Great energy at today's CineGen, where AI meets filmmaking! Nothing beats connecting with the creators and filmmakers face-to-face — sharing ideas, aligning on what’s next, and building the momentum that drives us forward. Huge shoutout to Andrew “Squid” Montanez, Jason Kent Carpenter, and Tony Shyu for making this happen. Your support made all the difference. Excited for what’s ahead. Let’s keep building! #TopviewAI# #AIVideo# #AIFilmMaking# #GenerativeVideo# #LosAngelesCreators# #AICreators#

We’re rolling out Gemini Omni 1.1 Flash to make generative video highly controllable, faster to iterate on, and more polished for production-grade use. Here’s how you can try it in @FlowbyGoogle and more →

Live now! our Generative Media Track from AI Engineer World's Fair 2026. Thesis: everything hard about generative media happens before and after the model runs. - Training Krea 2, what matters in generative model training: Sangwu Lee, - HTML Is All Agents Need: @Rames_Jusso, HeyGen - Building an Agentic Video Editor for Mass Consumer: @katedeyneka, Reelful - The Next Game Engine Won't Have a Manual: @arturonereu, Nereu - While my guitar gently speaks: Todd Fisher, Philo Ventures - Voice agents with Realtime Video: Sidney Primas, LemonSlice - Generative Video at the Speed of Light: @keeganmccallum3, uRun - Infra behind Krea 2, how to train and serve at scale: Gabriel Jorge Menezes, - The Next Medium, why real time interactive video changes everything: @Boudatw, Reactor

The next frontier of AI runs on million-token context windows and generative video pipelines. NVIDIA built Rubin CPX for exactly that moment. But cutting-edge GPU compute has always been concentrated, locked inside hyperscaler data centers, priced out of reach for most builders and teams. Aethir is decentralizing that access: - 430,000+ GPU containers - 94 countries - 200+ locations Enterprise-grade performance without the centralized bottleneck or the Big Tech markup. Frontier compute shouldn't have gatekeepers.

introducing Gemini Omni 1.1 Flash this model brings a new suite of creative controls and generative video capabilities to developers - extend scenes for longer storytelling - specify first and last frames - draft videos more efficiently in 360p - upscale up to 4K resolution - add video references in your multimodal input now available via the Gemini API and in AI Studio

Building creative tools or media editing software? 🎥 Gemini Omni 1.1 Flash is now available through the Gemini API in @GoogleAIStudio, bringing production-ready control to generative video. The latest updates give you the speed, control, and polish needed to launch real-world video apps with: > Scene extension and first/last frame interpolation > Video references for visual and character consistency > Crisp 4K and 1080p upscaling > Faster, lower-cost prototyping in 360p Watch how Omni 1.1 Flash turns static photos into cinematic 4K home tours in this property visualization app:

this is the most incredible piece of AI cinema I have ever seen. if you want a glimpse into the future - this is it. tons of human involvement in scripting, acting, and storyboarding, met with unreal executional capability of generative video models

Say "robotics research" and most people picture someone in a lab — a whiteboard, a benchmark, a paper. Far from the reality of a hotel laundry room, a restaurant kitchen, or a factory floor. That's not how we think about it at Dyna. We build general-purpose robots, and our mission is to bring embodied AI out of the lab and into the real world — every real world, not just one. Which means research that never meets an actual physical environment isn't finished. It's a hypothesis. So we don't treat foundation research and applied research as two separate tracks. They're one loop: what we build in the lab shapes what we try in the field, and what breaks in the field — the failures, the drift, the corrections — is what actually tells us if the model generalizes. Ask anyone who has actually shipped a physical product as a commercial company — phones, drones, automotive, semiconductors — and they'll tell you: you can't defer the reckoning between the lab and the field. A robot doesn't get a grace period — gravity, clutter, and wear don't show up in a training curve, they show up as a failure at a customer site, on day one. Pull lab and field apart and you get a model that's great on a benchmark and fragile everywhere it actually needs to work. We're hiring for both halves of that loop: → Research Engineer / Scientist — architects the frontier: robot learning algorithms (RL, imitation learning, diffusion), VLA and WAM models, and generative video architectures, owned end-to-end from research to real hardware. → Applied Researcher, Deployment Intelligence & Continuous Learning — lives inside deployment: continuous learning from live fleet data, RL from real-world feedback, fleet-wide monitoring, and closing generalization gaps as we roll out to new sites. Multiple roles open. If you'd rather build the system that keeps getting better after it ships than polish an ablation table, we want to talk. #Robotics# #EmbodiedAI# #AppliedResearch# #Hiring#

Grok Imagine Video 1.5 on AI Gateway. Image-to-video generation with synced audio in one pass. 𝚊𝚠𝚊𝚒𝚝 𝚐𝚎𝚗𝚎𝚛𝚊𝚝𝚎𝚅𝚒𝚍𝚎𝚘({ 𝚖𝚘𝚍𝚎𝚕: '𝚡𝚊𝚒/𝚐𝚛𝚘𝚔-𝚒𝚖𝚊𝚐𝚒𝚗𝚎-𝚟𝚒𝚍𝚎𝚘-𝟷.𝟻-𝚙𝚛𝚎𝚟𝚒𝚎𝚠', 𝚙𝚛𝚘𝚖𝚙𝚝: '𝚊 𝚛𝚊𝚋𝚋𝚒𝚝 𝚜𝚙𝚛𝚒𝚗𝚝𝚒𝚗𝚐 𝚝𝚑𝚛𝚘𝚞𝚐𝚑 𝚗𝚢𝚌' });