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Introducing Gemini Cursor ✨ – a second multimodal AI cursor for your desktop that's open-source and free! Link below 👇 This experiment 🧪 reimagines how we interact with our computers because visual cues 👀 help us make sense of what we see on a screen. In this demo, I... show more

Sriraam

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176,273 views • 1 year ago •via X (Twitter)

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Introducing Perplexi-Tube, the Perplexity for YouTube that I built in 20 minutes... A Mobile app that uses Deepseek and Gemini I used Cursor and the React Native template built that makes building mobile apps incredibly easy. Tomorrow I'm releasing a full tutorial on how to create a mobile app with react native. You will need - XCode and Simulator (free) - Cursor - A Clerk Account (for auth, free) - A Deepseek API Key - A Gemini API Key (Optional, we used it because deepseek has been down today) Video will be released tomorrow, and I will open source this code as well.

Introducing Perplexi-Tube, the Perplexity for YouTube that I built in 20 minutes... A Mobile app that uses Deepseek and Gemini I used Cursor and the React Native template built that makes building mobile apps incredibly easy. Tomorrow I'm releasing a full tutorial on how to create a mobile app with react native. You will need - XCode and Simulator (free) - Cursor - A Clerk Account (for auth, free) - A Deepseek API Key - A Gemini API Key (Optional, we used it because deepseek has been down today) Video will be released tomorrow, and I will open source this code as well.

Riley Brown

117,889 views • 1 year ago

I’m reverse-engineering the Google AI mouse pointer and making it Open Source! It sees your screen. You can freeform paint anything and ask AI to modify it. It understands the app or window you mean. It can click, type, edit, navigate, and even write + execute code. A tiny cursor becoming a real computer-use agent. Made with the help of Cua which is an AMAZING reference for computer use Sorry Google DeepMind but I had to do this heyclicky Started a revolution and we will be the ones to win Also credits to Omkar Satpute for the help Feel free to modify it , update it and make it your own, we gotta beat them at this. Link to the repo in the comments:

I’m reverse-engineering the Google AI mouse pointer and making it Open Source! It sees your screen. You can freeform paint anything and ask AI to modify it. It understands the app or window you mean. It can click, type, edit, navigate, and even write + execute code. A tiny cursor becoming a real computer-use agent. Made with the help of Cua which is an AMAZING reference for computer use Sorry Google DeepMind but I had to do this heyclicky Started a revolution and we will be the ones to win Also credits to Omkar Satpute for the help Feel free to modify it , update it and make it your own, we gotta beat them at this. Link to the repo in the comments:

Milind S

215,429 views • 3 months ago

I added a Knowledge Graph to Cursor using MCP. You gotta see this working! Knowledge graphs are a game-changer for AI Agents, and this is one example of how you can take advantage of them. How this works: 1. Cursor connects to Graphiti's MCP Server. Graphiti is a very popular open-source Knowledge Graph library for AI agents. 2. Graphiti connects to Neo4j running locally. Now, every time I interact with Cursor, the information is synthesized and stored in the knowledge graph. In short, Cursor now "remembers" everything about our project. Huge! Here is the video I recorded.

I added a Knowledge Graph to Cursor using MCP. You gotta see this working! Knowledge graphs are a game-changer for AI Agents, and this is one example of how you can take advantage of them. How this works: 1. Cursor connects to Graphiti's MCP Server. Graphiti is a very popular open-source Knowledge Graph library for AI agents. 2. Graphiti connects to Neo4j running locally. Now, every time I interact with Cursor, the information is synthesized and stored in the knowledge graph. In short, Cursor now "remembers" everything about our project. Huge! Here is the video I recorded.

