"2D-to-3D spatial design: the future of architecture and manufacturing"

🚀 AI Innovation Breakthrough: Transforming Single Images into Living, Breathing Avatars Imagine turning a static image into a dynamic, interactive digital persona in real-time. That's exactly what cutting-edge AI companies are achieving right now! 𝗗𝗮𝘇𝘇𝗹𝗲 𝗔𝗜, founded by the visionary Marissa Mayer, is pioneering a new frontier of AI interaction. Their latest technology can transform a single portrait, illustration, or artwork into a fully animated, conversational avatar capable of: • Generating real-time facial animations • Performing nuanced hand gestures • Enabling fluid body movements • Supporting multiple use cases from education to healthcare What makes this truly revolutionary is the technology's accessibility and potential. *𝘛𝘩𝘪𝘴 𝘪𝘴 𝘯𝘰𝘵 𝘫𝘶𝘴𝘵 𝘢𝘯 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯—𝘪𝘵'𝘴 𝘢 𝘨𝘢𝘮𝘦-𝘤𝘩𝘢𝘯𝘨𝘦𝘳 𝘪𝘯 𝘩𝘰𝘸 𝘸𝘦 𝘪𝘯𝘵𝘦𝘳𝘢𝘤𝘵 𝘸𝘪𝘵𝘩 𝘥𝘪𝘨𝘪𝘵𝘢𝘭 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦𝘴!* Who else is excited about the future of AI interaction? 🤖✨ #AIInnovation #FutureOfTech #DigitalTransformation #AIAvatar Thoughts? Drop a comment below! 👇

With each episode of Stuff I'm Saving for Later, I try to improve the craft by at least 1 percent. For this one, I made a few small upgrades. I fixed my previous audio issues by switching to the DJI Mic Mini, experimented with a new pattern background, and refined the intro shot to make everything feel more intentional. Here's the inspiration featured in the video: 🟧 XR inspiration: mini proxies that solve ergonomic reach 🟦 AI inspiration: persona-based agents that feel more human 🟪 XR + AI inspiration: sketching shoes in 3D before they exist, from Nigel Hartman ᯅ (Link to his post: https://lnkd.in/gcQ2PCEg ) These ideas remind me that even as tech evolves, the most meaningful innovations still start with the human experience. You can see my full consolidated inspiration list here: https://lnkd.in/g9ksd_Ak #XR #AI #ProductDesign #HCI #MixedReality #UXDesign #ContinuousImprovement

🚀 𝗙𝗮𝗰𝗶𝗮𝗹 & 𝗕𝗼𝗱𝘆-𝗣𝗮𝗿𝘁 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗜𝘀 𝗣𝗼𝘄𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗡𝗲𝘅𝘁 𝗪𝗮𝘃𝗲 𝗼𝗳 𝗛𝘂𝗺𝗮𝗻-𝗔𝘄𝗮𝗿𝗲 𝗔𝗜 Most AI teams don’t have a model problem… They have a 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝗯𝗹𝗲𝗺. Pixel-perfect segmentation of faces, hands, joints, and expressions is what unlocks: ✨ Realistic AR/VR ✨ Driver monitoring & safety ✨ Virtual try-on ✨ Gesture-based AI ✨ Healthcare diagnostics But this level of precision is HARD — occlusions, lighting, fast motion, and micro-expressions can break even the best models. That’s why 𝗵𝗶𝗴𝗵-𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝘀𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗱𝗮𝘁𝗮𝘀𝗲𝘁𝘀 have become the secret weapon behind the world’s most advanced AI systems. If you’re building human-aware AI, segmentation isn’t optional — 🔹 It’s the foundation. 🔹 It’s the differentiator. 🔹 It’s the accuracy multiplier. Want to see what pixel-level annotated datasets can do for your model? Happy to share examples. #AI #ComputerVision #Segmentation #FacialRecognition #BodyPartSegmentation #Shaip #MachineLearning #DataAnnotation #AR #VR #DriverMonitoring

🌍 Moonlake AI recently unveiled #Reverie, a real-time video #diffusionmodel built specifically for game environments. Unlike traditional generative models designed for cinematic, linear output, Reverie is "game-native." It treats generation as a programmable layer that operates at frame time, maintaining visual consistency while reacting to player input and in-game logic. 🔍 The #AI model is designed to run at frame-rate speed, allowing for 100x faster iteration in environment design without breaking the underlying game mechanics or physics. Considering this, the model could unlock future opportunities such as: 🔹 Instantly reskinning environments or assets to suit individual player preferences (or regional markets' ones for brands) without bloating the build size. 🔹 Developers could "vibe-code" interactive spaces, using AI to realise complex visions through programmatic control rather than manual asset creation. 🔹 Reducing the storage overhead of massive open worlds by generating consistent, high-fidelity textures and geometries on the fly. The next step are clearly AI #WorldModels, able to show virtual spaces and, at the same time, to understand the rules of that space. This is a foundational step for applications like industrial #digitaltwins, synthetic #training environments for humans and robotics and many more, where the visual layer must stay perfectly synced with logical constraints. It looks like the era of static environments is ending, and we are entering the age of programmable #simulation, adaptable on the go for every need. Links in the comments. #GenerativeAI #SimulationTech #XR #VR #gaming #Technology #ArtificialIntelligence #MoonlakeAI

