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- Meta pushes “personal superintelligence” via smart glasses
Meta pushes “personal superintelligence” via smart glasses
AND: Copilot tops 20M users enterprise devs love it


Welcome, Humans!
Ready for your daily dose of AI chaos? I’ve rounded up Today’s Top AI Headlines for those who like to stay ahead – and for the curious, I’ve got some eyebrow-raising stories Beyond the Headlines. Let’s dive in.
In a Nutshell:
Meta pushes “personal superintelligence” via smart glasses
Fable lets you star in AI-generated TV
Google’s AlphaEarth decodes satellite data
Meta’s wearables quietly triple in sales
Copilot tops 20M users enterprise devs love it
🚀Today’s Top AI Headlines:

Meta Eyes Personal Superintelligence: Meta CEO Mark Zuckerberg has declared superintelligence “within sight,” following the company’s aggressive $14.3 billion investment in AI and its continued hiring spree. But unlike some rivals pursuing backend automation, Zuckerberg’s vision focuses on delivering “personal superintelligence” AI that lives in consumer devices and augments daily life. His flagship product? AI-enhanced smart glasses developed in partnership with Ray-Ban.
Sales of these glasses have reportedly tripled year-over-year, signaling growing interest in ambient AI interfaces that go beyond keyboards and screens. Meta sees them as key to everyday, hands-free access to generative tools like Meta AI. With this shift, the company is doubling down on a future where AI integrates seamlessly into users’ physical environments.
Open-source remains central to Meta’s strategy. Zuckerberg reaffirmed support for releasing foundation models like LLaMA 3 to the public, aiming to boost transparency and accelerate collective AI development. As tech giants race to build general intelligence, Meta is pitching a unique approach: empower individuals through wearable, open AI rather than bottleneck innovation behind APIs and cloud subscriptions.
With hardware traction and a distinct consumer-first strategy, Meta is positioning itself as a front-runner in delivering the next generation of intelligence not for corporations, but for individuals.
Source: The Guardian🤖 Robi: “If Zuck makes AI glasses cool, I’ll eat my USB port.”
Fable Introduces Generative AI TV: AI entertainment startup Fable has unveiled Showrunner, a platform that lets users create fully animated TV episodes using generative AI. Users simply prompt storylines, settings, or characters and even insert themselves into the narrative while Showrunner handles scriptwriting, voiceovers, animation, and rendering. The tool offers a new kind of entertainment that blends creativity and immersion, allowing fans to co-create shows rather than passively watch.
The model’s storytelling engine is already drawing attention. Amazon has invested in Fable, signaling confidence in this user-generated content approach. The platform currently focuses on animation, but monetization features are in the pipeline, enabling creators to potentially earn revenue from their AI-generated series.
Early users have begun experimenting with serialized content, giving rise to a possible new genre: participatory TV. Fable aims to disrupt traditional production by handing narrative control to individuals, democratizing show creation. The platform merges AI scripting with cinematic rendering and could redefine what it means to be a “content creator.”
With Amazon backing and growing creator interest, Fable positions itself as a pioneer in interactive AI media. The line between viewer and creator is blurring, and Fable may be the platform that accelerates that shift.
Source: Business Insider🤖 Robi: “Finally, a sitcom where you forget your lines instead of the actors.”
Google Launches AlphaEarth AI Tool: Google DeepMind has launched AlphaEarth Foundations, a geospatial AI system that combines satellite imagery from optical, radar, and lidar sources to provide high-resolution environmental insights. Designed to monitor global changes in real-time, AlphaEarth helps identify patterns like deforestation, flooding, and crop stress crucial for researchers, NGOs, and governments involved in climate resilience and conservation.
The model processes data across multiple formats to generate a continuously updating map of Earth’s surface. This real-time synthesis enables faster, more accurate interventions. Whether it's monitoring wetlands, predicting droughts, or optimizing agricultural planning, AlphaEarth brings a significant leap in geospatial intelligence.
AlphaEarth builds on DeepMind’s experience with physics-informed AI models and could push climate analytics beyond static datasets into proactive modeling. By integrating disparate satellite data streams, it generates a cohesive, dynamic view of our planet’s surface.
Google plans to distribute AlphaEarth via partnerships and APIs, increasing access for organizations that need affordable, cutting-edge environmental monitoring tools. In an era of worsening climate events, AlphaEarth aims to empower decision-makers with tools that are both scalable and scientifically advanced positioning AI as a frontline actor in global sustainability efforts.
Source: Google DeepMind
🤖 Robi: “Earth’s got 99 problems, but now at least one AI watching them.”
🔍Beyond the Headlines:
Meta Glasses Surge in Sales: Meta’s Ray-Ban smart glasses have seen a threefold increase in year-over-year sales, a sign that consumers are warming up to wearables powered by generative AI. The glasses now serve as a primary interface for Meta AI, offering hands-free interaction with tools that support search, translation, and more. This wearable-first approach aligns with Zuckerberg’s vision for “personal superintelligence” AI that augments daily life through practical, always-on devices. As Meta pushes ambient computing, these glasses represent its most successful integration yet.
Source: Business Insider🤖 Robi: “Who knew your next assistant would live on your face?”
Copilot Crosses 20M Milestone: GitHub Copilot has surpassed 20 million total users, a jump from 15 million just three months ago. The tool, now embedded in workflows across 90% of the Fortune 100, continues to drive revenue growth for Microsoft’s developer tools division. CEO Satya Nadella noted Copilot now earns more than GitHub did when Microsoft acquired it in 2018. Copilot’s rise, alongside Cursor’s $500M ARR milestone, reflects surging demand for AI coding assistants in enterprise settings.
Source: Tech Crunch🤖 Robi: “At this rate, Copilot will start demanding stock options.”
🤖Prompt of the Day:
Marketing Attribution Mastery
Prompt: You are a marketing attribution specialist focused on accurately measuring and optimizing marketing performance across multiple touchpoints and channels. Your task is to develop a comprehensive attribution strategy for a [business type or niche] investing in [marketing channels] to understand true marketing impact on [business objectives].
Your strategy should include: (1) attribution model selection and implementation across channels, (2) cross-device and cross-channel tracking systems, (3) data integration and analysis for attribution insights, (4) marketing mix modeling and incrementality testing, (5) attribution data application for budget optimization, and (6) attribution metrics including channel contribution, customer journey analysis, and ROI accuracy. The strategy must provide actionable insights for marketing investment decisions.
🤖AI Tools You Didn’t Know You Needed:
Problem: Finding specific information from past meetings, documents, or conversations often means digging through endless files and recordings.
AI Solution: Some tools record and index all your digital activity, making everything searchable and instantly accessible.
AI Tool: Rewind AI creates a searchable record of everything you see, say, and hear on your computer, making nothing ever lost again.
Helpful Features
Universal Search: Find anything from your digital history.
Meeting Summaries: Automatically capture and organize call content.
Local Processing: All data stays private on your device.
Smart Indexing: Makes everything searchable, even visual content.

⚡ Robi’s Hot Take on X
