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ModelsThe Verge · AIRelayed· Jay Peters·· 3 hours ago

Google announces Genie 4 with more realistic interactive worlds and audio generation

Google’s next Genie AI model generates more realistic experiences

Who
Google
What
announced the Genie 4 world model for generating interactive experiences
When
Quote
Google announced today its Genie 4 world model for generating interactive experiences using AI.

What happened

Google announced Genie 4, a world model that it says generates more realistic interactive experiences, supports real-time natural language updates, generates audio, and uses Gemini 3.8 Flash for simulations. Experiences can last about two minutes, up from one minute with Genie 3, though details and object permanence can shift over time. It launches as a research preview for trusted testers, with Google AI Ultra access coming soon and a waitlist for Project Genie.

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See the full storyGoogle DeepMind Releases Genie 4 Preview With Audio, Longer Interactive Worlds and Planned API Access

Reported by 9 sources

    The story so far

    Google DeepMind has released Genie 4, a model for generating interactive virtual worlds, as a research preview limited to trusted testers. Google says access is coming soon to Google AI Ultra subscribers through Project Genie and early access partners through the Gemini API and Google AI Studio; TechCrunch reports that rollout is planned in the coming weeks. Google has opened a Project Genie waitlist, and Logan Kilpatrick said Genie 4 will bring the model to the API for the first time. DeepMind says Genie 4 adds native audio and character dialogue, with natural-language prompts letting users change environments and soundscapes during simulations. Google AI says users can change the weather, move the camera and introduce new elements. DeepMind says Gemini 3.8 Flash guides multi-step events by observing scenes, planning actions and checking progress. The Verge reports that experiences can last about two minutes, up from one minute with Genie 3, though scene details and object consistency can shift over time. TechCrunch also reports problems with audio accuracy and text legibility. DeepMind says object permanence, physical interactions and long-term consistency remain research challenges.

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