KK Walker

ECD @Google, Google AI, Gemini

[Google DeepMind @GoogleDeepMind]

Gemini 4 Argon built a 3D periodic table synced to Tom Lehrer’s song, “The Elements.”

Created in @Antigravity, it animates orbiting electrons, atomic data, and light spectra.

[KK Walker @kkwalker]

@alexanderchen @HarshithLucky3 This made my day

[KK Walker @kkwalker]

@GeokenAI Go George!

[Alexander Chen @alexanderchen]

It's been fun playing with Gemini 4 Argon! We made this video showing lots of our experiments (and my cat 🐱!) Team effort w/ @kkwalker + many friends here.

[Google DeepMind @GoogleDeepMind]

SL2T is our breakthrough sign language-to-text model powering new features for Deaf and hard of hearing users on @Android.

Starting with American Sign Language-to-English on Pixel 11, people can sign directly into Gboard and Live Transcribe instead of typing.

[Digital Trends @DigitalTrends]

One of the best uses of AI I've seen in a long time.
It's not your usual AI slop. This project recreated the real scene in the same stadium, with a leather ball, old jerseys, and human stunt artists.
Seeing this goal come to life for the first time, based solely on a few photos and anecdotes, is truly mesmerizing.
@GoogleAI @GoogleDeepMind

[KK Walker @kkwalker]

👑

[Pelé @Pele]

The goal Pelé called the most beautiful of his life was never filmed. Aug 2, 1959, vs Juventus, on Rua Javari. With @Google, we rebuilt it frame by frame. This time, the whole world can see it - https://t.co/4QkJMIp6Xs
.
O gol que Pelé considerava o mais bonito nunca foi filmado. 2/8/1959, contra o Juventus, na Rua Javari. Em parceria com o Google, reconstruímos o lance quadro a quadro. Desta vez, o mundo inteiro pode ver em https://t.co/4QkJMIp6Xs.

[Josh Woodward @joshwoodward]

Gemini Omni is so fun - insanely great at editing videos!

[KK Walker @kkwalker]

This is what it's all about, congrats @vivnat @alan_karthi @pushmeet @Mysiak

[Vivek Natarajan @vivnat]

Out of all the announcements at @Google I/O today, this is the one closest to my heart - our foundational research on Co-Scientist was published in @Nature and we announced its broad availability via @GeminiApp for Science.

When you are suffering from a disease, time is everything. As our collaborator and @StanfordMed Professor Dr. Gary Peltz reminds us, there are thousands of diseases out there with zero treatments. There is simply so much left to solve.

Our goal with Co-Scientist has been to give scientists superpowers and help them get to these answers faster - compressing the scientific process from months and years down to hours and days.

Much like Galileo's telescope helped us look into the stars, Co-Scientist is designed to help us make sense of the vast complexity of biological and scientific data. It is among the first examples of a truly general-purpose multi-agent system for scientific discovery.

The core research question behind it was: How can an AI system engage in the rigorous, structured thinking that’s the hallmark of science and scientists?

To tackle this, Co-Scientist builds on the principles of self-play and self-improvement underpinning @GoogleDeepMind breakthroughs like AlphaGo, generalizing them to scientific reasoning through self-debates.

Since our preprint last year, we have further improved its capabilities and have been validating it in collaborations with scientists across over 100 institutions globally, spanning both academia and industry.

And we are thrilled to see the emergence of a new form of AI-human scientist collaboration that's already leading to important new insights, discoveries and peer reviewed publications - from understanding antimicrobial resistance (published in @CellCellPress) to decoding plant immunity, to identifying new treatments for liver fibrosis (Advanced Science), cancer, neurodegenerative diseases like ALS and the grand challenge of aging.

I have always believed AI's greatest promise is accelerating scientific discovery and advancing human health.

My genuine hope for the future is that AI tools like Co-Scientist help democratize science, giving anyone, anywhere the means to pursue their child-like curiosity and change the world.

