Thanks Prof. Abhay Karandikar and @PrinSciAdvGoI Prof. Ajay Sood for inviting me to speak at the conclave about the work we do @GoogleDeepMind. I was particularly happy to hear @PMOIndia @narendramodi speak about the importance India places on advancing Science and Research for tackling global challenges. Given India's young and growing scientific community, I am very optimistic about the role Science will play in driving the country's growth.

Delighted to see the launch of the UK’s new AI Biosecurity Lab, which @GoogleDeepMind will partner with and support. As life sciences enter a transformational era, it is essential for researchers, government, and industry to collectively strengthen our biological defences and guide these new capabilities responsibly. Congratulations to @KanishkaNarayan and the entire team that has worked on making this a reality.

SynthID timeline over the last few weeks has been momentous – from opening SynthID Detector to the public, to launching SynthID Bio to watermark functional, AI-designed proteins. Each moment brought us a step closer to our broader vision on provenance, or helping verify what is AI-generated and what isn’t. Recently, Dartmouth Professor Hany Farid and I discussed why solving provenance is vital to @GoogleDeepMind’s broader mission to develop AI to benefit humanity. In short: solving provenance is a highly complex, multi-disciplinary effort with watermarking technology at its core. It requires a collective mix of frontier research, interoperable open standards, and direct collaboration across platforms and developers. Read our full conversation on Google's Public Policy blog:

I am proud to share that SynthID has been recognised by @TIME as one of the Best Inventions of 2026. When we first began developing this technology @GoogleDeepMind, the goal was to find a robust, imperceptible way to watermark AI-generated media directly at the moment of creation, without compromising content quality. It was no small research challenge. But three years into its use, SynthID has already watermarked over 180 billion images and videos, alongside 240,000 years of audio. We’ve also recently extended these watermarking principles to biology with SynthID Bio. SynthID isn't a silver bullet for misinformation and this isn't a challenge any one company can solve alone; but it does represent a step toward a more transparent information ecosystem. A sincere thank you to the teams across @Google for their contributions to making SynthID a reality, and also for the support the team has received from @demishassabis, @sundarpichai and the rest of the Google leadership on this journey. You can try the SynthID Universal Detector at Read more:

Gemini 4 Argon is a step change in model performance. In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇

Building predictive biology models is one of the most important scientific challenges of our time, but solving this requires new experimental biological data at an unprecedented scale. I’m pleased to announce that @GoogleDeepmind is partnering with @ChanZuckerberg’s Virtual Biology Initiative to create the multi-modal datasets needed for improved predictive biology models. I wrote recently about the need to discover how life works at many different scales, from DNA and individual proteins to living cells and whole-body health. As we learnt from AlphaFold and the Protein Data Bank, solving grand biological challenges will not be possible without high-quality open data and efforts like the @czbiohub initiative. Read the announcement here: And my previous essay here: @AllenInstitute, @BroadInstitute, @GladstoneInst, @humancellatlas, @ProteinAtlas, @sangerinstitute, @IsomorphicLabs, @Meta

Today, our team is sharing a preprint on our new system for generative de-novo enzyme design, AlphaProtein Novo. At @GoogleDeepMind, we have long focused on the building blocks of life (proteins). We developed AlphaFold to predict structure, trained language models to understand function, and built AlphaProteo to design de-novo binders. But proteins play many important roles in nature, such as enzymes that catalyze chemical reactions. Designing entirely new enzymes from scratch to catalyze custom reactions has long been a holy grail for scientists. Our team has shown how AlphaProtein Novo can produce new-to-nature enzymes with state-of-the-art activity on 2 benchmark reactions. We’ve also designed custom enzymes to synthesize the pharmaceutical motif piperidine, and others to degrade the environmental plasticizer toxin DEHP. While there is much more work to do in this direction, we’re excited to have demonstrated the ability to design functional proteins that go beyond what is known in nature. Huge congratulations to @jueseph, @ZvxyWu, Josh Abramson, the @GoogleDeepMind protein design team, and our collaborators in the @francesarnold & Liu Group! 🎉 🔗 Preprints and code:

Very happy to announce that our team @GoogleDeepmind has pushed the boundaries of generative biology, achieving the successful synthesis of AI-designed proteins that are both functional and watermarked. This proof-of-concept watermarking of the building blocks of life is enabled by SynthID Bio, our new protein watermarking method. It is designed to safeguard the new era of AI-powered generative biology and strengthen global biosecurity. You can read my thoughts here on why watermarking AI-designed proteins is an important research breakthrough:

The developments of the last few weeks are a powerful reminder of the sheer pace of AI progress. It highlights the urgent need for us to build better coordination mechanisms to govern and harness this technology for the benefit of human civilization.

Every once in a while, science reaches a horizon that changes everything. We are standing at that exact threshold with AI and biology today. The promise of understanding life at its most fundamental level to cure disease and safeguard our world is what inspires our team @GoogleDeepMind every day. Yet, the greater the capability, the greater the duty to ensure it is developed safely. Today, I'm sharing my thoughts on how we can responsibly accelerate AI biology to unlock its full potential:

Really proud of the relentless progress our weather prediction team is making. WeatherNext 3 sets a new standard for prediction fidelity, accuracy and coverage. Great example of how AI can help all of us plan better for the future!

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! 🧮

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: OpenAI Verification Portal: ElevenLabs:

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.

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.

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 ⬇️