🕶️ Meta’s AR glasses hit the streets

Also: Google brings Gemini to Chrome

Author

Evolving AI
September 19, 2025

In partnership with

Welcome, AI enthusiasts

Happy Friday, everyone! The weekend might soon come with a new way to see the world, literally. Meta just revealed its latest AI-powered Ray-Ban glasses, complete with a built-in display for live captions, translations, directions, and more. Let’s dive in!

In today’s insights:

  • Meta’s AR glasses hit the streets

  • Google brings Gemini to Chrome

  • Nvidia and Intel team up on AI chips and PCs

Read time: 4 minutes

LATEST DEVELOPMENTS

Evolving AI: Meta brings AR screens to Ray-Ban smart glasses for live info and translations.

Key Points:

  • Meta debuts Ray-Ban Display glasses with an in-lens AR screen showing text, images and live calls.

  • Glasses pair with a Neural Band bracelet for pinch and swipe hand controls and six-hour battery life.

  • Sporty Oakley Meta Vanguard offers camera and AI features for workouts, linking with Garmin devices.

Details:

Meta introduced three new AI glasses, led by the Ray-Ban Display with a heads-up AR screen inside the lens for live captions, translations, directions and more. A Neural Band bracelet reads hand gestures for controls. A sport-focused Oakley Meta Vanguard captures workout data and auto-creates highlight clips. Prices start at $799 in the US this month.

Why It Matters:

Phone‑glance tasks jump to your eyeline: captions for meetings, translations on trips, directions at a junction, timers and texts without pulling out a device. The EMG wristband answers the awkward input problem by turning tiny finger moves into clicks and swipes, which makes hands‑busy jobs and commuting workable. Athletes get Garmin‑linked stats and auto highlight reels, creators get first person clips, and people with hearing loss get live subtitles. The real test is social norms and battery; are streets and offices ready for face‑worn screens?

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Source: Jaque Silva / Nurphoto / Getty Images

Evolving AI: Google rolls out Gemini inside Chrome to bring AI help straight into browsing.

Key Points:

  • Gemini now works in Chrome on Mac, Windows, and mobile with no extra sign-ups.

  • Users can ask Gemini to summarize pages, work across tabs, or schedule tasks.

  • New agentic tools will soon handle bookings and online shopping.

Details:

Google is adding Gemini to every Chrome browser, letting people query a page, find videos, or set up meetings without switching tabs. The AI links directly with Calendar, Maps, and YouTube. Google plans to extend these features to Workspace accounts and will add agent-like services that can handle chores like booking a haircut or ordering groceries.

Why It Matters:

Chrome is turning into more than a browser. With Gemini doing things like setting meetings, finding videos and even booking groceries, everyday clicks can now turn into finished tasks without leaving a tab. That means less friction for busy users and a new fight for attention, as Chrome itself starts to compete with apps and websites for those quick actions.

Evolving AI: Nvidia invests $5B in Intel to co-develop AI-ready chips for data centers and PCs.

Key Points:

  • Nvidia and Intel will build custom x86 CPUs and PC chips combining Nvidia RTX GPU chiplets with Intel CPUs.

  • Nvidia will invest $5 billion in Intel shares at $23.28 each.

  • The partnership targets data centers, enterprises and consumer PCs with multi-generation AI products.

Details:

Nvidia and Intel plan to jointly design and manufacture CPUs and system-on-chips that link Nvidia’s AI architecture with Intel’s x86 platform using NVLink. Intel will build custom x86 CPUs for Nvidia’s AI infrastructure and create PC chips that pair Intel CPUs with Nvidia RTX GPU chiplets. Nvidia is backing the alliance with a $5 billion equity investment.

Why It Matters:

This deal means AI-heavy workloads like training large models or running local generative apps can run faster on servers and on everyday PCs without relying only on cloud GPUs. PC makers could ship laptops that edit 8K video or run AI coding assistants natively, while data centers gain new server options beyond the usual Nvidia GPU racks.

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