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Google for Developerstechnology

Order in any language with Gemini 3.5 Live Translate

See how Gemini 3.5 Live Translate and Gemini 3.5 Transcribe work together to help an English speaker place a sushi order with a Japanese-speaking host, translating the conversation in real time. Try it now at Google AI Studio. Have questions? Drop them in the comments. 🔗Resources: Blog → https://goo.gle/4jbKjoM Developer documentation → https://goo.gle/3TPrgWR Subscribe to Google for Developers → https://goo.gle/developers Speakers: Sam Goldstein Products Mentioned: Gemini

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Google for Developerstechnology

🤖 Operating real hardware with Gemini AI

When your friend has a robot arm in another state, you find a way to use it. Watch how Matías and David used Gemini to bridge 1,700 miles, building custom 3D web controllers that operate physical hardware in real time. 🔗 Explore the build → https://goo.gle/3U909Gu Subscribe to Google for Developers → https://goo.gle/developers Products Mentioned: Gemini, Google Antigravity, Google AI Studio Speakers: Matías Piña Aguilera, David Maliglowka

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Google for Developerstechnology

Building low-latency remote robotics with Gemini

Working 1,700 miles apart, Matías and David used Google Antigravity, Google AI Studio, and Gemini to construct a remote robotics framework powered by custom 3D web controllers. Watch to discover how they implemented low-latency hardware controls to operate physical machinery across thousands of miles. Try building today → https://goo.gle/4ya3rr3 Subscribe to Google for Developers → https://goo.gle/developers Products Mentioned: Gemini, Google Antigravity, Google AI Studio Speakers: Matías Piña Aguilera, David Maliglowka

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Google for Developerstechnology

Building with Gemma 4

Gemma 4 is the most capable model family you can run on your hardware. They complement our Gemini models, giving our developer community the industry's most powerful combination of both open and proprietary tools. Watch for inspiration for your next Gemma build, or even just to get to know Reachy the offline robot (running LFG-3 on a Reachy Mini and NVIDIA DGX Spark). Learn more about Gemma here: https://goo.gle/4dxj30m, and share what you’ll build with an AI model that runs directly on-device in the comments below! 🔗Resources: Community Builds Featured in this Video *Wearable Robotic Arm → https://goo.gle/4rVOib9 *PenguinAgent → https://goo.gle/3VVfTNO *CodeBuddy (Offline Coding) → https://goo.gle/4y9tRsM Models & Open Source Attributions *Custom Model: LFG-3 → https://goo.gle/3UbydBQ *Speech Recognition: LFG-3 fuses NVIDIA Parakeet → https://goo.gle/3TTzn4T, licensed under CC BY 4.0 → https://goo.gle/4ic5Tby *Text-to-Speech: This project uses Kyutai TTS 1.6B → https://goo.gle/4hBVrtR, licensed under CC BY 4.0 → https://goo.gle/4ic5Tby Subscribe to Google for Developers → https://goo.gle/developers Speakers: Glenn Cameron Products Mentioned: Gemma

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Google for Developerstechnology

📷 Searching for images from text with EmbeddingGemma 2

See how EmbeddingGemma 2, Google's lightweight, open multimodal embedding model, lets you search your photos and videos using natural language queries in a system that can run completely offline on your phone. Download the Google AI Edge Gallery app from the Play Store or App Store to try it yourself. Have questions? Drop them in the comments. 🔗Resources: Build cross-platform apps with Google AI Edge → https://goo.gle/47pNa6x Subscribe to Google for Developers → https://goo.gle/developers Speakers: Ivan Llanos Products Mentioned: Gemma

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Y Combinatorbusiness

How Jeetu Patel Runs Cisco Like the World’s Largest Startup

Cisco is building AI infrastructure, from networking GPU clusters to securing agents, with its hyperscaler AI business reaching $9.3 billion in orders in two years. Cisco President and Chief Product Officer Jeetu Patel joins Y Combinator Managing Partner Jared Friedman to discuss bringing startup speed to 32,000 engineers, why AI should unlock new ideas rather than just cut costs, and why he expects to need more engineers, not fewer. He also explains why he doesn’t think we’re overbuilding data centers and shares career lessons on choosing learning over ego. Chapters: 00:00 — Cisco’s Bet on AI 03:38 — Running Cisco Like a Startup 06:45 — The Infrastructure AI Agents Need 10:00 — Getting 32,000 Engineers to Embrace AI 14:07 — Bringing AI to Hardware and Silicon 17:15 — Inside the AI Data Center Buildout 21:27 — Are We Overbuilding AI Infrastructure? 25:10 — Building Trust in AI Agents 28:18 — From India to Waiting Tables at Sizzler 32:12 — Choosing Learning Over Ego 35:31 — Ambition, Teamwork, and Compounding 39:31 — Don’t Squander Your Opportunity Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs

