AI 设计 · 创意工具

Meta Muse Image上线
@用户就能生成其AI肖像

Meta Muse Image Goes Live
@Mention Any User for AI Likeness

Meta Superintelligence Labs首个图像生成模型Muse Image发布,支持@其他Instagram账号用其公开照片生成AI图像,用户隐私反弹已经开始。

Meta Superintelligence Labs' first image generation model, Muse Image, launches with the ability to @ mention other Instagram accounts and use their public photos for AI generation — user privacy backlash has already begun.

No.011 2026.07.08 约 5 分钟阅读 ~5 min read

你在Instagram上发过的自拍、旅行照、聚会照——不管你愿不愿意,现在其他用户可以在Meta AI里直接@你的账号,用你的公开照片生成各种AI图像了。

7月7日,Meta正式发布Muse Image——这是Meta Superintelligence Labs(MSL)成立以来推出的首个图像生成模型,由去年从Scale AI挖来的Alexandr Wang带队打造。Muse Image已经接入Meta AI应用、Instagram和WhatsApp的图像生成工具,即将上线Facebook和Messenger。发布不到24小时,用户已经开始因为隐私问题抵制。

Agentic图像生成+@真人肖像,争议拉满

Muse Image的核心卖点,恰恰也是争议最大的功能。

Alexandr Wang在Threads上强调Muse Image是"agentic"的——它和Muse Spark大语言模型协同工作,在生成之前会先理解你的prompt、搜索网络、做规划。这意味着它不只是一个简单的text-to-image模型,而是一个会思考、会搜索、会主动找参考素材的AI图像Agent。

真正引爆争议的是@提及功能。用户在prompt里@某个Instagram用户名,Muse Image就会调用该账号的公开照片来构建视觉形象,生成包含该用户 likeness(肖像)的AI图像。Meta的官方说明是:"标记用户名可以让Meta AI使用公开照片构建视觉形象。"同时Meta也指出用户可以在设置中控制他人如何复用自己的内容生成AI。

但这个"控制"的门槛有多高?普通用户有几个知道Instagram设置里藏着这样一个开关?又有几个用户会在Muse Image上线后第一时间去调整设置?在用户毫不知情的情况下,他们发在Instagram上的公开照片——可能是几年前的旅行照、聚会合照、甚至孩子的照片——已经可以被任何人用来生成AI图像。

从训练数据争议到肖像权争议

AI图像生成的争议,正在从"模型是否用了受版权保护的图片训练"进化到"模型是否可以随意调用真人的肖像生成内容"。

Midjourney和Stable Diffusion时代的争议主要是训练数据版权——艺术家起诉AI公司用了他们的作品训练模型但没有获得授权也没有付费。这个争议还在持续(Midjourney上周刚反诉好莱坞三巨头要求披露他们自己用了多少AI),但Meta把战场直接推进到了一个更敏感的领域:真人的肖像权

和艺术家的作品不同,真人的肖像是一项具体的人格权。你发在Instagram上的公开照片,不等于你同意别人用你的脸生成AI图像——更不用说生成可能让你尴尬、甚至损害你名誉的内容。想象一下:你的同事@你的账号生成一张你穿奇装异服的照片发到群里,你的竞争对手@你的账号生成一张你做虚假宣传的图,甚至有人用你的肖像生成深度伪造的色情内容。虽然Meta有内容政策禁止这些滥用,但内容审核永远是滞后的——伤害已经造成的时候,图片早就传播开了。

"Meta又一次选择了move fast and break things——只不过这次break的是用户对自己肖像的控制权。"—— 一位数字权利倡导者的评论

Meta当然也设置了退出机制,也有内容政策,但问题的本质是:opt-out(选择退出)而不是opt-in(选择加入)的机制设计,本身就是把成本和风险转嫁给了用户。绝大多数用户不会去研究设置菜单里的AI内容复用开关,他们甚至不知道这个功能存在。等他们发现自己的脸被别人用来生成AI图像的时候,木已成舟。

Muse Video也在预告中,Wang称其在"prompt遵循度、视觉保真度、时序一致性"上有竞争力。可以预见,当Muse Video上线支持@用户生成视频时,争议只会更大。AI生成内容的边界,正在被科技巨头们用产品迭代一次次向前推进——而用户的选择权和知情权,总是慢半拍。

在享受AI图像生成带来的创作便利的同时,别忘了去Instagram设置里看看那个AI内容复用开关——你的脸,值得你花两分钟去保护。

明天见。

Those selfies, travel photos, party shots you've posted on Instagram — like it or not, other users can now @ mention your account directly in Meta AI and use your public photos to generate all kinds of AI images.

