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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 görüntüleme • 4 ay önce •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?

Google

59,060 görüntüleme • 3 ay önce

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.

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.

Google AI

3,067,002 görüntüleme • 4 ay önce

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.

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.

Google Gemini

106,360 görüntüleme • 4 ay önce

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.

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.

Google

1,897,124 görüntüleme • 7 ay önce

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.

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.

AK

83,657 görüntüleme • 2 yıl önce

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

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

dominik kundel

37,219 görüntüleme • 2 ay önce

🏦 For a small taste of how good our new Gemini 2.5 Pro model is at generating UI elements: 👇Check out how well it was able to replicate a screenshot of an example bank statement - even creating a similar logo, and preserving all of the text: Google AI Studio

👩‍💻 Paige Bailey

16,054 görüntüleme • 1 yıl önce

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. 🧵↓

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. 🧵↓

Google

7,737,171 görüntüleme • 3 ay önce

Introducing the new Pixel 10a. It has everything you need — like a completely flat, durable design, more battery life, advanced AI tools and a best-in-class camera system* — for just $499. *Among smartphones under $500 (MSRP) in the U.S. Based on third-party evaluation of Pixel 10a.

Introducing the new Pixel 10a. It has everything you need — like a completely flat, durable design, more battery life, advanced AI tools and a best-in-class camera system* — for just $499. *Among smartphones under $500 (MSRP) in the U.S. Based on third-party evaluation of Pixel 10a.

Google

84,245 görüntüleme • 4 ay önce

Introducing ImagineArt 2.0 - The world's most realistic image generation model! 🧠 Reasoning-based prompt adherence 🎬 Cinematic photography ⚡ Concept to final in seconds 🔤 Text rendering that actually works This is what happens when an image model stops generating and starts reasoning.

Introducing ImagineArt 2.0 - The world's most realistic image generation model! 🧠 Reasoning-based prompt adherence 🎬 Cinematic photography ⚡ Concept to final in seconds 🔤 Text rendering that actually works This is what happens when an image model stops generating and starts reasoning.

ImagineArt

714,542 görüntüleme • 2 ay önce

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?

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?

FNF: Vs Cartoon Cat

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Anthropic engineers just showed how they build a full app from scratch, using a loop of agents 40 minutes from the team behind Claude Code they used three agents: one to plan, one to build, one to judge, cycling until the app actually works the winners won't have the smartest model, they'll have the best loop watch it, then read the full guide on how to actually use loops below

Anthropic engineers just showed how they build a full app from scratch, using a loop of agents 40 minutes from the team behind Claude Code they used three agents: one to plan, one to build, one to judge, cycling until the app actually works the winners won't have the smartest model, they'll have the best loop watch it, then read the full guide on how to actually use loops below

Anatoli Kopadze

1,894,937 görüntüleme • 18 gün önce

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.

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.

Dan Mac

332,182 görüntüleme • 1 yıl önce

We used Gemini 3.1 Pro to build a realistic city planner app. 🏙️ Watch how the model tackles complex terrain, maps out infrastructure, and simulates traffic to generate a high-quality visualization.

We used Gemini 3.1 Pro to build a realistic city planner app. 🏙️ Watch how the model tackles complex terrain, maps out infrastructure, and simulates traffic to generate a high-quality visualization.

Google DeepMind

14,572,614 görüntüleme • 4 ay önce

The plot thickens. 🕵️ Use Gemini 2.5 Pro in the Google Gemini to turn random videos from your camera roll into a dramatic narrative. Try it yourself: 1️⃣ Go to Gemini and select “2.5 Pro” from the model dropdown. 2️⃣ Tap the plus icon and upload three videos from your camera roll. (Pro/Ultra subscribers, try using your Veo creations! 🎥) 3️⃣ Ask Gemini to write a short story based on the videos. Here’s our prompt to get you started: “Come up with a premise for an epic adventure based on these videos.”

The plot thickens. 🕵️ Use Gemini 2.5 Pro in the Google Gemini to turn random videos from your camera roll into a dramatic narrative. Try it yourself: 1️⃣ Go to Gemini and select “2.5 Pro” from the model dropdown. 2️⃣ Tap the plus icon and upload three videos from your camera roll. (Pro/Ultra subscribers, try using your Veo creations! 🎥) 3️⃣ Ask Gemini to write a short story based on the videos. Here’s our prompt to get you started: “Come up with a premise for an epic adventure based on these videos.”

Google

164,412 görüntüleme • 1 yıl önce

Want to clone a website's design DNA? 🧬 MCP plugin (just added to MCP Marketplace) for Cline lets you: • Feed it any website for inspiration • Extract design patterns • Analyze content structure • Map navigation flows Real example: - Analyzed - Extracted typography choices - Mapped navigation patterns - Studied section layouts Result? A new website that captures the essence while maintaining unique identity. Think of it as design inspiration on autopilot: Input → Analysis → Adaptation → Creation Key insight: You're not copying—you're learning from the best and making it your own. Question: What website's DNA would you want to study?

Want to clone a website's design DNA? 🧬 MCP plugin (just added to MCP Marketplace) for Cline lets you: • Feed it any website for inspiration • Extract design patterns • Analyze content structure • Map navigation flows Real example: - Analyzed - Extracted typography choices - Mapped navigation patterns - Studied section layouts Result? A new website that captures the essence while maintaining unique identity. Think of it as design inspiration on autopilot: Input → Analysis → Adaptation → Creation Key insight: You're not copying—you're learning from the best and making it your own. Question: What website's DNA would you want to study?

Cline

77,732 görüntüleme • 1 yıl önce

Who let the DOGE 🐕 out? We did: ckDOGE brings new functionality to DOGE that enables it to be more than just a symbolic, passive asset. It can now become active capital: • used in DeFi • integrated into onchain apps • potentially generating yield Fun fact: ckDOGE transactions are 10–100× faster and cheaper than native Several ICP ecosystem projects are already working on integrations. In the meantime, here's a demo 👇

Who let the DOGE 🐕 out? We did: ckDOGE brings new functionality to DOGE that enables it to be more than just a symbolic, passive asset. It can now become active capital: • used in DeFi • integrated into onchain apps • potentially generating yield Fun fact: ckDOGE transactions are 10–100× faster and cheaper than native Several ICP ecosystem projects are already working on integrations. In the meantime, here's a demo 👇

DFINITY Foundation

20,434 görüntüleme • 3 ay önce

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

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

Azlen

53,043 görüntüleme • 1 yıl önce

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:

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:

koray kavukcuoglu

105,380 görüntüleme • 4 ay önce