@pushmeet
Chief Scientist, Google Cloud. VP DeepMind. Science, Coding, Cyber, Health. (Alpha) (Fold, Genome, Evolve, Earth, Proof), Co-Scientist, SynthID
Matrix multiplication is the basic computational operation that powers modern computing (including AI). Yet, the theoretical fastest speed at which computers can multiply matrices (omega ω) is still unknown and has been a longstanding challenge for complexity theory and computer science. Today, we announce a new record for omega (ω<2.371177). This is the result of a great team effort between @GoogleDeepMind, our academic collaborators, and our Gemini-powered coding agent AlphaEvolve! 🧮 t.co/5c7E8W1F1d
Great to see @OpenAI join @ElevenLabs in adopting @Google's SynthID for audio, enabling their users to have access to the same robust, imperceptible safeguards that power our own products. For years, we at @GoogleDeepMind have been pioneering research on SynthID watermarking to address the risks of AI-generated media (particularly acute for audio and voices). We had successfully integrated SynthID to safeguard our product surfaces - Gemini Live, Lyria, and Veo, but protecting the ecosystem requires an industry-wide effort to build foundational safety infrastructure together which is now gaining momentum! SynthID: t.co/XqcVCcj9sb OpenAI Verification Portal: t.co/sLgYvYIo12 ElevenLabs: t.co/Dbfhgq0axk
Great to see @OpenAI join @elevenlabsio in adopting @Google's SynthID for audio, enabling their users to have access to the same robust, imperceptible safeguards that power our own products. For years, we at @GoogleDeepMind have been pioneering research on SynthID watermarking to address the risks of AI-generated media (particularly acute for audio and voices). We had successfully integrated SynthID to safeguard our product surfaces - Gemini Live, Lyria, and Veo, but protecting the ecosystem requires an industry-wide effort to build foundational safety infrastructure together which is now gaining momentum! SynthID: t.co/XqcVCcjHhJ OpenAI Verification Portal: t.co/sLgYvYIVQA ElevenLabs: t.co/Dbfhgq0ImS
Ten years ago, I crossed paths with a guy on a remarkable journey. When I told him of my desire to understand the world, he invited me along, suggesting that I might find my answers where he was going. I soon realized I had joined a true polymath who had assembled an unparalleled vessel of minds - thinkers, builders, philosophers, and artists. As he transitions to the next phase of this important mission, I am left with nothing but gratitude for the profound adventures we've shared. Thank you, my friend @demishassabis, for what you have built and for the path ahead.
The @GoogleDeepMind Science team has not pivoted; it had expanded its work. We are continuing to tackle the hardest problems in Science and Biology—from understanding protein function and deciphering the genome to enabling de-novo protein and enzyme design, while also accelerating the process of scientific discovery by developing Gemini-powered agents. The culture of @GoogleDeepMind is to empower our scientists. They have agency over which challenging goals they want to pursue, and this is true for the AlphaFold team as well.
The @GoogleDeepMind Science team is not pivoting; it is expanding its work. We are continuing to tackle the hardest problems in Science and Biology—from understanding protein function and deciphering the genome to enabling de-novo protein and enzyme design, while also accelerating the process of scientific discovery by developing Gemini-powered agents. The culture of @GoogleDeepMind is to empower our scientists. They have agency over which challenging goals they want to pursue, and this is true for the AlphaFold team as well.
The @GoogleDeepMind Science team is not pivoting; it is expanding. And we are continuing to tackle the hardest problems in Science and Biology; from understanding protein function and deciphering the genome to enabling de-novo protein and enzyme design. The culture of @GoogleDeepMind is to empower our scientists. They have agency over which challenging goals they want to pursue. The large majority of the AlphaFold team members continue working on hard scientific challenges and accelerating the process of scientific discovery by developing Gemini-powered agents for Science based on their research interests and expertise.