Santiago

155,647 views • 1 year ago

Let Google do the Googling for you! This was a promise during GoogleIO 24" and we finally get to see what it looks like. I just got access to the new AI Mode - powered by a powerful finetuned of Gemini 2.0, and I was honestly blown away 👀 Here's my Live Reaction Teaser

Let Google do the Googling for you! This was a promise during GoogleIO 24" and we finally get to see what it looks like. I just got access to the new AI Mode - powered by a powerful finetuned of Gemini 2.0, and I was honestly blown away 👀 Here's my Live Reaction Teaser

Alex Volkov (Thursd/AI)

16,162 views • 1 year ago

Gemini 2.0 drops the beat. Watch the video all the way through — I had four legit "no way it did that" reactions when Jon Taylor sent this to me. "It looks like it's only hitting on the first beat of each bar." This is Jon collaborating with Gemini to create a song in Ableton Live. Jon is using the Multimodal Live API to stream audio and video to Gemini and have a conversation about the song he's creating.

Gemini 2.0 drops the beat. Watch the video all the way through — I had four legit "no way it did that" reactions when Jon Taylor sent this to me. "It looks like it's only hitting on the first beat of each bar." This is Jon collaborating with Gemini to create a song in Ableton Live. Jon is using the Multimodal Live API to stream audio and video to Gemini and have a conversation about the song he's creating.

kwindla

86,178 views • 1 year ago

Excited for this one! With Gemini 3, we’ve been experimenting with how to take the web for a fresh spin. Our first Google Labs experiment, GenTabs, lets you remix your open tabs into totally custom apps to help you make anything out of the web. Join the waitlist to try GenTabs today in Disco 🪩, our latest experimental way to disco-ver (get it!? ;) new AI-powered features, and help us decide if we should bring something like this to Chrome More →

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Parisa Tabriz

37,217 views • 8 months ago

$We’re shipping two major updates to streamline your creative workflow, allowing you to generate high-speed images with one model and then instantly animate them with the other—all at a fraction of the cost 🍌⚡️ 1️⃣ Introducing Nano Banana 2 Lite: Our fastest and most cost-efficient Gemini Image model yet delivers text-to-image outputs in under 4 seconds. Now available via the Gemini API and Google AI Studio, and rolling out soon across @NotebookLM, Google Flow, Google Gemini, Stitch by Google, Google Search and Google Photos. 2️⃣ Gemini Omni Flash in Public Preview: Our natively multimodal model for cost-efficient video generation and conversational editing. Now available via the Gemini API, Google AI Studio, and Gemini Enterprise Agent Platform so you can integrate the model into your workflow. While exciting on their own, the real magic happens when you build using these models together. Watch how our interior design demo integrates Nano Banana 2 Lite and Omni to instantly reimagine any space. Upload a photo, swipe through tailored design concepts, and see Omni bring the details to life in cinematic motion. Try out the demo app in AI Studio:$

We’re shipping two major updates to streamline your creative workflow, allowing you to generate high-speed images with one model and then instantly animate them with the other—all at a fraction of the cost 🍌⚡️ 1️⃣ Introducing Nano Banana 2 Lite: Our fastest and most cost-efficient Gemini Image model yet delivers text-to-image outputs in under 4 seconds. Now available via the Gemini API and Google AI Studio, and rolling out soon across @NotebookLM, Google Flow, Google Gemini, Stitch by Google, Google Search and Google Photos. 2️⃣ Gemini Omni Flash in Public Preview: Our natively multimodal model for cost-efficient video generation and conversational editing. Now available via the Gemini API, Google AI Studio, and Gemini Enterprise Agent Platform so you can integrate the model into your workflow. While exciting on their own, the real magic happens when you build using these models together. Watch how our interior design demo integrates Nano Banana 2 Lite and Omni to instantly reimagine any space. Upload a photo, swipe through tailored design concepts, and see Omni bring the details to life in cinematic motion. Try out the demo app in AI Studio:

