ex-google brain and deepmind. phd in neural nonsense from stanford.

San Francisco, CA
Joined March 2008
Ben Poole retweeted
We're hiring at SpAItial 🚀🚀🚀 Want to build AI that generates 3D worlds and understands their physics? 15 roles in London & Munich: 🧠 RS: World Models · 3D Diffusion · 3D Recon · Robot Learning 🛠️ RE: World Models · 3D Recon · Graphics ⚡ ML Infra · Inference Join us 👇
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Congratulations to our first #NobelPrize laureate of 2026 🎉 Early this morning Karl Deisseroth found out he was awarded this year's Nobel Prize in Physiology or Medicine. He seems very happy with the news!
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Ben Poole retweeted
I've been on a Blender kick with Opus 5.5. Its better 3D modeling and vision mean you can build an entire world from a single prompt. Historically accurate San Francisco Market street in 1906, pre-earthquake
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Ben Poole retweeted
I just realized Opus 5.5 can use Blender to make claymations with just a single prompt in claude dot ai now
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Ben Poole retweeted
We are hiring research scientists and engineers🧑‍🔬 on the Gemini Omni team! Both in the US (Mountain View / SF) and Europe (London / Zürich). Apply here: google.com/about/careers/app…
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Ben Poole retweeted
Atlas is live! A spatial foundation model, trained in-house from scratch. After shipping RTFM last year, I was convinced a single camera-conditioned model could unify most spatial generation tasks. Atlas is that bet at scale. The core idea👇
Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time.
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Ben Poole retweeted
Two years later our first video model - FLUX 3 Video - is finally released🥹. This is such a strong, fun and versatile model made by the best team in the world @bfl_ai. We will add further variants and generation from references in the near future. I am also super excited about the upcoming open weight, action prediction and image variants of FLUX 3.
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Ben Poole retweeted
Fortunate to work with this team every day, ACT-2 is a big leap. Working on real Solves is a blast. Next Stop: Recursive Solve Improvement
Introducing ACT-2 Preview The first robotics model to unify broad generalization with high reliability. A single fine-tuning example can teach Memo a new behavior that generalizes. Zero shot, real unseen homes, 99% success rate.
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Ben Poole retweeted
1/2 Introducing Nano Banana 2 Lite! We are working hard at the next frontier model, but in the meantime enjoy this fast and cheap Nano Banana (Pico Banana?). It returns images in only a few seconds, and with most of the smarts of the NB2 model! deepmind.google/models/gemin…
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We’re shipping 2 major releases:
 🔘 Nano Banana 2 Lite: our fastest and cheapest Gemini Image model 🔘 Gemini Omni Flash: now available via the Gemini API and in @GoogleAIStudio to help developers generate and edit high-quality videos.
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Huge congratulations to the Project Genie team on taking home the Cannes Lions Grand Prix for AI Craft! 🎉 Thank you @Cannes_Lions for recognizing how Genie pushes beyond conventional creative limitations to achieve outcomes unattainable without frontier AI… Another unexpected consequence of scaling world models :) Try it yourself here: labs.google/projectgenie
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Ben Poole retweeted
Exciting news: Gemini Omni Flash is now #1 in the Video Arena (both Text-to-Video and Image-to-Video)! For Text-to-Video this is a massive +158 pt improvement over Veo 3.1 (1080p) and a large +61 pt lead over the next best model, Seedance 2.0. Congrats @GoogleDeepMind for this huge milestone!
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 🧵
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Ben Poole retweeted
🌍 Project Genie access is expanding even more! Starting today, Google AI Ultra 5X subscribers (our latest tier!) globally can access Project Genie. Try it out here! labs.google/projectgenie
We love seeing all of the worlds you’ve been creating with Genie. SO much so, that we’re excited to announce Project Genie is now fully available to all Google AI Ultra subscribers globally (18+).
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Ben Poole retweeted
Diffusion Circle happening today @CVPR #CVPR2026 Upper Lobby F at 3:30pm, come join us!
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Ben Poole retweeted
Ideogram 4.0 has four key components: (1) a frozen Qwen3-VL-8B text encoder (2) a 34-layer single-stream DiT (3) a flow-matching Euler sampler with asymmetric CFG (4) a frozen FLUX.2 VAE We thank the open-source community and give back by releasing this with open weights.
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Try out our image to video feature in Gemini Omni Flash! Interested to see what people are able to do.
Bring your images to life ⚡️ Upload your picture as a first frame and add a prompt to generate your own unique video with Gemini Omni Flash. Tag us and share your results!
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Ben Poole retweeted
Diffusion Circle with forest vibes! 🌲 Since the original Diffusion Circle organizer @sedielem cannot make it to CVPR in person this year, we coordinated with him and are happy to host the Diffusion Circle this time. Stop by if you are interested in flow maps, multimodal diffusion models, variational flow matching, action prediction, and all the other hot denoising stuff. @sumith1896 and @dustin_podell will coordinate. Meeting point: Upper Lobby F / Exhibit Hall F Entrance; see attached pics. Happening Saturday, June 6, 3:30pm!
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Ben Poole retweeted
The PSI blog will be a good place to look for world model updates: neuroailab.github.io/psi-web…
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For the past years my research focus was on unifying models and training paradigms across modalities. Today I'm excited that we're releasing our latest model aligned with this theme: Gemma 4 12B, a dense encoder-free model which processes raw text, image, and audio inputs! 1/
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Ben Poole retweeted
Introducing Project Eden, a world model research preview from @VASTAIResearch Project Eden is a persistent, multiplayer world model that fundamentally breaks from existing paradigms by decoupling the underlying world state from visual rendering. Instead of treating the world as a sequence of transient frames, Eden treats it as a structured, evolving environment that runs continuously, can be modified by user actions, and can be consistently observed from any viewpoint.
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