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✍️tldraw is using Gemini 3 Flash to power its natural language computer, tldraw computer. Networks of components on an infinite canvas each use Gemini to process data and generate content that flows into other components. These flows are faster, smarter, and more reliable with Gemini 3 Flash.

Google AI Developers

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12,450 просмотров • 6 месяцев назад •via X (Twitter)

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Junie ranked top on SWERebench using Gemini 3 Flash, spending ~10x fewer tokens than other agents while maintaining high performance. We’re offering free access to Gemini 3 Flash for one week, until next Monday. Try it out and let us know what you think:

Junie ranked top on SWERebench using Gemini 3 Flash, spending ~10x fewer tokens than other agents while maintaining high performance. We’re offering free access to Gemini 3 Flash for one week, until next Monday. Try it out and let us know what you think:

JetBrains

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Character Consistency with Google Veo 3 now in Gemini API! 🤯 Use Images as starting frame to keep character consistency! Here is an python script on how to make consistent viral videos, like you see on TikTok or Youtube shorts: 1. Based on an idea, it generates a series of scene prompts using Gemini 2.5. 2. Generates a Image based on the first scene using Imagen 3 3. For each scene prompt Veo 3 (fast) generates a video clip. 4. Uses Gemini 2.0 image editing to make sure the starting images fits the scenes 5. Combine the individual video clips into a single final video using MoviePy Veo 3 starts at $0.75 / second and Veo 3 at $0.40 / second with audio. ! 📹 🔉 Prompt: “A realistic energy drink commercial for athletes.”

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Philipp Schmid

15,863 просмотров • 11 месяцев назад

Gemini-powered robot can now effectively debug itself! I've been obsessed with two main questions in robotics: can robots learn from their own mistakes without humans in the loop, and how much can we leverage synthetic data? Spoiler: yes, and it's surprisingly elegant once you have the right primitives in place. The architecture is fairly simple (and optimized for GPU_Poor users): Component I: Gemini Brain ♊️ - Gemini 2.0 Flash analyzes all training episodes through both camera perspectives - Gemini 2.0 Pro creates a summary of training data, highlighting biases, limitations, etc. - Train policy p0 on this initial data, run evaluation episodes - Ask Gemini to categorize successes vs. failures (more insightful than you'd expect) - Based on both analyses, Gemini generates specific augmentation recommendations What's interesting here isn't that we're using LLMs for robotics - it's that we're closing the loop between perception, failure analysis, and targeted data generation. Component II: Data Generation with Scene Consistency The tricky part was maintaining consistency across both camera perspectives while generating new data. Three current augmentations: - Frame flipping and polarity reversals - Grounded-SAM + OpenCV for object color manipulation - Gemini to identify empty space and generate distractions in the scene …and repeat, ha! I'm using the so100 robot arm and Sarah’s Vintage from Hugging Face. And the APIs and models in Gemini family are Ace! Thank you Logan Kilpatrick Patrick Loeber and team for this. In thread The Circus of Making It Actually Work🧵:

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Shreyas Gite

47,245 просмотров • 1 год назад

Gemini 3 Flash is now available in MagicPath ⚡ From our earlier testing, it’s surprisingly strong at visual design for its size, and it’s fast! My recommendation: use it as your first-pass model to explore ideas, then switch to a bigger model for editing + refinements.

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Pietro Schirano

11,427 просмотров • 7 месяцев назад

With the launch of Nano Banana Pro, we're also rolling out the ability for Gemini users to check whether an image was generated with or edited by Google AI using SynthID, our digital watermarking technology. Now you can upload any image into the Gemini app and ask "Is this AI-generated?" Gemini then scans the image for the imperceptible SynthID watermarks that are embedded into all Google AI-generated images - including those by Nano Banana Pro! Learn more about Google’s efforts to increase AI transparency:

With the launch of Nano Banana Pro, we're also rolling out the ability for Gemini users to check whether an image was generated with or edited by Google AI using SynthID, our digital watermarking technology. Now you can upload any image into the Gemini app and ask "Is this AI-generated?" Gemini then scans the image for the imperceptible SynthID watermarks that are embedded into all Google AI-generated images - including those by Nano Banana Pro! Learn more about Google’s efforts to increase AI transparency:

Google Gemini

190,513 просмотров • 7 месяцев назад

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Sider

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Santiago

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Are we entering the era where instead of paying an influencer to promote its products, a brand will just generate one with AI that matches their aesthetic? These are some experiments this morning using Flux and Runway Gen-3 Alpha.

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Google DeepMind

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Alright I’m done. It has been 3 months since I filed a claim with you UPS because you guys DROPPED my computer that I shipped and paid a lot of money to have professionally packaged and insured by YOU guys. Apparently none of that matters though. This is the computer I use to make a living and because of you I’ve had to use an old and barely functional pc and borrow other people’s computers and pay out of pocket for the last 3 months to make other options work while I wait for you guys because you guys keep stalling the claim. I took it to a computer company like you guys wanted where it was declared A TOTAL LOSS. Attached is the video of YOU guys dropping it (with sound so you can hear everything breaking). All other pictures and documents are in the claim I’ve made that’s been getting pushed off and like ruining my life for the past quarter of the year… REPLACE MY COMPUTER YOU GUYS BROKE IT!!!

Birlap

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Vibe coded an infinite 3D tunnel scroll using Three.js with object pooling and GSAP animations, all created with Google Gemini 3 Pro AI in under 30 minutes :D It’s a fully procedural, mathematically generated world that renders endlessly as you scroll up and down without eating your device memory (that's what at least AI said 😆) Live: Code: now returning to the job that funds my ability to overwork myself :)

Vibe coded an infinite 3D tunnel scroll using Three.js with object pooling and GSAP animations, all created with Google Gemini 3 Pro AI in under 30 minutes :D It’s a fully procedural, mathematically generated world that renders endlessly as you scroll up and down without eating your device memory (that's what at least AI said 😆) Live: Code: now returning to the job that funds my ability to overwork myself :)

The Bugged Dev

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Fully automatic Relight video in AI only using ComfyUI with SD15, SDXL, Flux, Ic-light, Gemini, Animatediff etc... We are creating crazy stuff at Kartel.ai , first plaftorm to book Ai Artist, where you can find me and other AI artist. And also the capture was made in the volumetric studio of that allow to create amazing content combine with genAI.

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Fully automatic Relight video in AI only using ComfyUI with SD15, SDXL, Flux, Ic-light, Gemini, Animatediff etc... We are creating crazy stuff at Kartel.ai , first plaftorm to book Ai Artist, where you can find me and other AI artist. And also the capture was made in the volumetric studio of that allow to create amazing content combine with genAI.

Lovis Odin

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ByteDance just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.

ByteDance just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.

Rohan Paul

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