---
title: 'Google Gemini''s Biggest Update Yet: AI Agents, Omni AI, and Smart Glasses'
source: 'https://youtube.com/watch?v=GiqyqBKmAfA'
video_id: 'GiqyqBKmAfA'
date: 2026-08-12
duration_sec: 500
---

# Google Gemini's Biggest Update Yet: AI Agents, Omni AI, and Smart Glasses

> Source: [Google Gemini's Biggest Update Yet: AI Agents, Omni AI, and Smart Glasses](https://youtube.com/watch?v=GiqyqBKmAfA)

## Summary

Google has released a major update to the Gemini app, introducing a new design, autonomous agents, and advanced multimodal capabilities. The update includes Spark, a feature that can execute multi-step tasks, and the Omni model, which processes text, images, and video together. The video also explores the future of AI with wearables like smart glasses.

### Key Points

- **UI Redesign** [00:28] — The Gemini app has a complete UI overhaul with a new design language called 'neural expressive', featuring a modern look, new icons, and fonts.
- **Spark: Autonomous Agents** [01:38] — Spark is a new feature that brings autonomous agents to the consumer app, allowing it to spin off sub-agents to accomplish larger goals.
- **Scheduled Actions** [03:26] — Spark can handle open-ended tasks and supports scheduled actions called 'heartbeats' for recurring tasks like daily briefings.
- **Omni Model** [04:26] — The Omni model combines text, image, and video inputs, enabling 'anything to anything' generation, such as merging a video with a photo style.
- **Desktop Voice Features** [05:20] — The desktop app uses voice with real-time filtering to remove filler words like 'um' and 'uh', and can access context from files and screen.
- **Future Wearables** [06:37] — The future vision includes wearables like smart glasses with bone-conducting audio, allowing hands-free, context-aware assistance.