On July 7, Meta officially launched Muse Image — the first image generation model from Meta Superintelligence Labs (MSL) since its founding, built under the leadership of Alexandr Wang, poached from Scale AI last year. Muse Image already powers image generation tools across the Meta AI app, Instagram, and WhatsApp, and is coming soon to Facebook and Messenger. Less than 24 hours after launch, users had already begun pushing back over privacy concerns.

Agentic Image Generation + Real-Person @ Mentions = Maximum Controversy

Muse Image's core selling point is precisely its most controversial feature.

Alexandr Wang emphasized on Threads that Muse Image is "agentic" — it works together with the Muse Spark LLM to reason through your prompt, search the web, and plan before generating. This means it's not just a simple text-to-image model; it's an AI image Agent that thinks, searches, and proactively finds reference material.

What truly ignited controversy was the @ mention feature. When users @ an Instagram username in a prompt, Muse Image calls on that account's public photos to construct a visual likeness, generating AI images containing that person's likeness. Meta's official explanation: "Tagging a username lets Meta AI use public photos to build a visual." Meta also notes that users can control how others reuse their content for AI in settings.

But how high is the barrier to that "control"? How many regular users know there's such a toggle buried in Instagram settings? How many will actually go adjust those settings immediately after Muse Image launches? Without users' knowledge, their public Instagram photos — travel photos from years ago, group party shots, even kids' pictures — can already be used by anyone to generate AI images.

From Training Data Disputes to Likeness Rights Disputes

AI image generation's controversy is evolving from "did models train on copyrighted images without permission" to "can models freely call on real people's likenesses to generate content."

The Midjourney and Stable Diffusion era's disputes centered on training data copyright — artists suing AI companies for training on their work without authorization or compensation. That dispute continues (just last week Midjourney countersued Hollywood's Big Three demanding disclosure of their own AI usage), but Meta has pushed the battlefield directly into a more sensitive domain: real people's likeness rights.

Unlike artists' works, a person's likeness is a concrete personality right. Posting public photos on Instagram doesn't equal consenting to others using your face to generate AI images — let alone generating content that could embarrass you or damage your reputation. Imagine: a coworker @s your account to generate an image of you in a ridiculous outfit and posts it to a group chat; a competitor @s your account to generate an image of you making false claims; even worse, someone uses your likeness to generate deepfake pornographic content. Meta has content policies prohibiting these abuses, but content moderation always lags — by the time harm is done, the images have already spread.

"Meta has once again chosen to move fast and break things — except this time what's broken is users' control over their own likenesses."— A digital rights advocate's comment

Meta does, of course, offer opt-out mechanisms and content policies, but the fundamental issue is: an opt-out rather than opt-in mechanism design inherently shifts costs and risks onto users. The vast majority of users won't dig through settings menus for an AI content reuse toggle; they won't even know the feature exists. By the time they discover their face is being used to generate AI images, the damage is done.

Muse Video is also teased; Wang claims it's competitive on "prompt adherence, visual fidelity, and temporal consistency." Predictably, when Muse Video launches with @ mention video generation, the controversy will only intensify. The boundaries of AI-generated content keep getting pushed forward by tech giants through product iteration — while users' right to choose and right to know always lag a step behind.

While enjoying the creative convenience AI image generation brings, don't forget to check that AI content reuse toggle in Instagram settings — your face is worth two minutes of your time to protect.

See you tomorrow.

"Meta又一次选择了move fast and break things——只不过这次break的是用户对自己肖像的控制权。"

—— 一位数字权利倡导者的评论

"Meta has once again chosen to move fast and break things — except this time what's broken is users' control over their own likenesses."

— A digital rights advocate's comment
Meta · Muse Image · Instagram · AI图像生成 · 肖像权 · AI隐私 · Alexandr Wang · Superintelligence Labs · opt-out争议 · AI设计工具
Meta · Muse Image · Instagram · AI image generation · likeness rights · AI privacy · Alexandr Wang · Superintelligence Labs · opt-out controversy · AI design tools
Sources · 信源 Sources

本文基于 Dawn Vision 认知引擎处理的 11 个源信号生成,素材来源:The Verge、TechCrunch、Meta AI Blog。

This article was generated from 11 source signals processed by the Dawn Vision cognitive engine. Sources: The Verge, TechCrunch, Meta AI Blog.