Skip to main content
  1. Home
  2. Emerging Tech
  3. News

Google’s Genie AI will let you create a whole visual world of your imaginations

Google's Project Genie lets AI generate interactive worlds from simple inputs, offering a glimpse at the future of immersive AI experiences, currently rolling out exclusively to AI Ultra subscribers in the U.S.

Add as a preferred source on Google
Google's Project Genie announcement.
Google

Google has a long history of quietly building some of the most capable AI-based chatbots and services, but its newest experiment, called Project Genie, is unlike anything most of us have seen. Developed by Google DeepMind, Genie is a text-to-digital-world generator, if you will, capable of generating interactive digital environments.

While we’ve been getting used to generating text, images, or even videos with short text-based prompts, Genie can quite literally convert a simple sketch, a photo, or even a concise prompt into a sandbox-style world on a computer you can move around in, through your own digital character.

What is Project Genie anyway?

No game engine, no coding, no 3D design abilities, and no top-grade hardware requirements. Project Genie is what Google calls a “world model,” a generative AI model that renders the digital environment (in real-time) as you move around.

Recommended Videos

In other words, it predicts your movement and its effects on the surroundings, and builds a world around it while accounting for the physics. Google has made this possible by combining three of its most advanced models: Genie 3, Gemini, and Nano Banana Pro.

So, with the right prompt or the right image, you can create a simulation of any real-world scenario, “from robotics and modelling animation and fiction, to exploring locations and historical settings.”

How does AI-based digital world creation work?

The interactive digital experience is based on three core capabilities: world sketching, world exploration, and world remixing. World sketching involves transforming a piece of text or an image into a living, expanding environment.

Then, world exploration is about interacting with the elements in the digital world. The model then figures out the cause-and-effect on its own. Last but not least, users can also remix existing worlds by taking inspiration from or building on them.

Traditionally, creating interactive worlds has been very slow, technically demanding, and expensive, which is why open-world game developers (you know which one I’m talking about) might take more than a decade to launch new versions.

Access reserved for Google’s most expensive subscription tier

Project Genie could practically revolutionize the industry by enabling quick game prototyping, simulation testing, and creative experimentation that require a fraction of the resources.

The sad part, however, is that Project Genie isn’t a polished consumer product (yet). For now, it is only available for Google AI Ultra subscribers in the United States who are 18 or older. It is the most expensive subscription tier Google currently offers ($249.99 per month).

Given that the AI-based experience generator is currently under development, users shouldn’t expect the generated worlds to be perfect. The character control could also feel clunky. But even so, Project Genie could be the beginning of something huge, a glimpse at a future where AI doesn’t just generate content, but builds entire experiences on demand.

Shikhar Mehrotra
For more than five years, Shikhar has consistently simplified developments in the field of consumer tech and presented them…
Yet another study says AI is bad for elections, and the rabbit hole gets worse
AI may be an election bomb waiting for someone to light the fuse
Voters cast their ballots on Election Day

Another election, another study has concluded that asking an AI chatbot for political guidance is a spectacularly bad idea. Research conducted during Hungary’s 2026 parliamentary election found that ChatGPT and Google Gemini offered not just inaccurate but also inconsistent and unreliable voting advice. The chatbots misclassified voter profiles, overlooked relevant parties, recommended parties absent from the ballot, and sometimes produced materially different answers when given the same information repeatedly.

AI keeps failing the voter test

Read more
Samsung’s humanoid robot ambitions are real, but factories come first
Samsung’s new robotics division has humanoids in its sights, although its immediate business is far more practical factory automation
Robot Touch Human Finger

Samsung wants a place in the humanoid race, but its new robotics push begins with machines built for factories rather than homes.

The CEO-led RX robotics division will initially focus on manufacturing robots. Samsung has separately identified humanoids as a priority, although it hasn’t announced a commercial model or explained where one fits into the division’s immediate plans.

Read more
The future of AI may depend on this one behind-the-scenes change
Running Claude on Android.

Whenever a new AI model arrives, it's easy to get caught up in the bells and whistles. We talk about how much smarter it is, how quickly it answers questions, or how realistic its images have become. But here's the thing: none of that matters much if the AI can't reliably work with the apps and services people use every day.

That's why an upcoming update to the Model Context Protocol (MCP) caught my attention. It isn't a new chatbot or a fancy AI model. In fact, most people will never even know it's happening. But it could quietly make the AI ecosystem a lot healthier. If you've never heard of MCP before, don't worry. Think of it as a shared language that lets AI assistants safely talk to apps like Gmail, Slack, calendars, databases, and countless other services. Instead of every company inventing its own way to make those connections, MCP gives everyone a common rulebook.

Read more