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AI NewsMeta made a Tamagotchi-like wearable for its Muse AI agent

Meta made a Tamagotchi-like wearable for its Muse AI agent

6:37 AM IST · September 24, 2026

Meta made a Tamagotchi-like wearable for its Muse AI agent

The AI amulet has become a bit of a clichĂ© in the tech industry — devices like Friend have turned the idea of physical AI into little more than an exercise in eye-rolling for many consumers. But that hasn’t stopped Meta from jumping into the arena with its own AI wearable, called Muse Charm, which is designed to give consumers another way to stay connected to its recently launched, and already popular, personal AI agent, Muse. The device, which CEO Mark Zuckerberg revealed in a “one more thing” moment during the company’s annual Connect event, isn’t ready to ship just yet. Zuckerberg said his team had to “finalize laying out the components” and promised the devices would be “ready to ship in time for the holidays in December.” The Muse agent, which is now embodied by a cute digital avatar known within the company as Jolly, lives inside the palm-sized totem that users can carry in their pockets or attach to a keychain. The device comes with a tiny screen that displays the avatar representing the agent. Users can talk to the device, which can then presumably carry out tasks on their behalf. “We packed the whole Muse experience, including the whole real-time voice and avatar stack, into something that fits on a keychain and is always available to talk to,” Zuckerberg said during Wednesday’s keynote. “You just go ahead and tap here in the fingerprint sensor in the corner, and you can start talking without having to unlock a phone or open an app.” Zuckerberg added: “So if you’re not wearing glasses, this is going to be by far the fastest way to talk to your Muse and to show what’s going on around you.” Appropriate for what it offers, the gadget has a quasi-Tamagotchi feel to it — a lightweight, personality-filled device designed to keep users always connected to Meta’s software. It also feels like a relatviely low-stakes way for the social media giant to experiment with AI wearables while also offering yet another way to distribute its AI agent to the masses.

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Meta is expanding its AI agent Muse to small businesses

Meta is expanding its AI agent Muse to small businesses

Metaannouncedon Tuesday that it’s expanding its AI agent Muse to small businesses and adding new integrations, including Shopify, Dropbox, Slack, and more. The tech giant says the agent can help owners run their business and find new customers. By plugging Muse into the software that small business owners are already using to manage sales, operations, and marketing, Meta is betting that an AI agent with context of a company’s whole operation will be more useful than a stand-alone chatbot, as it continues to compete against rivals like OpenAI and Google. Muse can also link to Instagram professional account analytics, Facebook pages, and Meta ad accounts. Meta says the AI agent also knows what a business sells, how a brand sounds, and what customers ask about most. Additional integrations include Asana, Box, Canva, Figma, Granola, HighLevel, Intuit QuickBooks, Klaviyo, Lovable, Notion, Stripe, and Zoom. Muse for Small Business is available for free with usage limits. Businesses that want more usage can purchase a subscription plan. “Small businesses have been growing on our apps for nearly two decades,” Meta wrote in their blog post. “They told us they’re short on hours, not ideas. So we built Muse for Small Business to help get work done with the tools they already use.” Meta has been focused on expanding its AI tools beyond the consumer and into the enterprise market. The launch of Muse for Small Business comes a day afterMeta introduced“Meta Enterprise Platform,” a new initiative aimed at expanding the company’s AI offerings to businesses and corporate customers. The move could help Meta see a return on all the money it’s pouring into AI. The tech giant hired Chirantan “CJ” Desai, the CEO of database software giant MongoDB, to lead the new initiative. Meta says it will focus on bringing its full technology stack, including Muse, Meta Business Agent, Muse API, Muse Code, and more, to businesses and developers. The rollout of Meta Enterprise Platform is built on the momentum of Muse, which launched earlier this month andtopped the app charts in the U.S. and Canadaahead of ChatGPT.

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With Dazzle, Marissa Mayer bets your camera roll has more info on your life than your inbox

With Dazzle, Marissa Mayer bets your camera roll has more info on your life than your inbox