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Google for Developerstechnology

Real-time golf swing coaching with Gemini 3.8 Live

See Gemini 3.8 Live in action as it turns high-speed motion capture data into real-time, conversational coaching cues and interactive slow-motion replays to help improve a golf swing, powered by Google DeepMind’s latest live model. Try Gemini 3.8 Live today! 🔗Resources: Blog → https://goo.gle/4ziuJMW Developer documentation → https://goo.gle/4y7z7NL Have questions? Drop them in the comments. Subscribe to Google for Developers → https://goo.gle/developers Speakers: Sam Goldstein Products Mentioned: Gemini

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Fireshiptechnology

A $6.3 billion open-weight model just got embarrassed by the French...

KERNEL is the simplest way to let your agents act on any website. Use code: FIRESHIP to get a free upgrade to the Hobbyist tier ($30 value) at https://kernel.sh/fireship Mistral, Reflection AI, and Moonshot all made big moves in the open-weight race this week. Let's dive in. Want more Fireship? 🗞️ Newsletter: https://bytes.dev 🧠 Courses: https://fireship.dev

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Google for Developerstechnology

🧶 From Gemini code to textile art

Carrie transforms code into textile art using Google AI Studio and Gemini, bringing custom yarn designs to life inspired by binary algorithms. 🔗 Explore the build → https://goo.gle/4iN1AEx Subscribe to Google for Developers → https://goo.gle/developers Products Mentioned: Gemini, Google AI Studio Speaker: Carrie Sun

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Google for Developerstechnology

Turning code into fabric with Gemini

Look what you can do! Explore the intersection of binary coding and fabric-making with Computational Knitting. Built with Gemini, Carrie's project transforms algorithmic processes into unique textile designs knit on a computerized knitting machine. Watch as she brings these digital designs to life stitch by stitch on a computerized knitting machine. Try building today → https://goo.gle/4djpF2k Subscribe to Google for Developers → https://goo.gle/developers Products Mentioned: Gemini, Google AI Studio Speaker: Carrie Sun

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Google for Developerstechnology

Top 3 new model launches at Gemini Audio at Night

Catch up on the highlights from Gemini Audio at Night in San Francisco! Google DeepMind’s Paige Bailey breaks down the top 3 developer takeaways from the event and shows how these new audio models come to life through hands-on demos. Discover how you can build with: *Gemini 3.8 TTS models: Text-to-speech with voice personalization, including custom emotions and resonance. *Gemini 3.5 Live Translate: Real-time translation for audio and video feeds across 100+ languages. *Gemini 3.8 Live models: New multimodal features, including function calls and other features built specifically for developers. Learn more about Gemini Audio and let us know what you build in the comments → https://goo.gle/3TCXNzx Subscribe to Google for Developers → https://goo.gle/developers Speaker: Paige Bailey Products Mentioned: Gemini

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Google for Developerstechnology

Introducing EmbeddingGemma 2: An open model for natively multimodal embeddings

Sebastian Russo, Ivan Llanos, and Sahil Dua from Google DeepMind introduce EmbeddingGemma 2, a lightweight open model that maps text, images, video, and audio into a single unified embedding space. At just 740 million parameters, EmbeddingGemma 2 is engineered for on-device use cases. Watch this video to discover: *EmbeddingGemma 2’s modular architecture with optional audio and vision encoders *Instant media search and video moment retrieval running fully offline on device *Retrieval-augmented generation (RAG) pipelines where sensitive data never leaves the hardware *Fine-tuning for domain-specific use cases 🔗 Resources: Learn about the model → https://goo.gle/4hE3Lb9 Read the developer guide → https://goo.gle/4hFnyqO Explore on-device embeddings with Google AI Edge → https://goo.gle/3VSXqS1 Download model weights from HuggingFace → https://goo.gle/4i45qbp Get started with the Gemma Cookbook → https://goo.gle/3TCsqVO Have questions? Drop them in the comments. Subscribe to Google for Developers → https://goo.gle/developers Speakers: Sebastian Russo, Ivan Llanos, Sahil Dua Products Mentioned: Gemma, Google AI Edge

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