Chief Scientist, Google Cloud. VP DeepMind. Science, Coding, Cyber, Health. (Alpha) (Fold, Genome, Evolve, Earth, Proof), Co-Scientist, SynthID
London, England
- Tweets 432
- Following 76
- Followers 28,102
- Likes 620
Pinned Tweet
1/5 🧬 Today, our team @GoogleDeepMind is taking another step on our mission of deciphering the genome. We are releasing AlphaGenome Atlas, a massive (petabyte-scale) resource containing AlphaGenome predictions for every possible single-letter DNA change in the human genome — 9 billion in total.
deepmind.google/blog/alphage…
23
192
1,291
103,979
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.
9
30
319
12,128
1/5 🧬 Today, our team @GoogleDeepMind is taking another step on our mission of deciphering the genome. We are releasing AlphaGenome Atlas, a massive (petabyte-scale) resource containing AlphaGenome predictions for every possible single-letter DNA change in the human genome — 9 billion in total.
deepmind.google/blog/alphage…
23
192
1,291
103,979
4/5 In early access, scientists are already using Atlas to accelerate rare disease studies and identify causal phenotypes. Every new insight brings us closer to deciphering the fundamental language of life.
1
3
48
2,954
5/5 Explore the release and read more here:
• Blog: deepmind.google/blog/alphage…
• Background:
1
3
45
3,939
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:
7
26
243
48,690
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…
3
6
114
5,249
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
92
408
3,800
469,481
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
17
34
382
53,772
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.
12
29
972
68,224
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.
Google DeepMind is pivoting from attacking hard biological problems to joining the race for an "AI scientist." This will likely harvest a lot of low-hanging fruit, but I think it will stall our actual understanding of biology.
If we think of biological knowledge and drug discovery as a distribution, we currently observe only a slice of it, along only a few dimensions. That is why drug discovery remains largely a matter of luck rather than optimisation over known parameters, and luck is not something LLMs with better reasoning can fix.
What we need is new biological data, generated specifically to expose the missing dimensions and the unobserved mass of that distribution. Above all, we need causal data and models with strong inductive biases, AlphaFold2 being the obvious example. Almost everything since has been reaping the fruit AF2 planted.
If this resonates with you and you have a strong AI background, come work with us.
25
100
1,162
143,330