In the past, we didn’t attach much meaning to NPCs; they were background elements whose actions were largely undefined. Today, however, we are talking about systems that recognize the player, learn from their behavior, and dynamically shape the story in real time. Artificial intelligence continues to evolve rapidly. However, as shown in the video I shared, when it comes to visual design and production—regardless of the discipline—AI tools still have a long way to go. Although the AI-generated result based on my drawing may look good at first glance, limited production time and noticeable loss of detail remain significant issues. May 2026 bring everyone health, happiness, and the opportunity to create games that open doors to great success and prosperity. #art #AI #3d #2d #stylized #gameart #gamedevelopment #mobilegames #newyear 

The AI race just took a massive leap forward. Runway didn't just release another video model - they launched GWM-1, the first physics-aware world model that actually understands how reality works. Here's why this changes everything: ✓ Real-time physics simulation - objects fall, bounce, and interact naturally ✓ Interactive control - move cameras, control robots, manipulate environments ✓ Three specialized variants: Worlds (explorable environments), Avatars (conversational characters), Robotics (manipulation training) ✓ Frame-by-frame prediction that maintains spatial consistency But here's the kicker: This isn't just about better videos. GWM-1 creates infinite explorable realities. Walk through a city, fly over mountains, navigate warehouses - all generated in real-time with perfect physics. For robotics? Game-changing. Instead of expensive real-world training, robots can now learn in photorealistic simulations that behave exactly like reality. For gaming and VR? Revolutionary. No more manually designing every space - AI generates coherent, reactive worlds as you explore. For content creators? The Gen-4.5 update adds native audio generation and multi-shot editing, making professional-quality video production accessible to everyone. Runway just positioned itself directly against Google and OpenAI in the world model race. And honestly? They might be winning. The future where AI agents learn in simulation before acting in reality isn't coming - it's here. What industry do you think will be transformed first by physics-aware AI simulation?

🚀 The AI video revolution just took a MASSIVE leap forward! Runway just dropped GWM-1 - their first world model that doesn't just generate videos, it understands PHYSICS. Here's why this is game-changing: ✓ Frame-by-frame reality simulation with physics understanding ✓ Three specialized versions: GWM-Worlds, GWM-Robotics, and GWM-Avatars ✓ Real-time interactive environments at 24fps, 720p ✓ Training ground for AI agents in robotics and gaming But wait, there's more! 🎬 Gen 4.5 now includes: ✓ Native audio generation ✓ One-minute videos with character consistency ✓ Multi-shot storytelling capabilities ✓ Complex camera angles and dialogue This isn't just about better videos - it's about creating digital worlds that behave like reality. Imagine: → Training robots in simulated environments → Interactive gaming worlds that respond realistically → Avatar creation that mimics human behavior → Content creation with physics-aware storytelling The race between Runway, Google's Genie-3, and OpenAI just intensified. We're witnessing the birth of AI systems that don't just create content - they understand how the world works. What applications do you see for physics-aware AI models in your industry? #AI #ArtificialIntelligence #VideoGeneration #WorldModels #Runway #TechInnovation #DigitalTransformation #ContentCreation

What is LongVie 2? And Why Long Vie 2? Chinese just drop an AI video world model designed to generate long, coherent videos lasting several minutes, not just short clips. In simple terms Most AI video tools can create a few seconds of motion and then fall apart. LongVie 2 remembers what happened earlier and keeps the story visually and logically consistent over time. What makes LongVie 2 different 1) Long-form video generation Can generate videos up to 3–5 minutes, instead of 5–10 seconds. 2) Memory over time It understands past frames and uses them to guide future ones. 3) World modeling Treats a video like a living environment where objects, motion, and scenes evolve naturally. 4) High controllability Can follow motion paths, camera movement, structure, and scene logic. 5) Stable quality Avoids flicker, sudden jumps, and visual decay common in long AI videos. Why it matters LongVie 2 moves AI video from: clips → stories frames → timelines visuals → simulated worlds It’s a research-level breakthrough pointing toward the future of AI filmmaking, simulations, immersive media, and virtual worlds. Think of it as an AI that doesn’t just create video it understands continuity. #GenerativeAI #AIVideo #CreativeAI #FutureOfMedia #VisualDesign #LONGVIE2 #AIConsultant #ChinaAI #DohaTech #QatarAI #QIAQATAR #QIA

No edits. Just real-time AI. Running inside Hyperspace right now: real-time AI video avatars. In this clip, Suzanne from our team is having a live, face-to-face conversation inside a 3D space with AI Santa🎅 . No post-production, no voice-overs, just the tech in action. Why this matters for 2026: One of the biggest hurdles in digital training is the lack of human presence. By bringing real-time video agents into these immersive spaces, we’re moving from chat interfaces to face-to-face practice. It turns a simulation into a real conversation, making mistakes safe and helping learning stick. Comment AVATAR for updates! #AIVideo #AIAvatars #AIAgents #LearningAndDevelopment #SpatialComputing

Meta AI. Create 3D objects from images. The technology is open source so free for everyone. It's called SAM 3D. It works in real time. In development. (a) Segment: It's like reaching into a picture, picking up an item and lifting it off the page. If you rotate it, you'll see every angle or vantage point. (b) 3D scenes: Yep, you can create scenes. (c) Characters: Grab a person from a picture. They can become your next lead actor. == NanoBanana Pro mainly provides consistency.