Ali Razavi

We’re dropping Gemini Omni: our first step towards a model that can create anything from anything - starting with video. It combines Gemini’s intelligence with our generative media systems - representing a leap forward in world understanding, multimodality, and editing 🧵

Gemini 3 Pro 🤝 Nano Banana Pro New SOTA image generation and editing. 🍌Production-ready visuals with improved precision and control 🍌Images grounded in Gemini’s real world understanding 🍌Superior text rendering 🍌Localization in multiple languages 🍌Physically accurate lighting and dynamics. And character consistency across 14 (fluffy) inputs! blog.google/technology/ai/…

also this is amazingly cool: SIMA 2 playing in the mind of Genie 3: x.com/GoogleDeepMind…

Tired of chasing references across dozens of papers? This monograph distills it all: the principles, intuition, and math behind diffusion models. Thrilled to share!

@jacobaustin132 AI can have the opposite effect as well? economist.com/finance-and-ec…

The idea that our economy basically exists to enable corporate extraction of rents from ordinary people has gone from far-fetched to highly plausible in the last decade, and AI plays a core role in this story: both as a mechanism for consolidation and an excuse for it

Awesome to see Veo 3.1 top the LMArena video leaderboards by a large distance with big improvements over Veo 3.0 for text-to-video (+30) and image-to-video (+70)! 🔥Huge congrats to the team! Try it for yourself in flow.google and the @GeminiApp

Veo is getting new precision editing capabilities that let you easily add or remove elements from a scene - all while preserving the integrity of your original video. 🎥

Congratulations to Jesse, Jared @jdlichtman, and Christian @ChrSzegedy on this great result! (They told me and Terry about it weeks ago, but released it while I was giving a lecture series in Italy last week, followed by speaking at a conference this week at Harvard -- where I got to chat some more with Jared; so I’m only now getting around to perusing the blueprint+code.) What I’m impressed by: (cont'd)

We’re announcing a major advance in the study of fluid dynamics with AI 💧 in a joint paper with researchers from @BrownUniversity, @nyuniversity and @Stanford.

Something fun we discovered: you can use #Genie3 to step into and explore your favorite paintings. Here's a short visit to Edward Hopper's "Nighthawks".

It's one of the most interesting serving problems to solve. Thanks so much @jparkerholder @shlomifruchter and Stephen Spencer for the opportunity to work on Genie 3. It's an amazing team and I had so much fun ❤️ Also thanks to @tink_expo_ @ShanHan3290 @cip_baetu @vadikrobot

Yesterday we announced Genie 3. One feature of the model that's especially fun to play with is starting worlds from existing videos. Here's a drone shot generated by Veo 3, with me taking control mid-flight.

Introducing Genie 3, our state-of-the-art world model that generates interactive worlds from text, enabling real-time interaction at 24 fps with minutes-long consistency at 720p. 🧵👇

Excited to introduce Genie 3, our general purpose world model that creates interactive, playable environments from any text prompt. It can generate dynamic worlds at 720p and 24 FPS, with each frame created in response to user actions in *real-time*.

So sad to hear we lost the legendary theatre icon Robert Wilson. Einstein on the Beach 13 yrs ago was a truly formative experience. I went for Philip Glass' music (loved) but Wilson's stage design blew my mind! Sharing a few scenes from works I had the privilege to see. RIP.

I'm observing a mini Moravec's paradox within robotics: gymnastics that are difficult for humans are much easier for robots than "unsexy" tasks like cooking, cleaning, and assembling. It leads to a cognitive dissonance for people outside the field, "so, robots can parkour & breakdance, but why can't they take care of my dog?" Trust me, I got asked by my parents about this more than you think ... The "Robot Moravec's paradox" also creates the illusion that physical AI capabilities are way more advanced than they truly are. I'm not singling out Unitree, as it applies widely to all recent acrobatic demos in the industry. Here's a simple test: if you set up a wall in front of the side-flipping robot, it will slam into it at full force and make a spectacle. Because it's just overfitting that single reference motion, without any awareness of the surroundings. Here's why the paradox exists: it's much easier to train a "blind gymnast" than a robot that sees and manipulates. The former can be solved entirely in simulation and transferred zero-shot to the real world, while the latter demands extremely realistic rendering, contact physics, and messy real-world object dynamics - none of which can be simulated well. Imagine you can train LLMs not from the internet, but from a purely hand-crafted text console game. Roboticists got lucky. We happen to live in a world where accelerated physics engines are so good that we can get away with impressive acrobatics using literally zero real data. But we haven't yet discovered the same cheat code for general dexterity. Till then, we'll still get questioned by our confused parents.

The dream job. Literally.

Btw as an aside, we didn’t announce on Friday because we respected the IMO Board's original request that all AI labs share their results only after the official results had been verified by independent experts & the students had rightly received the acclamation they deserved

An advanced version of Gemini with Deep Think has officially achieved gold medal-level performance at the International Mathematical Olympiad. 🥇 It solved 5️⃣ out of 6️⃣ exceptionally difficult problems, involving algebra, combinatorics, geometry and number theory. Here’s how 🧵

So pleased and proud to share with you what our team has been up to, on an ambitious journey to build a video foundation model for scientific domains ! ✨ 🚀 🎞️ 🧪 #ICCV2025 #AI4Science