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RT by @demishassabis: Gemini Omni 🐦 prompt in 🧵

RT by @demishassabis: After AlphaGo, the skill of human Go players noticeably improved. I suspect we will see a similar pattern in math.

RT by @demishassabis: When I was asked by the American Academy of Arts and Sciences to write an essay on my thoughts on how AI will accelerate Science, I felt honored but also felt that it would require a lot of thoughtfulness and diligence to distill my thoughts on paper. The essay has now been published and I cannot be more thankful to the >@americanacad and @GoogleDeepMind teams for their feedback and encouragement during the process. Key reflections from my essay: 🔭 AI is our newest revolutionary lens: Just as the telescope and microscope expanded our physical perception, AI is extending our cognitive reach, allowing us to decipher the immense complexity of the data-universe. 🧬 The rise of "machine intuition": AI is not just a computational engine. By detecting hidden structures across disciplines—from protein folding to extremal combinatorics—it acts as an ultimate bridge, accelerating the interdisciplinary breakthroughs that modern science depends on. 🏗️ From puzzle-solvers to architects of questions: As we transition toward open-ended, agentic AI systems that actively generate novel hypotheses, the burden of reasoning is shifting. We are evolving from being the solvers of intricate puzzles into the architects of profound scientific questions. ✨ Expanding human potential: AI won't replace scientists; it expands what we can imagine and achieve. Just as the telescope didn't make astronomers obsolete, AI is giving us the stars. Read the full essay here: https://www.amacad.org/publication/daedalus/unlocking-scientific-intuition-reasoning-at-digital-speed

RT by @demishassabis: Gave google omni a sketched camera path and asked it to generate drone POV footage.

RT by @demishassabis: omni continues to blow my mind (left original / right generated) waymo looks sick in matte black

RT by @demishassabis: Gemma 4 adoption numbers outpacing Qwen 3.5/3.6 for the same sized models is a big shift in the international balance of influence via open models.

RT by @demishassabis: AI agents are advancing research-level math. 🚀 I’m thrilled to share @GoogleDeepMind’s AlphaProof Nexus - an agentic framework for formal proof search powered by Gemini. When applied to a set of open formal math problems, our agent autonomously solved: ✅ 9 open Erdős problems (including two open for 56 years!) ✅ 44 Online Encyclopedia of Integer Sequences (OEIS) problems ✅ A 15-year-old open problem in algebraic geometry ✅ A 7-year-old open question in min-max optimization We are collaborating with mathematicians across disciplines - from combinatorics and graph theory to quantum optics. Ultimately, these results show the massive potential of even simple agentic loops powered by Gemini. Read the paper here: https://arxiv.org/abs/2605.22763v1

RT by @demishassabis: Google Omni might be too powerful 🫥

RT by @demishassabis: Thanks for all of the Antigravity feedback over the last couple of days, especially around the IDE. Our intention was never to remove the IDE support for developers, and we should have been clearer with that in the product from the beginning. We’ve made it clearer in 2.0 on how to connect to the IDE, fixed issues with opening the IDE on Windows machines, provided instructions to restore IDE settings & extensions, and more. New releases for the Antigravity IDE and Antigravity 2.0 have rolled out with these changes. We should have done better so we’re going to reset everyone’s Gemini quota for the week again.

RT by @demishassabis: Can't believe we're getting this before GTA 6

RT by @demishassabis: Project Genie 🤝 @GoogleMaps Street View You can now take real U.S. places and transform them into new, interactive worlds. 🌍

RT by @demishassabis: Gemini 3.5 Flash has made huge progress from 3.1 Pro on GDPval, Flash is competing at the frontier, post training going strong :)

RT by @demishassabis: Yesterday, we 3x’d limits on Antigravity and are seeing you build so much more. One thing we heard was people are worried about hitting their weekly limits after a couple work sessions. To give you more runway, we’re 3x’ing the weekly Gemini quotas AGAIN on all paid plans. We’ve also gone ahead and reset Gemini quotas on all paid plans. Don’t stop building!

RT by @demishassabis: Gemini Omni is here, and we’ve been seeing amazing creations all week. Here are some standouts 👇

RT by @demishassabis: I uploaded a screenshot of Google Maps to Gemini Omni with a route drawn on it. Then I prompted it to create a first person view of someone driving a taxi cab along the route in the reference image. Pretty close to the real thing.

We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks

RT by @demishassabis: We just 3xed the rate limits across all tiers in Antigravity so that you can put 3.5 Flash through its paces even more, enjoy, and keep the feedback coming! :)

RT by @demishassabis: The $2M Prize breakdown for the Build with Gemini XPRIZE that we launch yesterday at Google IO. 1st: $500,000 2nd: $200,000 3rd: $100,000 4th: $100,000 5th: $100,000 — 15 runner ups get $50k each — Category winners get $50k each - Education & Human Potential - Entrepreneurship & Job Creation - Small Business Services - Money & Financial Access - Professional Services Access

R to @demishassabis: More info on Gemini 3.5 flash model here: https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/

Gemini 3.5 Flash is amazing! - Performs better than 3.1 Pro on coding & agentic tasks - 4x faster than other frontier models - 12x faster in @antigravity - 800 tokens/sec! - Often at less than half the cost And Pro to come… Try it in @antigravity, @GeminiApp & more - enjoy!

RT by @demishassabis: The results of the research happening in my team @GoogleDeepMind have convinced me that the next era of scientific discovery will be aided by AI agents acting as force multipliers for human ingenuity. That’s why I’m proud to introduce Gemini for Science - a collection of experimental science tools designed to support researchers at every stage of the research process. The tools include: 1️⃣ Literature Insights, built with Google NotebookLM, searches millions of scientific papers to synthesize findings and generate artifacts including data tables, slides, reports, and more. 2️⃣ Hypothesis Generation, built with Co-Scientist, simulates the scientific method via a multi-agent "idea tournament" to generate, debate, and rigorously evaluate research hypotheses. 3️⃣Computational Discovery, built with AlphaEvolve and ERA, is an agentic engine that generates and scores thousands of code variations in parallel, allowing researchers to test modeling approaches in fields like epidemiology in a fraction of the usual time. Read more: https://blog.google/innovation-and-ai/technology/research/gemini-for-science-io-2026/ Register for access here: http://labs.google/science

Fast-tracking genetic leads to reverse cellular aging

Simulate real-world places with Project Genie and Street View

Introducing Gemini Omni

Introducing Google Antigravity 2.0

Gemini for Science: AI experiments and tools for a new era of discovery

Making it easier to understand how content was created and edited

Strengthening Singapore’s AI Future: A New National Partnership

Finding the molecular switches behind new infectious diseases

Opening new paths in aging research

Accelerating discovery of liver disease mechanisms

Uniting biological toolkits for a new approach to ALS

Uncovering repurposed medicines to fight liver fibrosis

How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica

Gemini 3.5: frontier intelligence with action

Co-Scientist: A multi-agent AI partner to accelerate research

AlphaEvolve: How our Gemini-powered coding agent is scaling impact across fields

Enabling a new model for healthcare with AI co-clinician

Announcing our partnership with the Republic of Korea

Decoupled DiLoCo: A new frontier for resilient, distributed AI training