Subvolts take Explore how multimodal AI powers Ray-Ban Meta glasses and shapes wearable tech's future. Feb 28, 2025
For you
Developers
Learn about foundational models and challenges in building multimodal AI for consumer hardware like smart glasses.
Business
Understand how AI is enhancing user experiences in wearable technology and Meta's approach to innovation in this space.
Everyday users
Discover how AI is making devices like Ray-Ban Meta glasses smarter and more capable for everyday use.
Hype note
3/5Notable

This episode offers a solid interview with a Meta researcher on applied AI in consumer hardware, detailing current advancements.

Meta Tech Podcast · Ep 72 Episode Official · Meta

72: Multimodal AI for Ray-Ban Meta glasses

40 min Interview Hosts: Pascal Harris
0:0039:34

Audio streams from Meta. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

Meta Tech Podcast host Pascal Harris interviews Shane, a Meta research scientist, about multimodal AI for Ray-Ban Meta glasses. Shane, who works in Wearables AI, discusses pioneering foundational models and tackling unique challenges. The episode explores how this AI transforms user experiences and offers a glimpse into the future of wearable technology, appealing to engineers and tech enthusiasts.

Explained simply

This podcast episode talks about how smart glasses, like Ray-Ban Meta, use AI that understands both what you see and hear. This helps the glasses do more helpful things for you, making them smarter and more useful in daily life.

Why listen

This episode delves into the practical application of multimodal AI in consumer hardware, specifically Ray-Ban Meta glasses. Shane's insights into foundational models and unique challenges offer a look at Meta's current research direction in wearables. It's for engineers and enthusiasts interested in how AI integrates into everyday devices. This work aligns with the broader industry trend of developing more capable, context-aware AI systems that can process and understand multiple types of data simultaneously, moving beyond text-based interactions.

On the mic
  • HostPascal Harris
  • GuestShaneresearch scientist, Meta
About
Key facts
  • Show: Meta Tech Podcast
  • Host: Pascal Harris
  • Guest: Shane, research scientist at Meta
  • Topic: Multimodal AI for Ray-Ban Meta glasses
  • Length: 40 minutes
Show notes from Meta

In this episode of the Meta Tech Podcast, host Pascal sits down with Shane, a research scientist at Meta, to explore the cutting-edge research behind Ray-Ban Meta glasses. Shane shares insights from his seven-year journey at Meta, where he focuses on computer vision and multimodal AI within the Wearables AI organization.

Tune in to learn how Shane's team is pioneering foundational models for Ray-Ban Meta glasses, tackling unique challenges, and pushing the boundaries of AI-driven innovation. Discover how multimodal AI is transforming user experiences and get a glimpse into the future of wearable technology. Whether you're an engineer, a tech enthusiast, or simply curious about the latest advancements, there is something for everyone in this episode.

Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host Pascal (https://mastodon.social/@passy, https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.

Links

Timestamps

  • Intro 0:06

  • OSS News 0:56

  • Introduction Shane 1:30

  • The role of research scientist over time 3:03

  • What's Multimodal AI? 5:45

  • Applying Multimodal AI in Meta's products 7:21

  • Acoustic modalities beyond speech 9:17

  • AnyMAL 12:23

  • Encoder zoos 13:53

  • 0-shot performance 16:25

  • Iterating on models 17:28

  • LLM parameter size 19:29

  • How do we process a request from the glasses? 21:53

  • Processing moving images 23:44

  • Scaling to billions of users 26:01

  • Where lies the optimisation potential? 28:12

  • Incorporating feedback 29:08

  • Open-source influence 31:30

  • Be My Eyes Programme 33:57

  • Working with industry experts at Meta 36:18

  • Outro 38:55

Jargon decoded
multimodal AI
Shane
AI that can understand and process different types of information, like text, images, and sound, all at once.
foundational models
Shane
Large, general-purpose AI models that can be adapted for many specific tasks.
Published
Show
Meta Tech Podcast · Meta
Length
40 min
Companies
Meta
Products
Ray-Ban Meta glasses
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Questions people ask

What is the episode about?
The episode explores the research behind multimodal AI for Ray-Ban Meta glasses, focusing on foundational models and user experience transformations.
Who is interviewed?
Host Pascal Harris interviews Shane, a research scientist at Meta focusing on computer vision and multimodal AI within the Wearables AI organization.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Meta.