We stand at an inflection point where the convergence of advanced AI and scientific research promises to unlock a new golden age of discovery. @Google is equipping Genesis Mission scientists with our frontier models and agentic tools. This will act as a force multiplier for human ingenuity - boosting American scientific productivity and empowering top researchers to solve pressing global challenges faster than ever. t.co/rbYlSZ29ef
Great to see launch of the Gemini 3.5 Flash Cyber model! 🛡️ By combining Gemini Cyber with the Code Mender harness, we're giving frontline software defense teams a head start to efficiently uncover and secure critical vulnerabilities in complex production systems. @GoogleDeepMind Learn more ⬇️ t.co/bQUpVQ0fbN
Great to see launch of the Gemini 3.5 Flash Cyber model! 🛡️ By combining Gemini Cyber with the Code Mender harness, we're giving frontline software defense teams a head start to efficiently uncover and secure critical vulnerabilities in complex production systems. Learn more ⬇️ t.co/bQUpVQ0fbN
Fascinating application of @GoogleDeepMind's AlphaFold in protein engineering! 🧬 As we approach 5 years since the AlphaFold Database was launched, it’s great to see it being used to fill in structural blind spots. While still early, it’s a brilliant example of how open access to AI-predicted structures is empowering experimental biologists to target complex health challenges.
Tackling the most complex scientific challenges requires a proactive approach to safety. Today, together with @IsomorphicLabs, we're sharing our joint approach to bio-resilience. Learn more: deepmind.google/blog/our-appro…
Developing increasingly powerful AI necessitates a rigorous checks and balances approach to ensure it benefits humanity. Really glad to see @demishassabis proposing this framework for the responsible development and deployment of AI systems. x.com/demishassabis/…
Our teams across @GoogleDeepMind and @googlecloud are working together to bring AlphaEvolve, our algorithm discovery and code optimization agent, to scientists and engineers solving the world's hardest technical problems. Looking forward to the new discoveries powered by AI! 👇 x.com/googlecloud/st…
@JohnJumperSci , you have been a fantastic colleague. I am deeply grateful for all your invaluable contributions to the @GoogleDeepMind Science program. From the mission-focused execution on AlphaFold to the amazing Nobel ceremony- you leave us with a lot of memories. We wish you the best, my friend.
The next era of AI isn't just about writing code faster; it's about discovering entirely new ways to solve complex engineering bottlenecks. @GoogleDeepMind's evolutionary coding agent, AlphaEvolve, is now deployed on @googlecloud, acting as an autonomous research engineer for enterprise infrastructure. Instead of just generating boilerplate, it systematically explores and refines algorithmic search spaces. We are already seeing incredible empirical results in production: Logistics: @BASFAgro achieved an 80% accuracy improvement over their existing supply chain models. Core Systems: @jetbrains saw a 15-20% performance boost to their core IDE B-tree indexing stack. Read the full technical reports on how these algorithms are evolving here: 🔗 JetBrains: t.co/a47rq5DC5F 🔗 BASF: t.co/IRtTSmw57J
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
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
See the formal proofs (in lean) discovered by the AlphaProof Nexus agent: github.com/google-deepmin…
Really happy to see @OpenAI adopt @GoogleDeepMind's SynthID for watermarking AI generated images. We need more such cross industry partnerships for enabling responsible use of AI systems. x.com/OpenAI/status/…
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
The future of Math is mathematicians and AI agents working together. Very pleased to introduce @GoogleDeepMind's AI co-mathematician: a multi-agent system designed to actively collaborate with human experts on open-ended research mathematics. Mathematicians testing the agent
Read more in our technical paper: arxiv.org/abs/2605.06651 See the Frontier Tier 4 problem evaluation at: epoch.ai/frontiermath/t…
Over the last few months, our team @GoogleDeepMind and @googlecloud has been putting our Gemini-powered algorithm discovery agent AlphaEvolve to work across a wide variety of important applications. The results are amazing! We're seeing major improvements in everything from
