Have you tried using the new video editing features in Flow yet? Here's a tutorial on how to insert an object into your clip (and a few other examples we've loved from the community). https://t.co/kpM2OH1U0O

Add a skeleton, spider, black cat or whatever haunts your imagination straight into your video with object insertion in Flow. Just click on the pencil icon on your video, type out your vision, and watch the story unfold.

Finally out in the wild 🎉

Excited to share this has now been accepted at #NeurIPS2025 as a position paper (<6% acceptance)!🎉 We advocate for systematically studying entire model populations via weight-space learning, and argue that this requires charting them in a Model Atlas. @NeurIPSConf #NeurIPS 🧵👇

Image generation with Gemini just got a bananas upgrade and is the new state-of-the-art image generation and editing model. 🤯 From photorealistic masterpieces to mind-bending fantasy worlds, you can now natively produce, edit and refine visuals with new levels of reasoning,

We are releasing a paper I'm very excited about. We know test-time scaling is a path to greatly improved results, and achieves reasoning in the case of LLMs. We present a new and promising way to amortize it into training using HyperNetworks for image generation models.

@karpathy Thanks for the inspiring talk (as always!). I'm the author of the Model Atlas. I'm delighted you liked our work, seeing the figure in your slides felt like an "achievement unlocked"🙌Would really appreciate a link to our work in your slides/tweet https://t.co/rJjBhMmRjf

And here is our insertion model in action!

Such an amazing feeling to see our generative object insertion video model, used by the incredible artists @Eliza_McNitt & @DarrenAronofsky in their film "Ancestral" at @Tribeca ✨ Check out the film and the tech behind it here: https://t.co/eDMMiIjTcz @Google @GoogleDeepMind

Used Veo 3 to imagine if Jurassic Park was real. This entire thing is AI! Things are gonna get weird #Veo3 #ai #JurassicPark #JurassicWorld

Prompt Theory (Made with Veo 3) What if AI-generated characters refused to believe they were AI-generated?

A quick look on what we were working on in the past months 🎉 more exciting things to come 🙌🏻

Google presents LightLab Controlling Light Sources in Images with Diffusion Models

Our work maps hereditary relationships between models. We find that weights🏋️ are sufficient for decoding the Origin of Models🌳 Presenting today at @iclr_conf, 15:00–17:30, Hall 3, poster #360. Come by to see our method, visualizations, and interactive demo atlas👀🚀 #ICLR2025

🚨 New paper alert! 🚨 Millions of neural networks now populate public repositories like Hugging Face 🤗, but most lack documentation. So, we decided to build an Atlas 🗺️ Project: https://t.co/1JpsC6dCeg Demo: https://t.co/4Xy7yLdIZY 🧵👇🏻 Here's what we found:

Happy to introduce Veo 2, our latest video generation model, rolling out to trusted testers today. It's not perfect, but it's a significant improvement over current state-of-the-art models, as our benchmarks demonstrate.

🚨 Excited to share ObjectMate our latest from @GoogleAI for zero-shot subject-driven generation & insertion 🚨 🔗 project page:  https://t.co/uBeJgccH3W 📄Arxiv:  https://t.co/J2Ya8TLLeP

I'm sharing something unique we've been making at Google (w/ UNC). We are releasing our work on a new class of interactive experiences that we call generative infinite games, essentially video games where the game mechanics and graphics are fully subsumed by generative models 🧵

Google presents Diffusion Models Are Real-Time Game Engines discuss: https://t.co/RQTrNSqGHE We present GameNGen, the first game engine powered entirely by a neural model that enables real-time interaction with a complex environment over long trajectories at high quality.

One last poster I forgot to post. «Recovering the Pre-Fine-Tuning Weights of Generative Models» by @EliahuHorwitz #ICML2024 Clear explanation, 8 line code, visually appealing, and QR code for additional information.