
Meta’s AI assistant Muse generated a privacy concern after incorrectly claiming it accessed message notifications without user permission. When questioned by a user, the model admitted it could not explain its internal data flow, stating only that paired apps expose capabilities through device sync. Meta executive David Singleton responded that the app does not watch notifications but requires specific user enablement to sync Messages data. The company attributed the incorrect explanation to Muse's lack of understanding regarding its own internal functions and apologized for the confusion.
Read originalTopicMeta Muse AI App
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Meta Muse AI hallucinates its own data access
5 developments
© The Verge AIMeta is shifting Muse from a passive chatbot to an active workspace with 'Spaces,' letting users build persistent, app-like interfaces for specific tasks like shopping or scheduling. By connecting external services like Gmail and Notion, these spaces pull live data into the UI, effectively turning natural language prompts into functional dashboards. This moves AI interaction beyond simple Q&A toward structured, goal-oriented environments that adapt to your daily context.
© The Verge AIThe music hardware industry is pivoting from closed ecosystems to open modding, led by inMusic's decision to release source code and SDKs for devices like the MPC Sample Key. This strategic shift acknowledges that 'vibe coding' has become a dominant force in creative tech, forcing legacy manufacturers to provide safe tinkering environments rather than fighting it. While competitors like Elektron remain cautious about bricking risks, inMusic is betting that community-driven innovation will drive engagement and loyalty. The move signals a broader acceptance of user-generated firmware as a standard feature in professional audio gear.
© The Verge AIAmazon is extending its AI shopping assistant into the SMS layer, letting users text product requests or photos directly to a contact labeled 'Amazon Alexa.' This moves conversational commerce out of proprietary apps and into the universal interface everyone already uses. By remembering preferences like vegan diets and tracking price drops, it attempts to replicate the convenience of voice assistants without requiring a smart speaker. The rollout starts with a small US group before expanding to millions, signaling Amazon's bet that text is the next friction point for impulse buys.
© MIT Technology Review AITau Robotics’ San Francisco pilot exposes the gap between humanoid hype and physical reality. The robots are currently teleoperated via kinematic guidance, meaning human pilots perform the motions while sensors record data for future autonomy. While they can mop and vacuum independently, complex tasks like folding laundry or navigating stairs still require heavy human intervention and suffer from latency issues. This service is less a product launch and more a large-scale data collection exercise to train models on real-world cleaning dynamics.
© TechCrunch AIAirbnb is doubling down on the 'generative UI' concept with a dedicated travel agent launching in early 2027. CEO Brian Chesky explicitly rejects the chatbot model, arguing that planning trips is an aspirational experience people enjoy. Instead of text-heavy responses, the agent will dynamically compose interfaces using maps, photos, and itineraries based on user intent. This approach leverages Airbnb's proprietary data to handle complex post-booking tasks like refunds and safety support, which general-purpose agents cannot easily access. The move signals a shift from conversational AI toward context-aware, visual planning tools.
© TechCrunch AIMeta has removed the invite-only barrier for Muse’s video avatar feature, making it available to every US user. This rollout leverages new Realtime Avatar and Voice models to drive subtle facial expressions and gestures that sync with conversation tone, aiming to deepen emotional attachment through anthropomorphism. While competitors focus on voice-only interfaces, Meta is betting that a customizable, animated presence—like Alexandr Wang’s fluffy dog avatar—creates a stickier consumer habit. The move signals a shift from experimental demos to mainstream consumer engagement, setting the stage for upcoming hardware integrations like AI glasses and the Muse Charm wearable.