Google AI

129,052 views • 2 months ago

🔥 💻 🎥 How to provide o1 Pro with your FULL CODEBASE through the ChatGPT Cursor connection yesterday I recorded a video connecting o1 Pro to Cursor through the ChatGPT Desktop app more than one person commented on how limiting it is for o1 Pro to only have access to a single open file in Cursor here's a walkthrough of how you can provide o1 Pro with your FULL CODEBASE as context instead of just a single file: 1. Write a Python function that concatenates full codebase into a single snapshot in a .txt file (link in comment) 2. Open that "codebase_snapshot.txt" in a separate Cursor pane 3. Go to the ChatGPT app and ask it what context it has access to through Cursor - should say it has two files with one of them being the codebase snapshot and boom there ya go. o1 Pro has access to everything in your codebase full walkthrough here 👇

🔥 💻 🎥 How to provide o1 Pro with your FULL CODEBASE through the ChatGPT Cursor connection yesterday I recorded a video connecting o1 Pro to Cursor through the ChatGPT Desktop app more than one person commented on how limiting it is for o1 Pro to only have access to a single open file in Cursor here's a walkthrough of how you can provide o1 Pro with your FULL CODEBASE as context instead of just a single file: 1. Write a Python function that concatenates full codebase into a single snapshot in a .txt file (link in comment) 2. Open that "codebase_snapshot.txt" in a separate Cursor pane 3. Go to the ChatGPT app and ask it what context it has access to through Cursor - should say it has two files with one of them being the codebase snapshot and boom there ya go. o1 Pro has access to everything in your codebase full walkthrough here 👇

Dan McAteer

99,719 views • 1 year ago

Playing Pokemon with LLMs became a benchmark, but what about Super Mario? Turns out Google DeepMind Gemini 2.0 Flash can play Super Mario in real-time due to its fast latency, multimodal input and long context! 🎮 Gemini 2.0 Flash receives screenshots of the game and then generates Python code (PyAutoGUI commands) for each screenshot to control the game for a short period (the next 1 or 2 seconds). Add a while loop to it and you have it play in real-time. 🤯

Playing Pokemon with LLMs became a benchmark, but what about Super Mario? Turns out Google DeepMind Gemini 2.0 Flash can play Super Mario in real-time due to its fast latency, multimodal input and long context! 🎮 Gemini 2.0 Flash receives screenshots of the game and then generates Python code (PyAutoGUI commands) for each screenshot to control the game for a short period (the next 1 or 2 seconds). Add a while loop to it and you have it play in real-time. 🤯

Philipp Schmid

153,086 views • 1 year ago

introducing Gemini Omni 1.1 Flash this model brings a new suite of creative controls and generative video capabilities to developers - extend scenes for longer storytelling - specify first and last frames - draft videos more efficiently in 360p - upscale up to 4K resolution - add video references in your multimodal input now available via the Gemini API and in AI Studio

introducing Gemini Omni 1.1 Flash this model brings a new suite of creative controls and generative video capabilities to developers - extend scenes for longer storytelling - specify first and last frames - draft videos more efficiently in 360p - upscale up to 4K resolution - add video references in your multimodal input now available via the Gemini API and in AI Studio

Google AI Studio

191,330 views • 11 days ago

Really happy to see the interest around our “Hands-on with Gemini” video. In our developer blog yesterday, we broke down how Gemini was used to create it. We gave Gemini sequences of different modalities — image and text in this case — and had it respond by predicting what might come next. Devs can try similar things when access to Pro opens on 12/13 🚀. The knitting demo used Ultra⚡ All the user prompts and outputs in the video are real, shortened for brevity. The video illustrates what the multimodal user experiences built with Gemini could look like. We made it to inspire developers. When you’re building an app, you can get similar results (there’s always some variability with LLMs) by prompting Gemini with an instruction that allows the user to "configure" the behavior of the model, like inputting “you are an expert in science …” before a user can engage in the same kind of back and forth dialogue. Here’s a clip of what this looks like in AI Studio with Gemini Pro. We’ve come a long way since Flamingo 🦩 & PALI, looking forward to seeing what people build with it!

