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 ses 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.

Gemini 4 Argon is already helping researchers unlock new scientific breakthroughs across fusion, biology, and quantum computing:

⚛️ In nuclear fusion, Argon helped discover a broader class of counterexamples to Grad's conjecture — a nearly 60-year-old assumption in plasma benchmarks for stellarator 3D magnetic fields.

🧬 In biology, it designed five novel, lab-verified serine esterases in a matter of hours — enzyme engineering that would previously have taken months. This work demonstrates the potential for rapid acceleration in fields such as biomanufacturing, green chemistry, and drug development.

🩺 In rare disease research, scientists at @GamowLabs used Argon to analyze de-identified genomes from newborns with rare developmental lung disorders — pinpointing a chromosomal rearrangement that routine software missed for years, and explaining why it went undetected.

🧮 In quantum computing, Argon translated our AlphaQubit error-correction decoder into a single optimized hardware kernel — nearly doubling inference throughput — and cut spacetime costs for a key quantum subroutine by more than 100x.

To further accelerate discovery, we're offering scientists and researchers a chance to get access to our highest usage tier in @antigravity free of charge for six months.

Apply here → goo.gle/4z0OCrZ

Learn more: goo.gle/4jfSznG

Protect yourself from popular scams, social engineering attacks, phishing, and more with Safe Browsing’s Enhanced Protection mode in Chrome. Enhanced Protection mode makes you more than 10 times safer from scams.

Here’s how to turn it on in @googlechrome:

Settings > Privacy and sechanced protection

Learn more ↓ goo.gle/4ie4IHo

"In some ways I view 2027 as a golden age of productivity." — @sundarpichai on the new Sources Podcast with @alexeheath. Check out the full episode, where they discuss Gemini 4 Argon, and Google's infrastructure scaling and long-term bets. ⬇️

“Step one, solve intelligence. Step two, solve everything else.” — @demishassabis, who was just named WSJ Magazine’s 2026 Technology Innovator for his lifelong quest to solve the world's mysteries with artificial intelligence. Read the full feature from the @WSJ ⬇️

Today, Google and Voltus announced an expanded agreement to build a 1-gigawatt (GW) virtual power plant across the PJM grid region, which serves 67 million people across 13 states and Washington, D.C. This agreement builds on a 100-megawatt agreement from earlier this year, and will unlock clean capacity in the region, while delivering direct savings to participating local homes and businesses.

This initiative reflects our commitment to actively bring new capacity to local grids while strengthening regional reliability and affordability. Learn more. goo.gle/4zS0Ymt

Following the trend, here are 780K+ human votes on how well LLMs can generate 3D objects from text using code. Our team had so much fun scrolling through the outputs.

Gemini 4 Argon takes #1, followed by GPT-6 Astra.

Explore all outputs, votes and rankings on benchmark.ai

Gemini is now available in @googlemaps navigation on CarPlay. Find the best place to park, report a traffic incident, or change your route with just a quick conversation.

Tap the Gemini icon in Google Maps CarPlay during your next drive to try it out 🚘

Gemini 4 Argon is the new top model on Ramp Accounting Bench.

It scores 61.1%, 10.6 points ahead of Opus 5.5. Its lead is largest on the hardest tasks.

Over the past year, the Discovery team at @GoogleDeepMind, in a project led by student researcher @dsantosmarco, has made new discoveries in one of the most beautiful open problems at the edge of computation: Finding the 6th Busy Beaver (BB) number.

While most AI math systems roblems, like theorems, this work tackles a different aspect of mathematical creativity: Discovering hidden problems.

For years, the BB Community has pursued one of theoretical computer science’s most captivating collaborative quests: finding the simplest programs that run the longest before halting. Because determining whether these programs ever stop is uncomputable, no universal algorithm can solve it, meaning new mathematical techniques need to be found and invented to make progress.

