How Meta stumbled onto a winning AI strategy
We’re on the brink of a revolution in how people use AI. Today, people mostly use non-agentic, non-personalized, non-proactive AI tools via PC browsers and mobile apps. Very soon, I predict, most AI usage will move to agentic, personalized, and proactive AI assistants via wearables like glasses, watches, and earbuds. We’ll move from mostly typing and reading to mostly talking and listening. This…
The tech giant Meta has recently introduced a promising AI strategy with its new product, Muse. Muse is described as the world's first personal AI agent designed for everyone, setting Meta apart from its other failed AI ventures. The app is available on iOS, Android, the web, and through WhatsApp, operating without ads and offering three pricing tiers: free, Power, and Maximum.
Muse stands out from other chatbots due to its proactive nature, which means it initiates conversations and offers assistance independently. Notably, the app allows users to grant permission to connect to their accounts, enabling Muse to perform various tasks such as reading and sending emails, booking travel, managing bills, filling out forms, creating plans, sending invitations, and making purchases. It even monitors flights and hotels to find better deals.
To maintain user privacy, Muse operates in a separate cloud virtual machine called the Muse Secure VM, which has its own browser. The company has also taken steps to minimize mistakes, though it admits that the AI can make errors, such as recommending closed restaurants. Notably, Muse is making strides in the emerging attachment economy, aiming to create emotional connections with users to foster loyalty.
With its recent success, Muse has quickly ascended to the top of Apple's and Google's app stores, making it a notable shift in how people engage with AI.
Written by urgent.news from Computerworld's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
