Sn Staff Research Engineer @GoogleDeepMind | Gemini MultiModal & i18n Research | 🦋@roopalgarg | Views are my own
Austin, TX
Joined March 2010
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📢 Excited to unveil our latest research, ImageInWords (IIW)! 🚀We're pushing the boundaries of image descriptions with a new seeded, sequential, human-in-the-loop approach producing SOTA, articulate, hyper-detailed descriptions.
arXiv: arxiv.org/abs/2405.02793 🧵1/12
Roopal Garg retweeted
Four Gemini 4 Argon agents beat Minecraft from scratch in 27 hours.
Operating in a sandbox using only code and text, they wrote 2,783 programs, divided up jobs over chat, shared notes, and debugged errors together - all with no human help ↓
xitter.cf/maxencefaldor/status/2…
Roopal Garg retweeted
Published in Science today: Magic state cultivation works in practice on our Willow processor. We achieved a 40x error reduction, compared to without cultivation, and 99.99% fidelity. Learn how this addresses a critical resource bottleneck: goo.gle/4yr8V0H
Roopal Garg retweeted
Since launching in 2021, our Android Earthquake Alerts System has sent 1B+ alerts. Now we’re expanding the system from 98 to nearly 200 countries and regions.
Proud how this technology can help in moments that really matter. As one example, when the devastating earthquakes hit Venezuela this year, millions of people outside the epicenter got alerts and could take cover before the shaking began.
Read more below blog.google/products-and-pla…
Roopal Garg retweeted
A conversation with Sergey Brin, @joshwoodward, @tulseedoshi, and @melvinjohnsonp about Gemini 4 Argon, how we got here, and the path ahead!
Roopal Garg retweeted
It was super fun chatting with @OfficialLoganK @joshwoodward @tulseedoshi and Sergey about Gemini 4 Argon.
A conversation with Sergey Brin, @joshwoodward, @tulseedoshi, and @melvinjohnsonp about Gemini 4 Argon, how we got here, and the path ahead!
Roopal Garg retweeted
Looking forward to joining @theojaffee live at 11:30am PT to talk all things Gemini 4 Argon!! Tune in here: xitter.cf/i/broadcasts/1DxLdZLpy…
Roopal Garg retweeted
Today we're rolling out access to Gemini 4 Argon, our latest frontier model built to solve your hardest problems.
Starting today, it’s available globally for Google AI Ultra and Pro subscribers in @GeminiApp and AI Mode in Search, Ultra subscribers in @Antigravity, and for developers and enterprises via the API in @GoogleAIStudio and the Gemini platform.
At @Google, Argon is already accelerating progress across engineering and robotics:
💻 @GoogleChrome: Argon helped the Chrome team refactor a Chromium 6-million-line legacy codebase, completing months of work in just weeks. For Chrome’s billions of global users, this eliminated an entire category of browser crashes, unlocking the ability for live webpages to move fluidly between tabs, side panels, and floating windows without reloading.
🚀 Software engineering: Googlers are using Argon to ship code faster than ever. In @Antigravity, they increased agentic code submissions by over 35% with rollbacks cut by nearly a third.
🤖 Robotics at @GoogleDeepMind: By watching video of a human playing cornhole, Argon autonomously built simulation code that taught it how to play, and helped Apptronik's Apollo humanoid sink seven straight shots.
Roopal Garg retweeted
Gemini 4 Argon is amazing for knowledge work and coding - and it’s super fun to build with! We asked it to create this wizard chess game and it's so cool to see Argon's physics understanding & 3D modelling capabilities, makes me nostalgic for Battlechess on the Amiga - fun times!
Argon is rolling out today to Google Ultra and Pro subscribers in the @GeminiApp and Search, and Ultra subscribers in @antigravity! More info & full availability in the blog: blog.google/innovation-and-a…
Roopal Garg retweeted
Today we are rolling out Gemini 4 Argon globally in the Gemini API, to Pro + Ultra in Gemini App, and Ultra subs in Antigravity!
Argon is a huge step forward for Gemini, and a labor of love. This model has been battle tested by over 100,000 people at Google over the last month, with so much new innovation, ambition, and hard work baked into this release. The team has been heads down over the last 6 months working to make this possible across the stack (research, infra, safety, eng, etc).
