Gemini Omni is our new AI model that can create anything from any input, starting with video. 🪄 Hear from Demis Hassabis on how you can mix text, audio, and images to generate and edit high-quality videos just by having a conversation.
What stands out is how quickly AI is evolving from a prompt-response tool into a continuous interaction layer. The shift toward agentic systems, multimodal reasoning, and autonomous execution feels like a much bigger transition than incremental model upgrades alone.
The multimodal angle that matters most for businesses isn't generating from scratch. It's the ability to iterate on existing assets through conversation rather than rebuilding them. That changes the economics of content production, training material creation, and customer-facing media. The question for most operators isn't "can we create video with AI?" It's "how does this fit into the workflow we already have, and who owns the output?"
Google This is the true transformation we've been waiting for: from an "AI tool" to a "real-life creative dialogue partner." Integrating text, audio, and images into a single model not only simplifies production but also redefines the very meaning of "editing"—we're no longer dealing with a timeline, but with a live conversation. What's most interesting is that starting with video isn't arbitrary; video is the most complex and information-rich medium. If the model masters video, it means it's beginning to understand the world in its natural form: time, space, relationships, and the logical sequence of events. The fundamental question now isn't "What can we create?" but "How will this change the very nature of human creativity?"
The nuance people miss is that "any input to any output" sounds like a feature announcement, but it's actually a platform strategy. Google is positioning Gemini as the connective tissue across modalities - the same way APIs became infrastructure. The question worth sitting with is whether creative professionals will adopt conversational workflows or resist them the way designers initially resisted templates. Behavior change is always the harder problem than the technology itself.
Google Most people are focusing on the quality of the AI outputs. The deeper shift is that Google is collapsing the entire creative stack into one conversational interface. When text, image, audio and video stop being separate workflows, the real competitive advantage moves from “production skill” to “idea velocity.” That changes creative industries more than the model itself.
the concept that AI is becoming so much more realistic by incorporating actual physics is amazing and terrifying at the same time
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Gemini Omni is our new model that creates anything from any input, starting with video. Hear Demis Hassabis explain how text, audio, and images can be used to generate and edit video through conversation.

The Omni capability people will actually use is not creating from a blank prompt. It is editing by asking. That is where multimodal stops being a generation problem and becomes a feedback loop. Feedback loops are bounded by context persistence and how fast the runtime can act before the user's attention moves on. The model creates the media. The runtime will decide where multimodal creation lives.