Step into the map with the Street View grounding feature in Project...

Uploaded: 2026-07-10T15:53:15.000Z
Duration: PT27.027S
Channel: Google AI

0:25

Have you explored Project Genie yet? 🌎 We just launched a huge set of updates! You can now simulate worlds grounded in Google Maps Street View, manage your creations in a new library, and share them externally. Let's dive in: 1️⃣ Street View Grounding: You can now generate worlds starting from real places! Just tap the Maps pin to choose a location in the US and you can pick a style like "Desert Sands" or "Ocean World." Describe your character, and Genie ties your starting location to real-world imagery. 2️⃣ Library: You can now store and organize your generated worlds. Easily explore past creations or remix your favorites to iterate on your ideas. 3️⃣ External sharing: You can now share your generated worlds. Anyone can watch a video preview of your world, and Ultra subscribers can explore or remix them. Check out a shared world here: ✨ And now, Project Genie is gradually rolling out to all eligible Google AI Ultra subscribers globally (18+). Jump in and start creating today!

Google Labs

84,475 views • 3 months ago

0:20

🌐 Incredibly happy to share Project Genie with the world. We announced Genie 3 in August, and since then the team worked hard to make it available to more people. Starting today, Project Genie is available to all Ultra subscribers in the US. Create an interactive world from any text prompt or image, tweak it and walk into the world you just created! Can't wait to see what you create with it 🚀🧞

Shlomi Fruchter

34,622 views • 6 months ago

0:33

Today we are announcing Genie 3, a general purpose world model by Google DeepMind that can generate dynamic, interactive environments with a single text prompt. World models are AI that understand facets of the world (like Veo's knowledge of intuitive physics or Genie's mastery of new environments), and serve as a key stepping stone on the path to AGI. Genie 3 is our first world model to allow interaction in real-time, while also improving consistency and realism compared to Genie 2. Learn more ➡️

Google AI

102,667 views • 1 year ago

0:28

I got early access to Project Genie from Google DeepMind ✨ It's unlike any realtime world model I've tried - you generate a scene from text or a photo, and then design the character who gets to explore it. I tested dozens of prompts. Here are the standout features 👇

Justine Moore

229,768 views • 6 months ago

0:29

What Happens when you bash Genie-3 (which is now hooked into Google Street View) INTO Google Omni? Something kind of fascinating! We know that Genie-3 tends to decohere the further you go, but Omni can keep it consistent AND add in real world details.

Theoretically Media

26,636 views • 2 months ago

1:09

You might be wondering... How does Project Genie work?🤔 Great question. Project Genie is a prototype web app powered by several of our most advanced AI models, each bringing a unique capability to the equation. From Genie 3's ability to simulate the physics and interactions of any scenario, to Nano Banana's sketching and design, to Gemini's advanced world knowledge and reasoning, this combination results in Project Genie's unique, interactive, (and really cool) user experience. But don't just take our word for it, try it today at:

Google AI

136,613 views • 6 months ago

0:23

Cool new launch for Project Genie ✨ World generation is now grounded with Google Maps. Pick a real-world location, restyle it, and draft a character to explore the scene. I turned a16z SF into a desert and wandered around as a camel.

Justine Moore

62,162 views • 3 months ago

0:20

Google Street View started as a project to scan the real world. Cars with cameras photographed streets to collect data. It worked, but everything that made a place feel like a place was gone. Until Andy Szybalski prototyped what it could feel like as a product designed for people. The prototype was completely fake. The map didn't work and the imagery wasn't real. But it let people feel what it was like to stand on the street. An engineer saw it and said "let's ship it." Andy had to explain there was nothing to ship. This "smoke and mirrors" prototype convinced the team to throw out years of work and rebuild Street View through the eye of a human instead of a machine. I talked with Andy about the whole story, including the prototypes, the key design decisions, and how Street View became one of the most beloved products on the internet. Full story (with more early prototypes) in the replies 👇

Elizabeth Laraki

14,618 views • 1 month ago

0:47

Proof of how fast AI is developing: on the left a clip of Google Deepmind's Genie 2 from December 2024, on the right a clip of Genie 3 from August 2025. I last wrote about Genie 2 in December and was impressed by the quality. But it is no comparison to what was released by Google almost 6 months later. Some more examples.

