趋势解读：How we used Gemini to build Google I/O，解读最新 AI 进展

From the jellyfish pre-show to our “TPU Training Day” film, see how Gemini helped make I/O happen this year. Your browser does not support the audio element. Google I/O 2026 was all about how we’re making AI helpful for everyone in new ways. But we didn’t just make announcements about our innovations in AI at I/O — we used those tools to bring I/O to life, too. It’s both a strange and exciting moment to be building anything. We're living through an incredible shift where AI tools are getting better each month, effectively rewriting the rules of what we can create. This year, we challenged ourselves to use the same AI we were putting on stage to out-innovate, out-create and out-efficient ourselves. We moved faster than ever and prototyped in real-time — blending human artistry with experimental technology — with no better example than the "Timmy TPU" film. But the reward is showing how these tools unlock creativity and offload the mundane tasks, giving the team their best hours back for the parts they are uniquely suited to do. When done right, the event is amazing on its own, and, as a viewer, you stop thinking about how AI was used. That shift is the opportunity we want to share, because people keep asking, “What can you really do with AI?” Keep reading to learn which AI tools we used — and how we prompted them — to help make I/O 2026 happen. The AI products & models: Google AI Studio; experimental DeepMind models; Gemini Omni; Nano Banana What we did: We created a short film starring a bunch of TPUs getting ready to do some heavy lifting for I/O 2026. How we did it: This project started with a question: Could we make an animated film with the simplest materials — cardboard and markers — and then use AI to bring it to life? We worked with director Laurie Rowan and Nexus Studios to blend puppets, traditional animation and AI — keeping human craft and artistry right at the heart of "TPU Training Day" (also known as "Timmy TPU"). First, we captured character performances through puppetry and simple 3D animation. This gave us full control over framing and camera movement. We then used Nano Banana to generate stylized first frames from that raw footage. To keep frames consistent, we built a custom tool inside Google AI Studio. This let us test Nano Banana frames at scale, ensuring pixel-perfect matches before generating sequences.