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: x.lingyaoai.com/pushmeet/status/210531…

It was such a pleasure to talk through our journey to make AI-generated artefacts identifiable with SynthID. @FryRsquared is not only a great communicator but she also has deep technical insight and innate curiosity. While @jeremydratcliff and I were representing the team, this work wouldn't be possible without the leadership and contributions of @sgowal @sdathath @FStimberg @BunelR @davidstutz92 @ImanisMind and so many exceptional team members at @GoogleDeepMind.

Earlier this year, I was invited by the U.S. Department of Energy’s Under Secretary for Science, @ScienceUnderSec, to serve as Vice-Chair of the Genesis Mission subcommittee, tasked with advising the DOE’s program on the use of AI to accelerate scientific breakthroughs. I am happy to share the Science Advisory Committee report, "Genesis Mission Frameworks for AI-Accelerated National Breakthroughs," which shows how we can make transformative discoveries across three priority areas: AI-enabled biology, accelerated fusion energy, and magnet sovereignty. Creating this roadmap with the Genesis Subcommittee was a rewarding and collective effort. Together with co-authors Drew Endy and Lara Jehi, and with significant contributions from Ali Douraghy and others, I had the privilege of leading the chapter on: "Harnessing Biology at Digital Speed". In it, we lay out a national campaign to shift biology from an observational science into a predictive, engineerable discipline to advance human health, bioenergy, and national resilience. For decades, our ability to sequence and read DNA has outpaced our ability to interpret and design it. We called for key investment in the following three pillars to close this gap: AI-enabled measurement/sensing of biology through high-throughput systemic multiomics, in-cell visual proteomics, and structural dynamics. AI-enabled modeling and prediction of molecular mechanics and whole-cell causal simulation. AI-enabled manufacturing and design through next-generation biofoundries and predictive scale-up, closing this gap by treating bioreactor physics and cellular mechanics as one integrated computational problem. Realising AI’s potential across these national priority areas will require enormous collaboration, and the Genesis Mission is enabling this across national laboratories, universities, and industry. A sincere thank you to the committee and our contributors. Read the full report here: science.osti.gov/-/media/Abo…

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! blog.google/innovation-and-a…

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! 🧮 arxiv.org/abs/2608.16884v1

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: deepmind.google/models/synth… OpenAI Verification Portal: openai.com/research/verify ElevenLabs: elevenlabs.io/blog/synthid

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.