In this way, the BB challenge serves as an open ended domain for mathematical creativity and, in particular, a generator of hard math problems called Cryptids. These are tiny programs whose halting behavior is governed by and equivalent to deep, unsolved math problems in number theory, similar to the Collatz or Goldbach conjectures. Historically, the BB community had recognized ~20 Cryptids in BB(6), and the best problems were selected for the Busy Math Olympiad (BMO).

Building on their work, Marco built a pipeline powered by Gemini 4 Argon that:
1️⃣ Simulates raw Turing machine traces to compress recurring patterns.
2️⃣ Conjectures mathematical transition rules & runs synthetic experiments to test edge cases.
3️⃣ Proves the equivalence formally in Lean 4.

Using this pipeline, Marco and the team discovered 20 new potential Cryptids and verified 33 more machines previously studied in the BB community. All the proofs were open sourced and shared in the community discord channel and we hope that they will help the community to make progress towards resolving BB(6). We also contributed related halting/non-halting proofs directly to the community GitHub repository.

Finding these Cryptids shows hidden links between simple programs and number theory, and helps mathematicians map the limits of computation. I'm also excited about Gemini 4 Argon's ability to help researchers both solve hard problems and accelerate scientific discoveries, of which Busy Beaver is just one example.

Work led by our student researcher @dsantosmarco with paper contributions from @vivek_veeriah, @Dahoas1 , Andrew Bolt, @zuza777 , Satinder Singh, and myself with additional contributions from Hussain Masoom, @maxencefaldor , @MoritzFirsching and Petar Sirkovic.

Read more about it in our paper: arxiv.org/abs/2610.22603

In the first 72 hours of our Gemini 4 Argon launch, we processed nearly 25T tokens, about 3x what we processed in the same time frame for Gemini 3. See more from @sundarpichai’s conversation with @Kantrowitz on Big Technology Podcast ⬇️

Personal Intelligence is now rolling out for Gemini on Android Auto and in the coming months to cars with Google built-in, so you can get even better hands-free help on the road.

With your permission, Personal Intelligence securely connects information from the Google apps you l, Google Calendar, and Search — so you can make complex requests, get personalized recommendations, retrieve details from past conversations and more.

Google Public Sector is launching Gemini for government services to help federal, state, and local agencies streamline complex operations and better serve citizens.

This joins Gemini for legal, and Gemini for financial services, with more industries coming soon. Learn more. goo.gle/4dT0uE2

Today at the Google Cloud Public Sector Summit, we announced Gemini for government services, a purpose-built industry solution built around five core architectural components:
✔️Skills for Government Work: Reusable instructions and context, written by domain experts, that teach tasks while directly applying governing statutes and agency standard operating procedures.
✔️Open Access to Systems: Secure connectors link Gemini directly to core agency databases and applications—including @salesforce, @Oracle, and @ServiceNow—as well as authoritative federal sources like the Federal Register and eCFR.
✔️Partner Agent Integrations: Built-in capabilities from public sector software providers that agencies can deploy right away to handle complex operations like public records discovery and batch redaction under a central control plane.
✔️Governed Control Plane: A single, secure environment for compliance teams to set and enforce strict policies using VPC Service Controls, CMEK, and Assured Workloads.
✔️Model Choice Flexibility: It orchestrates across multiple models to deliver optimal quality and lower agency costs—routing high-volume document parsing and routine records sweeps to fast, low-cost models, while reserving high-reasoning models for complex policy analysis.

Doctors spend a significant amount of time during appointments gathering basic information. Google researchers are studying how AMIE, our experimental model system, can help doctors spend more time on collaborative care: addressing patient concerns, identifying symptoms, and next.

We sat down with two researchers behind AMIE to learn more about the project and where it’s headed ↓

goo.gle/4ssVpbH

How can healthcare workers focus more of their time on patients and less on paperwork?

In our latest episode of Dialogues on Technology and Society, @GoogleLabs VP @joshwoodward sits down with @EricTopol to talk about how technology can help alleviate healthcare worker burnout ic discovery by returning the "gift of time" to frontline care.

Watch the conversation → goo.gle/4dLZNfI