## Transcript

Google just dropped a massive wave of AI updates  for the Gemini app, completely overhauling the   interface and introducing actual autonomous  agents that can run tasks in the background.   I sat down for an exclusive interview with Jeff  Huang, the head of engineering for the Gemini app,  
to find out exactly how these new features work,  from anything to anything multimodal models,   to desktop voice hacks that clean up your speech  in real time. Let's go inside the engineering team  
to see what's new. I started by asking Jeff about  the massive visual change you see the second you   launch the Gemini app, which is powered by a new  design language Google calls neural expressive.  
Here's what he had to say about why they  completely rebuilt the UI from the ground up.   First, there's a huge redesign of that. As soon  as you launch the app, you'll see it. It's more   modern. We have a sort of a new design language  that came out with it. On iOS, it's liquid glass.  
And it's just, I think, a lot cleaner. We were  really aiming to sort of modernize and clean up a   lot of the UI. So, we redesigned what we call the  zero state, like the first screen that you see,   the side nav that kind of comes out when  you tap the three lines, that's all redone,  
brand new set of icons, new fonts across the  board. And then as you get a response back,   you type in something to Gemini and it gets  you, it gives you a response. The response fades   all redesigned. So that was just kind of top to  bottom. The UI is very different. The reception's  
been pretty good. But the absolute biggest  announcement from the engineering team is a   brand-new feature called Spark. This fundamentally  shifts Gemini from a simple chat bot into a true  
autonomous assistant that can execute multi-step  workflows for you. Here's how Jeff explained it to   me. The big one that you know is leading in in  Sundar's announcement is called Spark. And so,   this is really bringing agents into our consumer  AI app. Yeah, it's super exciting. So, I've been  
playing with it. If you think about how, you know,  eventually you will want something that like kind   of can act and be like a true assistant. It's  something that should be able to like do work and   like kind of spin off multiple tasks to accomplish  like a bigger goal versus right now, you know,  
most of these chat apps, you kind of give it  one thing and it gives you like a response.   So, you can kind of give it some like pretty big  open-ended hard tasks and it'll know to spin off   little sub agents to go accomplish that and then  kind of come back. If you were to talk to someone  
who has no experience with agents and because I  feel like you know you hear of agents and I think   some people are a little apprehensive to test it  out. What would you say is that first scenario   that someone could try where they see value from  using an agent? Just tell me what I need to know  
to prepare for the day. And actually, we built  this as a product that I can talk about too called   Daily Brief but Spark can do that as well. And so  basically if you kind of think about what you need   to do, you know, let's say tomorrow you might wake  up and kind of look at your calendar, see what you  
have going on, kind of think about what you need  to prepare for, like do I need to go, look up   Kevin's YouTube channel, same for your email, like  what is it that's sort of lingering on your to-do   list, do I have bills I have to pay and things  like that where it can go and do all that, it can  
kind of spin up these like agents or I don't know,  you can call them like little minions to like kind   of go in like do work for you. And then once it  does that, you can ask it to do that repeatedly.   So that's the other part of Spark is you can  have, well we call them heartbeats internally,  
but they can they can repeat so they can be  sort of these scheduled actions. When I hear of   repeating things or setting up automations, that  sounds complicated. Yeah. But I take it it's not   morning and that's as far as it goes. Yeah. Okay,  as soon as you've done something, or even before  
you've done it, it's exactly that it's every day  do this, you know, at 8am. So, it almost feels   like with Spark, it's almost bringing kind of  these agent capabilities to the masses. Exactly.   Next, we shifted gears to the brand-new underlying  engine driving the app's advanced multimodal  
capabilities, the Omni model. I asked Jeff how  this completely changes the way Gemini processes   different types of media at the same time. So, we  call that the Omni model and that one super cool.  
It's kind of combining a few of the different  capabilities that we had in the app. So, we had   Nano Banana, which was image generation, we had  Veo, which was video generation. And for those,   it was always text to images or text to video.  And you could feed it like an image; you could  
do image to image. And now we're basically going  from Omni, you know, anything to anything. So,   it's actually very cool. I've been playing with it  a bunch, but you can feed it like a video and like   a couple images and then also give it a prompt at  the same time. And then it'll output and combine  
like all of those things together into a really  cool output. So yeah, it's very powerful. It kind   of combines a few different tools that we had.  So, like as an example, you could take say a   video of yourself and then maybe have a photo  with a certain style, and then it'll merge the  
two of those. Exactly. Okay. From there, Jeff  surprised me with one more major announcement,   this time specifically built for the desktop  experience. It's a feature designed to completely  
change how you talk to your computer by using  background context and real time speech filtering.   It's using the desktop app and using speech to  basically do some pretty complex things. So,  
one of the benefits of having the desktop app is  it has context from your files on your hard drive,   what's on your screen, and then voice is really  cool because more and more that's a like very  
understandable and the models are like it's a  very understandable communication method. And   the models are getting so good where you can kind  of hold down this thing and just speak naturally.   And it knows what to filter out in terms of  like, you know, I say "um"s and "uh"s a lot,  
or you might make a mistake and be like, "Oh, I  actually scratch that." And it's good about kind   of knowing and understanding how to filter that  and output like a clean sort of stream of text.   Once you have that coupled with you kind of using  the voice now to orchestrate or kind of command  
and do things on the on the Mac, which is  very cool. To wrap up our conversation,   I wanted to look further down the road. I  asked Jeff about the ultimate North Star for   the Gemini app and how tomorrow's hardware will  completely change the way assistants interact  
with the physical world around us. As you see  the Gemini app continue to evolve and develop,   what is your North Star for the experience in  the app? Yeah, kind of depends like how far into   the future. Eventually, we will have wearables,  which can be the kind of the primary interface.  
You saw some demos actually with the glasses,  which I find actually that's a very natural   like interface where it has the audio, you know,  sort of bone conducting audio. So, you don't have  
to pull out your phone. You don't have to type to  it. Like you said, like speech is just so natural.   And then also like you can take photos and videos  of the context. So, it's actually like super cool.  
and I'll turn it on and be like, "Hey, do I  need to like fertilize this? Like what plant   is this and what kind of fertilizer do I need?"  Versus like going and like Googling, you know,  
searching and trying to like figure out exactly  what fertilizer. So it's kind of nice to have that   like kind of in context. That actually I think  resolves one of my big pain points because I feel  
oftentimes like if I'm gardening or something,  I take out my phone, you take the screenshot,   and then you add it to the chat. Then you ask your  question. It's like all these, you know, steps   that it's a lot of work. Yeah. And so just having  glasses that are seeing what you're seeing and can  
answer your question. And it's hands-free. You can  like be actually gardening. So, it's almost like   that assistant that's seeing what you're seeing  and can answer questions that you have. Yeah,   exactly. And then Josh mentioned something in one  of his demos where you're sort of like throwing  
context to the assistant and it's catching  it and sort of like saving it for later. I   think that's also really important where the more  context it has, the better it gets at, you know,   helping you with whatever. These new features are  rolling out right now. And if you have access to  
Google AI Ultra, keep an eye out for the new  Spark beta tab hitting your account to set up   your very first autonomous agent. Please consider  subscribing and I'll see you in the next video.