Really happy to see the interest around our “Hands-on with Gemini” video. In our developer blog yesterday, we broke down how Gemini was used to create it. We gave Gemini sequences of different modalities — image and text in this case — and had it respond by predicting what might come next. Devs can try similar things when access to Pro opens on 12/13 🚀. The knitting demo used Ultra⚡ All the user prompts and outputs in the video are real, shortened for brevity. The video illustrates what the multimodal user experiences built with Gemini could look like. We made it to inspire developers. When you’re building an app, you can get similar results (there’s always some variability with LLMs) by prompting Gemini with an instruction that allows the user to "configure" the behavior of the model, like inputting “you are an expert in science …” before a user can engage in the same kind of back and forth dialogue. Here’s a clip of what this looks like in AI Studio with Gemini Pro. We’ve come a long way since Flamingo 🦩 & PALI, looking forward to seeing what people build with it!

Oriol Vinyals

180,996 views • 2 years ago

We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:

We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:

Google AI Developers

108,801 views • 4 months ago

"Designers will realize—all this back and forth, screenshots, redlines, 50 pixels off—they could just send it to Cursor and it's fixed." As the head of design at Cursor, Ryo Lu is at the cutting edge of designers who ship code instead of mocks. In our new episode, he showed me: ✅ His retro OS (the best vibe app I've seen) ✅ Demo: How he designs & builds with Cursor ✅ How the Cursor team ships products Some quotes from Ryo: "We prototype in Cursor after initial exploration. It lets us interact with real states. It feels a lot more real than static mocks." "Start with one simple app, then keep building. I asked the agent 'what if we make it more retro?' and just kept going from there." "At Cursor, roles between designers, PMs, engineers are muddy. We use our unique strengths and let AI agents tie everything together." Watch now: Also available on: Spotify: Apple: Newsletter:

"Designers will realize—all this back and forth, screenshots, redlines, 50 pixels off—they could just send it to Cursor and it's fixed." As the head of design at Cursor, Ryo Lu is at the cutting edge of designers who ship code instead of mocks. In our new episode, he showed me: ✅ His retro OS (the best vibe app I've seen) ✅ Demo: How he designs & builds with Cursor ✅ How the Cursor team ships products Some quotes from Ryo: "We prototype in Cursor after initial exploration. It lets us interact with real states. It feels a lot more real than static mocks." "Start with one simple app, then keep building. I asked the agent 'what if we make it more retro?' and just kept going from there." "At Cursor, roles between designers, PMs, engineers are muddy. We use our unique strengths and let AI agents tie everything together." Watch now: Also available on: Spotify: Apple: Newsletter:

Peter Yang

108,220 views • 9 months ago

AI agents are becoming increasingly capable of taking actions beyond the chat window and interacting with tools in the real world, such as web browsers. We explored this capability by having an AI agent present one of our interactive web-based demos. In this video, it's presenting our election interference demo. This agent is a Cursor coding agent and is equipped with tools to read and interact with the browser (using Playwright) and perform text-to-speech (with ElevenLabs), in addition to the standard Cursor tools.

AI agents are becoming increasingly capable of taking actions beyond the chat window and interacting with tools in the real world, such as web browsers. We explored this capability by having an AI agent present one of our interactive web-based demos. In this video, it's presenting our election interference demo. This agent is a Cursor coding agent and is equipped with tools to read and interact with the browser (using Playwright) and perform text-to-speech (with ElevenLabs), in addition to the standard Cursor tools.

CivAI

18,428 views • 9 months ago

New generative UI experiences in the Google Gemini and AI Mode in Search use Gemini 3’s multimodal understanding capabilities to make entire user interfaces for you from scratch — dynamically delivering what you need in a visual and interactive way. Google Research software engineer Yaniv Leviathan shares more about the process of building generative UI (hint: so much fun that the team couldn't stop playing with it) and how he's been using it so far.

New generative UI experiences in the Google Gemini and AI Mode in Search use Gemini 3’s multimodal understanding capabilities to make entire user interfaces for you from scratch — dynamically delivering what you need in a visual and interactive way. Google Research software engineer Yaniv Leviathan shares more about the process of building generative UI (hint: so much fun that the team couldn't stop playing with it) and how he's been using it so far.

Google

138,435 views • 9 months ago