Meta Muse AI Is Scaring Me… It Knows WAY Too Much
Publicado no IA Dots ·
Agentes de IAAI Signalidioma-enInglêsMuseyt-O5sgKwzpis8
Vídeo em Inglês, publicado pelo canal CREATIVES SUMAN.
Video transcript
Transcript from available captions; it may contain errors.
Meta just launched Muse and honestly this feels different from the AI assistants we've been using. It doesn't just answer a question and disappear. It can remember things about you, connect to your apps, take actions, and even come back with suggestions on its own. And that last part is what made me stop. At first Muse seems pretty normal. You open it, you talk to it like you would talk to any other AI assistant, and you tell it what you need. But then you realize something important. Meta designed Muse to actually build context about you over time. It can learn from your conversations, remember what matters to you, and use that information later when it's trying to help. And that sounds convenient. Until you start thinking about what that actually means. Imagine you mention once that you're planning a trip. You don't create a project, you don't save a note, you just casually tell Muse, "I might go to New York next month." Later that information can become part of the context Muse uses when helping you. According to Meta, Muse can remember things you uh you've mentioned and use them to make suggestions without you having to repeat everything. That is a huge difference from the old chatbot experience. A normal chatbot waits for you to ask something. Muse is being built more like an assistant that understands the bigger picture. And then Meta takes this even further. Muse can connect connect to apps you already use including things like email, calendars, Instagram, and other services. It can browse the web through its own dedicated browser and actually work through tasks on your behalf. Meta says Muse can handle things like booking appointments, filling out forms, customer service tasks, creating documents, generating images, and researching topics. So imagine you're running a small business. Instead of asking, "How do I organize my week?" you could potentially give Muse a much bigger objective. It can break that objective into tasks, work through connected services, and keep track of what it has already done. That's where I started looking at Muse differently because this isn't really about having a smarter chatbot. It's about giving an AI a certain amount of access to your digital life. And that is both incredibly useful and a little uncomfortable. Meta knows this is the obvious concern, which is why the company built Muse around something called Muse secure VM. That basically Muse gets its own dedicated virtual computer computer and browser where the agent and your connected data live. Meta says a separate security system called Sentinel controls what Muse is allowed to send to the internet. Muse also isn't supposed to simply send an email or make a purchase whenever it feels like it. Meta says it asks for permission before sensitive actions, provides an audit trail of what it has done and plans to do, and lets you control which apps it can access. That part matters because the scary version of personal AI is an assistant that knows everything and can do anything without asking. The version Meta is describing is supposed to be different. An AI that can know more about you, but still operates within permissions you control. And there's another detail I found really interesting. Muse isn't just supposed to react to your instructions. Meta says it can proactively suggest ideas based on what it has learned. So, instead of you constantly thinking about what to ask your AI, the AI can potentially notice a pattern and bring something useful to you. That changes a relationship completely. Think about a creator. Maybe you regularly make videos about AI tools. Muse understands that. You'll connect your calendar and other relevant apps. You start researching a topic. Later, it could potentially help organize that work around what it already knows about your goals. For a freelancer, it could help manage projects. For a business owner, it could handle repetitive administrative For a busy professional, it could keep track of things you simply don't have time to remember. And that's the promise, but here's where I think everyone needs to slow down. The more useful a personal AI becomes, the more important the privacy question becomes. Because there's a massive difference between an AI that knows what you typed into one conversation and an AI that can build a longer-term understanding of your goals, preferences, connected apps, and activities. Meta says users can choose which apps Muse connects to, control the permissions, disconnect services, and even tell Muse to forget specific things it has learned. The company also says conversations and data in the Muse virtual machine aren't shared with Meta's ad systems. So, I wouldn't describe Muse as simply scary. I'd describe it as a preview of where personal AI is going. The chatbot era was about asking AI questions. The agent era is about giving AI context, access, and responsibility. And Muse is one of the clearest examples of that shift I've seen. Even more interesting, Meta is bringing Muse into its wider ecosystem. It's rolling out in the US on iOS, Android, and the Muse website, with plans to bring it to more experiences, including AI glasses. And remember, Meta already has Muse image, its image generation model that can understand complex prompts, combine multiple visual references, edit images, you know, directly, and even use tools like search and coding to improve generations. Put all of that together and you start seeing the bigger picture. Meta isn't just building another chatbot, it's building an AI that can understand you, remember you, work for you, create for you, and potentially stay involved in your daily workflow. That's incredibly powerful. But the question I keep coming back to is simple. How much of your life are you actually comfortable giving an AI access to? Because the better Muse gets at knowing you, the more useful it becomes. And at the same time, the more important it becomes to understand exactly what it knows, what it can access, and what it is allowed to do. That's the part that makes me excited about Muse, and honestly, a little nervous, too. Would you trust an AI like Muse with access to your apps and personal information? Comment below.
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Assuntos: Agentes de IA, Muse. Publicado no YouTube em 2026-09-13.
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About Muse Spark, payments and permission settings
Muse was announced by Meta on September 8, 2026, and runs on Muse Spark, which Meta calls its most capable model to date, built for real-world agentic work. Meta designed it to be used like messaging another person, either in the Muse app or directly in WhatsApp. For tasks that take longer, Muse keeps working after the app is closed and comes back when something changes or when it needs approval.
For payments, Muse can check out with Link by Stripe, and Meta says it is the first AI agent covered by Link's purchase protections: free coverage for damaged or lost items, price drops, no-fee returns and a return guarantee on eligible purchases. Link's agent wallet generates a one-time-use card so the real card details stay hidden; Shop Pay and 1Password support were announced as coming soon. When Muse asks for permission, the choices are allow once, always allow or deny, and defaults can be managed for each connection. Users can also opt out of their interactions being used to train Meta's AI models. In the launch announcement, Meta said that later in 2026 it would introduce Muse Confidential VM, in which the whole virtual machine, including data and conversations, is encrypted with a key only the user holds, so not even Meta can access it.
Fact sheet
- Agent: Muse (Meta)
- Announced: September 8, 2026
- Model: Muse Spark
- Messaging: Muse app or WhatsApp
- Payments: Link by Stripe with a one-time-use card
- Purchase protections: Damaged or lost items, price drops, no-fee returns and return guarantee
- Permission choices: Allow once, always allow or deny
- Announced for later in 2026: Muse Confidential VM, encrypted with a key only the user holds
Read also
- How to Use Muse AI BETTER than 99% of Authors
- Muse AI + KartStudio — A Powerful NEW MCP Integration Explained!
- Meta (META) Q3 2026 Earnings Breakdown: Muse AI Agent, $64.6B Revenue Beat & Class C Stock Split
Sources and references: Meta Newsroom – Introducing Muse · Meta AI – Muse · video by the CREATIVES SUMAN channel on YouTube.