, Meta ultimately became the target of several related lawsuits, including the one Meta just settled with 29 states in August, a New Mexico lawsuit over harms for children, where Meta was ordered to pay $942 million, and the thousands of personal-injury and school-district cases that are still pending against multiple social media giants.
To ease consumers’ fears, Meta not only talks in depth about its security promises, offering technical documentation and explanations. The company has also designed Muse in a way that would make consumers feel more connected with the agent itself. Users can customize Muse by giving it a name, picking out its avatar, and configuring its look and various settings that dictate how the agent communicates with them.
Time will tell if this personal connection and the utility Muse provides are enough for consumers to once again trust Meta with their personal information.
Topics
AI, ai apps, Apps, consumer apps, Meta, Social, TC
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Sarah Perez
Consumer News Editor
Sarah has worked as a reporter for TechCrunch since August 2011. She joined the company after having previously spent over three years at ReadWriteWeb. Prior to her work as a reporter, Sarah worked in I.T. across a number of industries, including banking, retail and software.
You can contact or verify outreach from Sarah by emailing sarahp@techcrunch.com or via encrypted message at sarahperez.01 on Signal.
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