We rolled the model out to cyber defenders as part of our fairwind program and early access customers over the last 2 weeks, it has been amazing to see and talk to folks who are now using this model daily. Seeing the models writing capability, raw knowledge and persistence for coding, paired with new features like 1M token output when the model needs to work more has gotten me even more excited about our path ahead.
This is just the start of the Gemini 4 era. As you saw with 3.5, 3.6, 3.7, and 3.8 Flash, our iteration speed with Gemini is fast : ) Now with Gemini 4 Argon to work from, I am cannot wait to see the progress continue, and most importantly see what this new model enables for the world.
This is such a special moment in the arc of technology, as millions of people everyday tackle problems they could never have thought possible before. Gemini 4 Argon was built to help you tackle the hardest problems. I have personally felt this spark with Argon and hope you do too. Onwards!!
Roopal Garg retweeted
Excited to launch Gemini 4 Argon, designed to help with hardest coding and knowledge work tasks with its frontier capabilities..
For developers and enterprises, it’s available in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google Antigravity, and Ultra and Pro subscribers in the Gemini app and Search.
Read more: blog.google/innovation-and-a…
Roopal Garg retweeted
We’re excited to introduce Google Fitbit Edge today! It’s a lightweight health and fitness tracker with a week-long battery life and a range of different bands to fit your own style — along with the Google Health Coach, it’s an incredible way to change your relationship with your health.
Roopal Garg retweeted
Today at Google Cloud’s Gemini at Work event, we announced Gemini, a new single universal agent for work that has all of your business context and can be used for everything from knowledge work to answering questions, and content creation to coding, all from a single prompt box.
It’s built around core architectural principles:
☑️ Unified Agent: Gemini can answer questions, do knowledge work and generate code from a single prompt box.
☑️Access: Gemini is web-based and can be accessed from any device and integrated into third-party applications. It can also operate without a dedicated user interface.
☑️Persistent Execution: It runs in the cloud, which means it maintains a single set of memories, context and one personalization graph no matter where you access it.
☑️Multi-Agent Orchestration: Gemini can create sub-agents to tackle multi-step tasks and can also act as a coworker agent with a defined role and its own dedicated identity
☑️Context: Gemini knows your tools, data, and work history and learns how you work the more you use it.
☑️Model Choice Flexibility: It orchestrates across multiple models to deliver optimal quality and lower your costs.
Roopal Garg retweeted
Our SynthID technology lets you easily verify if an image, video, or audio file is AI-generated, and today we’re expanding access.
Now anyone can go to synthid.com to check files for a SynthID watermark — whether they were generated by us or industry partners like @OpenAI, @nvidia, Kakao, and, coming soon, @Apple.
To date, we’ve watermarked 180 billion images and videos and more than 240,000 years of audio content, regularly handling 1 million verification requests daily.
This new portal joins our built-in verification features already live in Search, @GeminiApp, and @googlechrome.
Roopal Garg retweeted
The most important thing we can apply AI to is improving medicine and human health - very excited about this partnership with the CZI and the Virtual Biology Initiative!
Today, Isomorphic Labs joins the Virtual Biology Initiative (VBI) as a founding member.
We are helping build an open resource for the global research community to accelerate how we understand and treat disease.
Read more here: isomorphiclabs.com/articles/…
Roopal Garg retweeted
BREAKING: The U.S. government, Google, Meta & Zuckerberg-backed @biohub are launching a $1.8B push to build the data layer for AI biology.
The goal is to create the largest open, AI-ready biological dataset ever assembled, giving models the data needed to better predict how biology works & ultimately help treat disease.
The coalition is massive:
› Biohub committed $500M
› DOE is investing $500M+ across measurement, modeling & compute
› NIH is bringing $500M+ of federally funded datasets & repositories
› Meta, Google DeepMind & @IsomorphicLabs are jointly investing another $300M
This is effectively an infrastructure buildout for AI biology.
Instead of just building bigger models, they’re attacking one of the biggest bottlenecks in biology AI today, generating standardized, high-quality biological data at massive scale & making it openly available to researchers.
$1.8B committed to turning biology into something AI can increasingly model, predict & engineer.
