Introducing Genie 4
Genie 4 is a major world model leap, introducing photorealism, audio modality, and Gemini integration. It enables real-time, interactive simulations for robotics, film pre-vis, and education.
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Google Developers
Digests from Google Developers
🔊 Voice design and voice replication with Gemini 3.8 Flash TTS
Learn how to design custom voices or replicate your own using Gemini 3.8 Flash TTS. This guide covers voice design, replication, and integration via the Gemini API.
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Design and replicate voices with Gemini 3.8 Flash TTS
Gemini 3.8 Flash TTS revolutionizes synthetic speech with voice replication and design. Programmatically generate multi-speaker podcasts and custom voices via the Gemini API.
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🧰 Builders building with Gemini Audio
Builders explore Gemini Audio, Gemma, and Lyria for advanced applications. Learn how to use Gemma for offline capabilities and integrate Gemini 3.8 via WebSockets for real-time voice tools.
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🎵 Turning motion into music with Gemini
Creator utilized Google AI Studio, Google Antigravity, and Gemini to shift raw accelerometer data into audio responding to every tilt and gesture, creating a browser-based digital synthesizer.
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📖 Explore custom voice narration with Gemini 3.8 Flash TTS
Explore custom voice narration using Gemini 3.8 Flash TTS. This demo shows how to apply specific vocal affectations and select narrators via the Gemini API for dramatic, personalized audio content.
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Turning raw hardware sensor data into music with Gemini
Learn how to turn raw laptop sensor data (tilt, shake, gesture) into live music. Using Gemini and open-source APIs, the speaker built a browser-based digital synthesizer that requires no extra hardware.
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Gemini 4 Argon in Antigravity
Gemini 4 Argon enhances Antigravity, an agent-first platform, allowing users to build complex systems—from 3D pagodas to playable hardware—using only text prompts and multi-agentic workflows.
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Gemini 4 Argon: What’s new and what’s next
Gemini 4 Argon launches with 1 million output tokens and advanced capabilities for code migration (Fortran to Rust) and deep debugging. Learn how this model is changing coding, cybersecurity, and knowledge work.
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Gemini 4 Argon and Google Antigravity: From 2D concept to 3D cathedral
Watch how Gemini 4 Argon and Antigravity reconstruct a photorealistic 3D cathedral in Blender from a flat 2D concept image using the Model Context Protocol (MCP).
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🤖 Operating real hardware with Gemini AI
Learn how Gemini AI was used to build a 3D web controller, enabling real-time operation of a physical robot arm from 1,700 miles away by transmitting joint coordinates.
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Building low-latency remote robotics with Gemini
Learn how to build low-latency remote robotics controls over 1,700 miles using Gemini and custom 3D web controllers. See how AI handles motor position scripting.
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Building with Gemma 4
Discover how Gemma 4 enables powerful, private AI builds that run entirely on-device. Learn about deploying open models for robotics, remote data analysis, and offline coding.
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📷 Searching for images from text with EmbeddingGemma 2
Discover how EmbeddingGemma 2 enables advanced, offline multimodal search on mobile devices. Use natural language to find photos and specific moments in videos using semantic similarity.
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Real-time golf swing coaching with Gemini 3.8 Live
See how Gemini 3.8 Live processes 120 fps motion capture data to deliver real-time, conversational coaching cues for improving a golf swing.
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🧶 From Gemini code to textile art
Learn how Gemini and Google AI Studio transform code into physical textile art. This project demonstrates embedding meaning into knitting using binary algorithms.
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Turning code into fabric with Gemini
Discover Computational Knitting: a project that uses Gemini AI to translate algorithms and binary code into unique, physical textiles. Learn how digital data can be woven into fabric.
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Top 3 new model launches at Gemini Audio at Night
Discover the top 3 audio model launches from Gemini Audio at Night, including personalized TTS, 100+ language live translation, and multimodal function calls for developers.
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Introducing EmbeddingGemma 2: An open model for natively multimodal embeddings
EmbeddingGemma 2 is a lightweight, open model for natively multimodal embeddings. It maps text, images, video, and audio into a single unified embedding space, enabling powerful, fully offline search and RAG pipelines on edge devices.
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🧾 Building a voice-to-print mirror with Gemini
Learn how to build a voice-to-print mirror using Gemini, Nano Banana, and Google AI Studio. This custom journaling device transforms spoken memories into physical keepsakes, proving that complex ideas can be brought into reality.
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