Yael Vinker🎗

I am *very* excited to announce our SIGGRAPH 2026 workshop: Lines & Minds: Visual Abstraction in Art, Psychology, and Computer Graphics 🎨🧠🫖 🔗 lines-and-minds.github.io 📅 Sunday, July 19 Join us to explore how visual abstraction shapes how we think, create, and communicate.

@YarivLior @ArarMoab @kfir99 @EladRichardson Thanks Lior!☺️

@YVinker @ArarMoab @kfir99 @EladRichardson Well deserve, congrats! 🎊

Excited to share that Inspiration Seeds has received an Honorable Mention award this year at SIGGRAPH! 🎉 👉kfirgoldberg.github.io/InspirationSee… Huge thanks and congrats to the best team! @kfir99 @EladRichardson Looking forward to seeing you in LA in July!🌱

Excited to share that we received an 🌱 Honorable Mention award for Inspiration Seeds 🌱 Was really a pleasure working on that one 😊

@kfir99 And thanks to @EladRichardson for this super cool video!😍

Happy to share that Inspiration Seeds 🌱 has received a Honorable Mention award at SIGGRAPH 2026! 🎊 We’ve also released all the training and benchmark data used in the paper. Check it out: kfirgoldberg.github.io/InspirationSee…

@kfir99 Yay!:)

Classic computer animation techniques from the 90s, as used in Toy Story. v/@0xmitsurii

@runwayml Amazing 💪💪

Aleph 2.0 is here. Now you can edit a single frame in your video, preview the change and then Aleph 2.0 carries that edit across the rest of your video. Try it now in the new Edit Studio on web at the link below.

@EladRichardson The styles are amazing

@EladRichardson Yess visual communication 🔥👑

Aleph was one of the first models to show general text-based editing of real videos. With Aleph 2.0, we bring visual prompting to the front, making edits more precise, direct, and controllable. Have fun!

@yuvalalaluf 👏

Playing around some more with Aleph 2.0. All edits here are guided from a single anchor editing frame, even across longer multi-shot videos. Excited about the jump to 1080p and more precise, localized editing. Can’t wait to share more results soon!

@YarivLior Looks great! Congrats Lior!👏👏

High-resolution denoising at every step is computationally redundant, especially since diffusion has spectral autoregressive behavior. We show that you can dynamically grow the resolution as the denoising happens, giving a plug-and-play way to accelerate generation.

@GordonWetzstein Looks great👏👏

High-fidelity generation is hitting a scaling crisis as DiT compute grows with image resolution and video length. But do we need high-resolution denoising at every step? We introduce Spectral Progressive Diffusion, a plug-and-play framework for efficient image and video generation that directly exploits the spectral autoregression property of diffusion to grow resolution during denoising. [1/7]

@natanielruizg @jon_barron Wow😍

It's been so unique to work on Gemini Omni pre-training with the best team on earth. Omni has outstanding reference-based generation and novel multimodal capabilities. It feels to me like a new paradigm. Native video editing, visual and vocal personalization, high quality outputs, multimodal understanding. All in one. Approaching the important AGI milestone of an anything-in-anything-out model. Here is me doing my best impression of directing, and acting in, a Lovecraftian horror film mixed with a Magnolia-like narration. Notice the expressions, the facial detail - it looks like me and it feels like me. I made this in less than an hour.

@CVPR @CSProfKGD 👏👏👏

We are grateful to all of the 17,491 reviewers who helped make #CVPR2026 possible. We are especially pleased to recognize the following Outstanding Reviewers, whose high-quality reviews (as judged by their Area Chairs) placed them among the top 5% of reviewers.

@MorrisAlper @aclmeeting 👏 Congrats!!

Great news: ConlangCrafter was accepted as an oral presentation at @aclmeeting! Ni iras al San Diego! (how is there no Esperanto flag emoji???)

@EladRichardson @runwayml Amazing

Looks like AI Made with @runwayml agent

Imagine every pixel on your screen, streamed live directly from a model. No HTML, no layout engine, no code. Just exactly what you want to see. @eddiejiao_obj, @drewocarr and I built a prototype to see how this could actually work, and set out to make it real. We're calling it Flipbook. (1/5)

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc. More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage: 1) raw text (hard/effortful to read) 2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default 3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default ...4,5,6,... n) interactive neural videos/simulations Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral x.com/zan2434/status… There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen. TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

@EladRichardson @runwayml Love it🔥

Being Human Made with @runwayml agent