Chubby♨️

83,626 views • 1 year ago

1:30

This is pretty cool 👓 Google Announces Geospatial Creator powered by ARCore & Google Maps and it allows you to visualize, design, and publish world-anchored content by using Unity ! Few features available: 📌 Photorealistic 3D Tiles: Visualize the 3D geometry of the world and deploy location-anchored content accurately with high-resolution, photorealistic 3D tiles. 📌 Geospatial anchors: Place and anchor 3D content at any given latitude, longitude, and altitude with sub-meter accuracy in areas covered by Google Street View. 📌 Terrain anchors: Place and anchor 3D content with only latitude and longitude coordinates, using data from Google Maps to determine ground level. 📌 Rooftop anchors: Use rooftops to place and anchor 3D content with respect to the building geometry and terrain in areas covered by Google Street View. 📢 To get started with Unity follow these steps: #AR #Google

Dilmer

58,292 views • 3 years ago

1:00:31

Today, we're joined by Jack Parker-Holder and Shlomi Fruchter, researchers at Google DeepMind, to discuss the recent release of Genie 3, a model capable of generating “playable” virtual worlds. We dig into the evolution of the Genie project and review the current model’s scaled-up capabilities, including creating real-time, interactive, and high-resolution environments. Jack and Shlomi share their perspectives on what defines a world model, the model's architecture, and key technical challenges and breakthroughs, including Genie 3’s visual memory and ability to handle “promptable world events.” Jack, Shlomi, and Sam share their favorite Genie 3 demos, and discuss its potential as a dynamic training environment for embodied AI agents. Finally, we will explore future directions for Genie research. 🗒️ For the full list of resources for this episode, visit the show notes page: 📖 CHAPTERS =============================== 00:00 - Introduction 7:11 - What is a world model? 14:49 - Milestones of Genie research 24:32 - Genie 3 27:46 - Challenges 30:07 - Genie 3 examples 33:48 - Model capabilities 35:49 - Key aspects of the model 39:40 - Consistency as an emergent property 42:11 - Promptable word events 47:24 - SIMA agent 50:56 - Limitations 56:08 - Future directions

The TWIML AI Podcast

12,043 views • 1 year ago

2:41

New open-source 3D world-generation model. I'm rendering a couple of worlds in the video, so check it out. You'll find the GitHub and the Hugging Face links to the model below. This is a multi-modal world model that you can use for a bunch of things: • To generate new worlds • To reconstruct worlds • To simulate 3D interactive worlds from a prompt, images, or a video You can edit the 3D outputs in Unity and Unreal Engine (they export as meshes, 3DGS files, and point clouds). You can also generate 3D characters in the world and walk around. Pretty fun stuff!

Santiago

65,446 views • 4 months ago

1:32

Goodbye clicking on Google Street View to check out the route! In your browser, with you can actually drive anywhere in the world🚀 You can also create multiplayer races🚗🏎🚓 The world is generated ahead of you in real-time from OpenStreetMap data combined with satellite elevation data as you drive. Just added a WIP of night mode and replaced the placeholder terrain/road textures with some nicer physics-based textures. Also now anywhere you go a million street lights will be added too. This is actually slowly starting to look like the promised Need For Speed + Google Maps #threejs #gamedev #indiedev Single player mode: Just find a location, click anywhere on the map and click "Hop Here". After parachuting down hold X to call the car to the road. Multiplayer mode: Click on "Create race" and select start and finish points. A route will be plotted. Click on Share Race to get the link and start racing!

DVLP

13,444,120 views • 14 days ago

1:21

I really want to show off the cutting edge tech the team is building and how we're turning AI image generation into real living environments using gaussian splats and at the :19 mark of this video you can see how we're blending splats together to create a real world. What this looks like from a gaming perspective is this all happens behind the players view to simulate a real world environment. As you move through the space, distance becomes a variable to consider on how images update and are experienced. We are creating a new reality in real time.

𝔹𝕃𝕍ℂ𝕂𝕃!𝔾ℍ𝕋

25,084 views • 2 months ago

1:26

Without World Models, There Is No AGI. Google Just Proved It. If AGI ever happens, it will not come from bigger chatbots alone. From the very start of this interview, one thing is crystal clear: without world models, we will never reach AGI. And right now, Google is leading with its world simulator Genie 3. Here is the core of what Demis Hassabis explains in this conversation: • World models are the missing core of AGI Hassabis says his deepest long term focus has always been world models and simulations. Not just language. Not just prediction. Actual internal simulations of reality. • LLMs are impressive, but incomplete Language models understand more about the world than expected because human language encodes a lot of reality. Still, language is only a shadow of the real thing. • What text can never fully teach Reality includes things text struggles to express: •3D space and spatial dynamics •Physical causality and mechanics •Sensorimotor experience like movement, force, smell, or balance • Experience beats description To close the gap, AI must learn from interaction and experience, not just static text. That is how you build an internal world simulator. • Why Genie 3 matters With Google DeepMind pushing systems like Genie 3, AI starts to model reality itself, not just talk about it. • Robots and real world assistants depend on this True robotics, smart glasses, and universal assistants require AI that understands the physical world you live in, not just your screen. Bottom line: AGI will not emerge from better text prediction. It will emerge from systems that can simulate, predict, and understand reality itself. Right now, Google is clearly ahead on that path. Curious what you think. Are world models the real AGI unlock, or just another stepping stone?

