Research at @GoogleDeepMind. Gemini Omni Team. Priors: GNNs, Structured World Models, Neural Assets, Veo Ingredients/References, Veo Robotics

San Francisco, CA
Joined June 2009
Thomas Kipf retweeted
We added Gemini 4 Argon to our AutoResearchExam Pareto curve. It is 2-3 times cheaper compared to the other frontier models for almost the same ML engineering performance. Congratulations to the GDM team.
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Thomas Kipf retweeted
there are no robot foundation models, just foundation models
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Thomas Kipf retweeted
As a German, it is a tragedy: in a parallel universe this would be Germany’s moment, as it requires so much that Germany has traditionally excelled at: industrial capacity, engineering, world-leading physics, design and manufacturing excellence. That was exactly what ‘made in Germany,’ stood for.
Jensen Huang has a message for Germany
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Thomas Kipf retweeted
Google Antigravity
@antigravityOct 15
We’re rolling out Gemini 4 Argon in Antigravity to paid Google AI Pro subscribers today. Demand has been incredible and we've scaled capacity deliberately to get here. We’ve rolled out a separate weekly-only Argon quota for Pro on top of the existing Gemini bucket for 3.8 Flash so you have the best of Gemini for all your tasks.
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Thomas Kipf retweeted
Excited to launch Gemini 4 Argon, designed to help with hardest coding and knowledge work tasks with its frontier capabilities.. For developers and enterprises, it’s available in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google Antigravity, and Ultra and Pro subscribers in the Gemini app and Search. Read more: blog.google/innovation-and-a…
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Thomas Kipf retweeted
I work at Google DeepMind and yes I have tried the model known externally as “Argon”. I can say this: I don’t reach for Opus anymore for any work (like I did when 3.8 Flash was our top model). I hope that it will soon be generally available for everyone to enjoy!
I have a simple question: Did anyone actually try Gemini 4 Argon?
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Thomas Kipf retweeted
Leaving aside the arguments over the reasons why this has happened, it is shocking that Europe does not have a single frontier AI lab, nor even a near-frontier lab nor even an effort that could likely lead to building up a frontier lab in the future.
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Thomas Kipf retweeted
Today we have 3 new DeepMind Institute essays: How can we control misbehaviour in agent swarms? How should we orchestrate complex networks of AIs and people? The case for making AGI’s benefits equitably distributed. Get them here -> bit.ly/deepmind-institute
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Thomas Kipf retweeted
I was encouraged this week to see the leaders of the frontier labs agree on the need for them to slow down the pace of AI development. Given the stakes, it’s a good and necessary first step.   But I’m even more encouraged by the growing recognition that how this powerful new technology develops should be at the center of our public debate.   I’ve been watching the progress on AI for over a decade now, and one thing that’s clear to me is that the potential impact of this technology is not overhyped. It’s also moving at lightning speed – and even faster than those who are engineering it can keep up with.   I’m not an AI accelerationist who believes it will lead to some techno-utopia, and I’m not a doomer who thinks it will inevitably lead to humanity’s destruction. But whether this technology results in amazing breakthroughs in medicine, energy and education or unleashes huge economic disruptions, greater inequality, and potential catastrophe will depend on the choices that we make right now – choices that should be made not just by the companies involved, but by all of us.
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Thomas Kipf retweeted
1) Intelligence is the process of minimizing the generator-verifier gap 2) The generator-verifier gap is a fundamental property of the universe 3) ASI is the optimal such process
If a solution is fundamentally easier to be verified than to be generated, it probably means that there is a learning signal. Lots of problems fall in this category.
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Thomas Kipf retweeted
Multimodal sensors are indispensable. By combining inputs from cameras, lidar, and radar, the Waymo Driver creates a rich, redundant world view that no single sensor can replicate. • Lidar captures 3D geometry with millimeter precision • Cameras read street signs and light colors • Radar tracks velocity and cuts through rain, fog, and dust
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if you haven't given the new Gemini 3.7 Flash a fair shake, you're seriously missing out when you factor in token throughput, 3.7 flash is actually in a league of its own. it's seriously not even close coding benchmarks will put its total task time near frontier models like 5.6 sol, but in the planning/discussion stage gemini 3.7 flash is straight up 2-6x faster than comparable options. speed at this stage keeps you in flow and leads to better alignment with your agents and better execution gemini 3.7 as your "front door" model to clarify your scope with fable 5/gpt 5.6 sol as an advisor is a really ergonomic and effective setup, it's what i'm currently using
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🎆 Happy 250th Birthday, America! 🇺🇸 Today, we're celebrating in style — lighting up the Brandenburg Gate in honor of 250 years of American independence.
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Thomas Kipf retweeted
I believe that exploring and making mistakes is key to learning and research.
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Thomas Kipf retweeted
Gemini Omni can create action replays from different angles. I referenced a video clip with agent in Google Flow. Then asked it to give new angles that follow the original video timing, environment and movement. This test came really close to real-time consistency!
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Thomas Kipf retweeted
World Models ftw :) – at San Francisco, CA
CHRIS FIRST
@chrisfirstMay 21
I uploaded a screenshot of Google Maps to Gemini Omni with a route drawn on it. Then I prompted it to create a first person view of someone driving a taxi cab along the route in the reference image. Pretty close to the real thing.
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Thomas Kipf retweeted
Super excited to see Gemini Omni finally out in the world! Having been part of this project since its inception, I've seen how its native multimodal capabilities can redefine what's possible. We're truly entering the "Nano Banana era" for video generation. Give it a try!
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Thomas Kipf retweeted
This week on The Information Bottleneck, we are hosting @wellingmax 🥳🥳🥳 Max is one of the most influential ML researchers of the last two decades - Professor at UvA, ex-VP at Qualcomm and MSR, co-founder of ELLIS, two Test of Time awards, and advisor to a long line of people who shaped modern generative modeling (@dpkingma, @TacoCohen , @tkipf). His own work is behind a lot of the machinery the field is still building on - VAEs, graph convolutional networks, and equivariant neural networks, to name a few. He's now CTO and co-founder of CuspAI, designing new materials for carbon capture and PFAS removal using generative models plus physics-based simulation. What would you ask him? Drop questions below.
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Introducing Gemini Robotics ER 1.6, our new SOTA robotics model 🤖 which excels at visual and spacial reasoning, now available via the Gemini API!
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Thomas Kipf retweeted
We've signed an agreement with Google and Broadcom for multiple gigawatts of next-generation TPU capacity, coming online starting in 2027, to train and serve frontier Claude models.
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