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Mountain View, CA
Joined February 2009
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Introducing Tabletop, a collaborative space from @GoogleLabs where you can create custom tools to build, plan, and do more with your friends, family, or club.
Send an invite to your group and start a shared hub where everyone can contribute simultaneously for your next trip, potluck, or fantasy league. You can create live dinner polls, trip itineraries, expense splitters, and sports brackets tailored to your group.
An afternoon filming rubber bands, buckets, and glasses around the house (starring his cat) turned into a playable instrument when @alexanderchen used Carbon in @Antigravity to find the pitch of every clip and map them to a MIDI synth 🎹
Centuries of art and history come together in this interactive guide to tarot crafted by @soumyadesign with Carbon in @Antigravity.
See the cards rendered as tapestries with realistic fabric physics, hear the shuffling of the deck, and then draw three cards ✨
The Gemini app is now available directly on Apple CarPlay. iOS users can have free-flowing conversations with Gemini Live right from their car’s display, hands-free.
Use Gemini in CarPlay to catch-up on what you have coming up in your schedule, talk through your inbox, or brainstorm out loud.
Tap the Gemini icon on your CarPlay display on your next drive to try it out 🚘
PINCH ME. IS THIS REAL??! 🥹
Having @sundarpichai appreciating one of my little experiments was definitely not on my 2026 bingo card.
What a moment. ❤️
This is what Google's Gemini 4 Carbon is capable of.
It built an interactive 19th-century-inspired Parisian physics laboratory, Analyse Spectrale (Mod. M1-2-15), using nothing but a reference image.
It features 92 machined brass, copper, and borosilicate parts, a live Beer-Lambert Rankine vortex, an axial exploded view, and an archival Bento UI with a 60 FPS SVG Watt indicator and schematic plate.
The materials look incredibly realistic, and it even came up with the entire UI design on its own. I didn't provide any design references for that.
Gemini models are getting so good at 3D and physics 🤯
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We're introducing the Gemini Decisions API in @GoogleAIStudio, powered by our new Gemini Decision 1 model.
Instead of generating a text response token by token, Gemini Decision 1 evaluates your input (across text, images, audio, video, and PDFs) against up to 1,000 questions to make fast, confident decisions in a single pass, with zero output tokens billed.
Here's a look at how it works 🧵
So how do your questions turn into a decision?
Instead of asking a model to describe a photo, you give it a checklist of yes/no, multiple-choice, and rating questions so it knows what to check and what action to take.
Here, Gemini Decision 1 scans 100 delivery photos in 4.5 seconds (nearly 4x faster than Gemini 3.5 Flash-Lite), answering 16 questions per photo at once:
📦 Is the box damaged? (yes/no)
🌧️ Is it under a porch? (yes/no)
⭐ What's the delivery quality? (0 to 3 rating)
⚡ What happens next? (routes to a claim review)
Try the interactive demos yourself in @GoogleAIStudio and read more on the blog ↓ goo.gle/4zQjRq7
Google retweeted
Today we’re launching the Gemini Decisions API, powered by our new Gemini Decision 1 model in @GoogleAIStudio.
Instead of generating text token by token, it’s built for closed-set choices scoring up to 1,000 questions across text, images, audio, video + PDFs in a single pass. A few details:
- 3 decision types: yes/no, multiple choice (up to 255 options) + rubric scoring
- $0.10 / 1M input tokens with $0 billed for output tokens (~5x cheaper than Flash-Lite)
- leads on several benchmark evals with lowest calibration error
Google teams are already building with it, below is a look at Stitch Rapid designing a full product flow in seconds (1x speed)
Learn more ↓ goo.gle/4zFmxqq
Introducing Gemini Robotics 2.5, our most capable vision-language-action (VLA) model to date. 🤖
It increases both the breadth of skills a robot can learn and the speed at which it acquires them — helping robots step out of the lab and into real-world environments.
Learn more about Gemini Robotics 2.5, now rolling out to our robotics partners 🧵
In testing Gemini Robotics 2.5, we evaluated the model across 200 distinct tasks — such as serving food with tongs, tying a bow on a gift box, and pipetting a liquid. These tasks represent a step toward human-level dexterity by combining a number of skills, including advanced tool use and handling delicate objects with ease.
Our evaluations also show significant increases in task precision, robustness, and speed. Compared to previous baselines, Gemini Robotics 2.5 achieves a 30% to 100% higher success rate depending on the type of task, while completing tasks 20% to 30% faster.
Gemini 4 Argon greatly accelerated the development of Gemini Robotics 2.5.
It acted as a simulation engine, teaching robotics new skills that are usually dependent on massive amounts of physical data.
Gemini Robotics 2.5 is now rolling out to our robotics partners. Learn more. goo.gle/3USg1O2
