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3.1 Pro brings advanced reasoning to creative projects, too. 🎨 For example, we used it to build a portfolio based on the novel “Wuthering Heights.” More than just summarizing text, the model reasoned through the novel’s atmospheric tone to design a sleek UI, generating website-ready code that actually captures... show more

Google

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51,347 views • 4 months ago •via X (Twitter)

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Watch one of our favorite Veo 3.1 features in action ⬇️ With Veo 3.1, you can quickly and easily make creative videos in the Google Gemini and Google Flow based on just ingredient images and a prompt. It’s designed to give you more creative control while generating mobile-first videos. Have you tried Veo 3.1 yet?

Watch one of our favorite Veo 3.1 features in action ⬇️ With Veo 3.1, you can quickly and easily make creative videos in the Google Gemini and Google Flow based on just ingredient images and a prompt. It’s designed to give you more creative control while generating mobile-first videos. Have you tried Veo 3.1 yet?

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Introducing Gemini 3.1 Pro 🚀 3.1 Pro represents a major step forward in core reasoning. It scored 77.1% (more than doubling 3 Pro’s score) on ARC-AGI-2, the benchmark that evaluates a model's ability to solve new logic patterns and work through challenges it hasn’t encountered before. This demo illustrates how the model can go beyond the prompt. Instead of rendering a video or static graphic, 3.1 Pro codes a full environment, integrating generative audio and providing UI controls.

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Google AI

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With this new release, Gemini applies advanced reasoning to make sense of complex, changing information in real-time. 3.1 Pro can utilize advanced reasoning to bridge the gap between complex APIs and user-friendly design. For example, Gemini built a live aerospace dashboard, taking live telemetry from a public API and designing a front end to track the Space Station's orbit.

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Google Gemini

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Introducing Nano Banana Pro (Gemini 3 Pro Image), our new state-of-the-art image generation and editing model from Google DeepMind. It improves on the original model while adding new advanced capabilities, enhanced world knowledge and text rendering, allowing you to create and edit studio-quality, production-ready visuals.

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LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models paper page: github: Recent advancements in text-to-image generation with diffusion models have yielded remarkable results synthesizing highly realistic and diverse images. However, these models still encounter difficulties when generating images from prompts that demand spatial or common sense reasoning. We propose to equip diffusion models with enhanced reasoning capabilities by using off-the-shelf pretrained large language models (LLMs) in a novel two-stage generation process. First, we adapt an LLM to be a text-guided layout generator through in-context learning. When provided with an image prompt, an LLM outputs a scene layout in the form of bounding boxes along with corresponding individual descriptions. Second, we steer a diffusion model with a novel controller to generate images conditioned on the layout. Both stages utilize frozen pretrained models without any LLM or diffusion model parameter optimization. We validate the superiority of our design by demonstrating its ability to outperform the base diffusion model in accurately generating images according to prompts that necessitate both language and spatial reasoning. Additionally, our method naturally allows dialog-based scene specification and is able to handle prompts in a language that is not well-supported by the underlying diffusion model.

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Used the updated Build Web Apps plugin that uses GPT-Image-2 to design a UI and assets to recreate Windows 3.1 incl. a virtual filesystem for the MS-DOS prompt. Naturally the next step was to use Browser Use to interact with it and play Minesweeper 😂 Note: Once the cursor is starting to move the video is unedited

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We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. 🧵↓

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Come to think of it, if characters in FNF based on real people look more realistic than the rest of the characters, is that just a visual cue to help the player identify them, or does it imply that the average FNF character looks literally like the BF from this video in-universe?

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this is getting weird 🤯 used Operator to access Google AI Studio used Gemini 2.0 to create instructions to build a website instructed Operator to use the instructions to create a portfolio website on replit THIS IS NOT A TOOL TO BOOK FLIGHTS!!! 🚨 THIS IS AN INTELLIGENT AGENT THAT CAN DO COGNITIVE WORK FOR HUMANS IN THE INFORMATION LAYER OF HUMANITY THAT WE CALL THE WEB.

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branching interface for writing a tighter creative feedback loop guided by a language model to weave through the possibility space of text

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Today we’re releasing a preview of Gemini 3.1 Pro and making it available to our users and developers. Very excited to bring the upgraded core we used in Deep Think to everyone. Learn more about Gemini 3.1 Pro:

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Welcome to Shipmas Day 3 part 1… the big one. 🚢🎁 Today, we remove the ceiling on what you can generate. Starting today, our new default agent is Thinking with Gemini 3 Pro. This agent uses advanced reasoning to "think" through your design before writing a single line of code. The community has been calling Gemini 3 "too good at frontend" and "unmatched in visual reasoning." We agree. It handles complex dashboards, intricate DOM manipulation, and pixel-perfect CSS better than anything we've tested. All designs are backed by code and exportable to your favorite coding agent. The video below shows some single prompt examples to inspire you. Sound on for a preview of the new Stitch theme song 🔊

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