When former Yahoo CEO Marissa Mayer told me earlier this month that she was finally ready to unveil Dazzle, the personal AI assistant thatraised an $8 million seed round last December, I couldn’t help but wonder if she’s playing copycat to Meta’s Muse, Instinct, and the wave of similar tools that have flooded the market over the past month. But when Mayer finally gave me a demo, Dazzle proved it’s taking a different approach. Instead of building context about you from text-heavy apps like email, calendars, and shopping histories, Dazzle’s AI assistant gets all its context from a single source: your camera roll. “I think that photos are an underappreciated source of information,” Mayer said. “You’ll be surprised what we can learn about you and how good a job we can do with your photos.” Mayer argues that if a photo is worth a thousand words, your camera roll is worth millions. By analyzing all the photos stored on your phone, Dazzle claims to understand your hobbies, interests, food, and style preferences, how you like to spend their time, and with whom. “We understand whether or not you like to ski, where your most recent trip was, what types of things your kids are into,” Mayer said. It’s no surprise that Mayer has built an assistant centered around photos. Her previous startup, Sunshine, launched an AI-powered photo-sharing tool calledShinein 2024. While that product was widely criticized for its outdated design, failed to attract widespread usage, and eventuallyshut down, Mayer says it nevertheless built “interesting IP.” I was eager to try Dazzle, which users can interact with through its app or via text. Dazzle splits its functionality into two core experiences. For immediate tasks, it can scan recent photos to pull details — like populating your calendar from an event flyer, or finding a repair person after spotting a broken garage door in your camera roll. Second, it mines your photo library to come up with personalized ideas for everything from holiday vacations to birthday gifts. Given that plenty of tools can parse pictures — like looking up where to buy a product, or searching information on an interesting art piece — I was far more curious to test what Dazzle could learn from my photo history. For instance, Mayer uses Dazzle to brainstorm family outings. By scanning her photos, she says, the assistant deduced that her family loves escape rooms, and subsequently suggested multiple San Francisco Bay Area locations she’d never heard of. When I tested Dazzle with a request for vacation recommendations, it suggested several Mediterranean spots, likely picking up on my past trips to Spain and Greece. But it also threw in Sicily, which surprised me since I was there four years ago. After some more tinkering, I noticed it has blind spots — it failed to remember my daughter already knows how to roller-skate when I asked if I should buy her a pair for her next birthday. Despite the hiccups, though, I appreciated Dazzle’s ideas for activities, like suggesting a local pottery studio, or a bioluminescent kayak tour in Tomales Bay. I’m sure the product will improve with time, and while I’m undecided on whether I’ll keep using it, I like that its suggestions feel more personal than what you’d get from an AI assistant that only knows your calendar and email. In the meantime, Mayer contends that given security concerns with products like Instinct and Muse, users may feel more comfortable handing over their photo libraries to an AI instead of granting it access to sensitive data like emails and messages. She emphasized that Dazzle prioritizes privacy, and discards any personal information the AI flags as sensitive. This flurry of new AI assistants is an exciting time for consumers. And while Dazzle isn’t as broadly useful as other offerings quite yet, it offers a glimpse of a future in which AI can do more than just execute tasks; it actually knows who you are.

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Instinct founder said more than 50% of transactions on the platform are travel-related

Instinct founder said more than 50% of transactions on the platform are travel-related

Almost every AI tool’s demo shows a user sparring with the assistant to book travel, as it seems to be the most frequent use case. The viral Instinct agent is no different, as it sees more than 50% of transactions on the platform for travel, the company’s founder, Noah Shinn, said ina recent podcast. In an interview with investor Patrick O’Shaughnessy, Shinn also mentioned that the invite-only platform is approaching a billion dollars in annual transactions. He didn’t specify what the calculation behind this rate is, though. “People who are not on Instinct use travel agencies (or sites) to book hotels or flights. What’s the benefit of that interface? They properly unify different hotel chains, airlines, and services, and present them in a nice way for users, who have the option to check out immediately,” Shinn said. “I think there is a better experience with Instinct or other interfaces where users can say, ‘Hey, I need to be in New York tonight; it’s urgent.’” He mentioned that the platform is growing 10% day by day, with transaction volume increasing at a similar rate. The company’s founder was alsodraggedfor some of his comments on the show. He said that most restaurants have a first-come-first-served reservation system, which doesn’t account for someone’s special occasion. He said that an agent can check restaurant sites every five seconds and inform the user about available slots. Shinn also hinted that the company wants to reinvent reservations and give users preferential treatment. “If you take restaurant reservations from scratch, from the user’s end, they want the reservation for a significant life event that they might have. And on the restaurant end, they just want interesting people. They want special occasions. They want to cater to those rather than, maybe, the local [person] who keeps, you know, taking up a table once a night [sic], and there’s no sort of special event there,” Shinn said. Some observerspointedoutthat agents can lie about anniversaries and special occasions just to book a table at a restaurant. They alsosaidthat some restaurants prefer local patrons as they are regulars and bring more business to the outlet. Instinct recently raised$1 billion in Series C funding Monday at a $10 billion valuationfrom Sequoia Capital, Benchmark Capital, and Coatue. The 14-member startup is competing with Meta’s Muse andKhosla-backed Wajoin the personal agent space.

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Can a chatbot fix the government maze? The White House is about to find out

Can a chatbot fix the government maze? The White House is about to find out

President Donald Trump announced on Tuesday that the White House is launchingAmerica.gov, an AI chatbot intended to help people find government services and other information. Googleconfirmedthat it is a partner on this launch and that its AI model, Gemini, is involved, but it’s unclear if other AI companies also contributed. “Instead of forcing citizens to search through the endless maze of tens of thousands of government websites and rules
 you’ll now have one front door for every single question,” Trumpsaidin a post on X. Making government services easier to navigate is a worthwhile goal, but is an AI chatbot the best way to do this? Large language models are not infallible and remain prone to hallucinations. In fact, CNNrecently reportedthat the U.S. military nearly launched an armed operation against a Chinese vessel it believed was carrying components for nuclear weapons. The military aborted the mission at the last minute after realizing that the supposed threat was just an AI hallucination. If someone receives faulty information from America.gov, it probably won’t trigger nuclear warfare, but a mistake can still have serious consequences. People might rely on this chatbot to access information about applying for food stamps, renewing their visas, or filing taxes, where errors could mean missed deadlines, denied benefits, or penalties.

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