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Antigravity is only possible because of Gemini 3. We needed a model that could handle: 🧠 Complex Reasoning 👁️ Native Multimodality 🖥️ Computer Use

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Google Antigravity

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66,920 Aufrufe • vor 9 Monaten •via X (Twitter)

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Today we entered the Gemini 3 era, our next step on the path toward AGI. ⚡ Gemini 3 is our most intelligent model that combines capabilities like multimodality, long context and reasoning, so you can bring any idea to life. Explore more of what you can do and build with Gemini 3 🧵⬇️

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Gemini 3 Flash can analyze high-fidelity images and use multimodal reasoning to determine next steps. See how the model understands complex visuals and generates layers of interactive elements.
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Yesterday at #GoogleIO, we introduced Gemini 2.5 Pro Deep Think 🧠, pushing the frontiers of AI reasoning. This enhanced reasoning mode is built to tackle drastically complex problems – like USAMO problems that stumped previous models. Super proud of the GDM team for this one!

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.Google DeepMind Gemini 2.5 Pro is really helpful for education. Simply we can turn any idea, concepts into interactive web components! Here is an example for NVIDIA Dynamo. Complex visualization was a technique that only small number of people could handle. Now we all have it.
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Google Antigravity is our new agentic development platform. It helps developers build faster by collaborating with AI agents that can autonomously operate across the editor, terminal, and browser. It uses Gemini 3 Pro 🧠 to reason about problems, Gemini 2.5 Computer Use 💻 for end-to-end execution, and Nano Banana 🍌 for image generation.
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Antigravity's computer use has also been massively upgraded with Gemini 3 Flash. It is both faster and better at doing long agentic tasks using the browser. Here's Antigravity doing deep research on the Pareto frontier of models and writing code to visualize the result.
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Standard Intelligence's devansh responds to roon's tweet that "text is the universal interface," and explains why their new foundation model is trained on video: "At some point in the arbitrarily long future, if we only use text models, we could force most things to be text. But I think there are just a lot of things that are much more native when done from a computer-use [perspective]." "GUIs are designed for humans to use. We have this massive long tail of things on the internet that are entirely undoable by LLMs." "For example, when I do ML engineering most of my time is spent doing the grunt work of engineering. It's a lot of looking at graphs, analyzing, and comparing loss curves. You can do this in text, but it's a much larger pain than doing it in the native interface." "There's a reason humans don't interact with a computer purely through text, it would kind of suck."

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