VraserX e/acc

23,784 views • 7 months ago

0:20

✨ Introducing 3 new ways to build with real-world imagery and AI → From the fine details of a city street to a bird's eye view of the planet, at Cloud Next we revealed new ways that businesses can use our Street View, aerial and satellite imagery, and tap into our comprehensive view of the physical world including: 🏙️ Use Maps Imagery Grounding in Gemini Enterprise Agent Platform to generate location-specific assets at scale, anchored in real-world Street View imagery 🌍 Unlock a new perspective with Aerial and Satellite Insights, part of Earth AI, in BigQuery and Agent Platform to quickly extract detailed info about our changing planet 🛰️ Build custom apps with Aerial and Satellite models in Model Garden from Earth AI that easily identify specific objects or scenes Read the blog at the link above and sign up for early access.

Google Maps Platform

12,355 views • 3 months ago

2:22

GOOGLE UNLEASHES GENIE 3 - BE CAREFUL WHAT YOU WISH FOR Google’s new “world model” lets AI agents learn by pretending to ski, work in warehouses, or roam mountain lakes - all from a text prompt. It’s like The Sims, but for robots learning how to take your job. DeepMind says it’s a step toward AGI, where AI stops playing chess and starts playing human. This isn’t some science fair demo. Genie 3 is how you train machines to do everything - faster, cheaper, and without needing lunch breaks. Source: Guardian

Mario Nawfal

110,928 views • 1 year ago

2:18

In 2026, AI world models will take the spotlight in storytelling - powering new types of interactive experiences & digital economies not seen before World models are progressing rapidly - Marble World Labs and Genie 3 Google DeepMind already generate 3D environments from text prompts, allowing users to explore them as if they were video games As creators adopt these tools, new storytelling formats will emerge. One genre I'm excited about is "generative Minecraft" - where players co-create virtual worlds together by vibe coding with world models. Game mechanics could be programmable with natural language - ex. "create a paintbrush that changes the color of anything I touch to pink" World models will also likely give rise to not just a single game, but an entire new category of generative world experiences - you could have a horror experience where you’re hiding from generated monsters, or a D&D experience where you’re roaming an infinite fantasy world with friends And with a common base model for the underlying worlds, these experiences could be inter-connected in a multiverse we could only dream about previously in science fiction A key affordance here is the role of consumers as co-creators - you can wander the multiverse as a tourist, or break out your pickaxe and become a creator anytime. This in turn would give rise to new digital economies - with creators making a living building and selling interoperable assets, serving as a guide for new players, etc The opportunity is enormous - a new category of generative worlds would not only create a new storytelling medium unlike any we’ve seen before, but also be rich training grounds for agents, robotics, and AGI If you’re excited about building new interactive experiences or the virtual economy stack with world models - we’d love to hear from you!

Jon Lai

29,871 views • 8 months ago

3:12

What would a World Model look like if we start from a real embodied agent acting in the real world? It has to have: 1) A real, physically grounded and complex action space—not just abstract control signals. 2) Diverse, real-life scenarios and activities. Or in short: It has to be annoyingly complex—in both the action and vision space—to even get close to real life. We did an initial attempt: Whole-Body Conditioned Egocentric Video Prediction. In collaboration with @dans_t123 , Amir Bar, Yann LeCun , trevordarrell and Jitendra MALIK. (For more details, check: What we did is very simple: Predict Egocentric Video from human Actions (PEVA) - Given the past video and a future action represented by relative 3D body pose, PEVA predicts how the world looks next—from the first-person view. By conditioning on kinematic pose trajectories, structured by the joint hierarchy of the body, it learns how physical actions shape perception.

Yutong Bai

179,017 views • 1 year ago

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I got early access to Project Genie from Google DeepMind ✨ It's unlike any realtime world model I've tried - you generate a scene from text or a photo, and then design the character who gets to explore it. I tested dozens of prompts. Here are the standout features 👇

What Happens when you bash Genie-3 (which is now hooked into Google Street View) INTO Google Omni? Something kind of fascinating! We know that Genie-3 tends to decohere the further you go, but Omni can keep it consistent AND add in real world details.

Cool new launch for Project Genie ✨ World generation is now grounded with Google Maps. Pick a real-world location, restyle it, and draft a character to explore the scene. I turned a16z SF into a desert and wandered around as a camel.