This work was done with stellar team mates spanning @GoogleDeepMind @GoogleResearch, @googlecloud and @GoogleLabs especially Juro Gottweis (@Mysiak ), who is the heart and soul of this effort.

Special thanks also to all our wonderful collaborators: Gary Peltz, @CostaT_Lab, @jrpenades, @_e_d_v_ , @iambyronic, @OpsBug, @jgooten, @omarabudayyeh Ritu Raman, Ryan Flynn, Filippo Menolascina, Velia Siciliano, Clare Bryant, Matt Onsum, Katherine Labbé and more.

Nature paper link - https://t.co/ap4woY9Fo3

Google DeepMind blog - https://t.co/LLJZ27ufPP

Gemini for Science - https://t.co/lDhsHCCXrj.

[Pushmeet Kohli @pushmeet]

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://t.co/l8XIg8iXCN

Register for access here: https://t.co/V3YS15mRUS

[Yossi Matias @ymatias]

Breast cancer affects one in every eight women in the UK, and early detection is crucial.
⚕️ Our latest research in @NatureCancer shows how AI can strengthen early detection efforts for breast cancer. In studies with @imperialcollege and the @NHSuk, our experimental research AI-based screening system identified 25% more “interval cancers” - cases typically missed by traditional screening - while reducing screening workloads by an estimated 40%.
Key findings from the studies in thread🧵⤵️

[Gemini Notebook @Gemini_Notebook]

Introducing Cinematic Video Overviews, the next evolution of the NotebookLM Studio. Unlike standard templates, these are powered by a novel combination of our most advanced models to create bespoke, immersive videos from your sources.

Rolling out now for Ultra users in English!

[Google Design @GoogleDesign]

Ready to make magic at Google? ✨ Applications for the 2026 Google Creative Fellowship are officially open!

Calling all emerging creatives (0-5 years exp) looking to get hands-on with real projects across teams like Google Creative Lab, YouTube, and Brand Studio.

📍 NYC, SF, or LA
🗓️ 6-month paid program (Jun–Dec 2026)
⏳ Apply by March 23, 5 PM PST

👉 https://t.co/DoJX0Y8A4Z
#CreativeFellowship #GoogleDesign

[Google @Google]

Early testers of Gemini 3 Deep Think are already seeing results.

We partnered with researchers to explore how this model could tackle rigorous, real-world applications — from spotting hidden flaws in research papers to optimizing semiconductor growth.

Here’s how early testers are using Gemini 3 Deep Think to help solve the "unsolvable" 🧵↓

[Demis Hassabis @demishassabis]

One of the most important things we can use AI for is to improve human health. I recently spoke with @agarfinks from @FortuneMagazine on the incredible progress we're making @IsomorphicLabs pushing the frontier of AI-powered drug discovery to make the process 10x faster & better!

[Google DeepMind @GoogleDeepMind]

See you in 2026.

🤝 @GoogleAI
🤝 @GoogleResearch
🤝 @GoogleQuantumAI

[Kath Korevec @simpsoka]

Josh might be the most humble exec at Google. I think that's where the magic comes from. Such a good read and look into his process: https://t.co/PNpvIpsUQx

[Alexander Chen @alexanderchen]

Experimenting with @threejs + Nano Banana Pro using Gemini 3.

[Aaron @aaronp613]

Cool easter egg on Google:

If you search for Pluribus, it will say “What are you searching for, Carol?

[Arena.ai @arena]

🚨🎬 Big news from Video Arena!

@GoogleDeepMind’s latest Veo 3.1 now ranks #1 in both Text-to-Video and Image-to-Video leaderboards. 🏆

This is a +30-point leap from Veo 3.0 → 3.1, making it the first model to break 1400 in Video Arena history!

Huge congrats to the @GoogleDeepMind team for pushing the frontier of video generation forward!

More details in the thread 🧵