This is insane… Claude Design just shipped and it is producing complete UIs, motion design, and animations from text alone. A year ago this required a designer, a motion artist, and a developer. Here are 10 wild examples:
MULTIMODAL AI
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OneStory: Maintaining Plot Consistency in AI Video Generation
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How do we stop AI video generators from forgetting the plot between camera cuts? Meta AI and the University of Copenhagen introduce OneStory to solve the challenge of multi-shot consistency. The model treats video creation as a next-shot task, using a smart memory system to
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Real-world AI copilots: surgery, manufacturing, and critical applications
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The most important AI copilot is not the one writing emails or code, it is the one operating in real-world environments where mistakes have real consequences. In fields like surgery and manufacturing, AI must see, understand, and act correctly in real time. The future of AI will… pic.twitter.com/QYRuUgzS7B
— Satya Mallick (@LearnOpenCV) 20 avril 2026The most important AI copilot is not the one writing emails or code, it is the one operating in real-world environments where mistakes have real consequences. In fields like surgery and manufacturing, AI must see, understand, and act correctly in real time. The future of AI will
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TDM-R1: Fast AI Image Generator Learning from Human Feedback
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What if fast AI image generators could learn from simple human likes and object counts as easily as they learn from complex math? Researchers from HKUST, CUHK Shenzhen, and Xiaohongshu present TDM-R1 to do just that. Most lightning-fast AI models struggle to use real-world
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Xiaomi Cars Advancing Beyond Object Detection to Contextual Intelligence
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A Xiaomi car reportedly flagged a nearby Range Rover as likely undercover police.
— Pascal Bornet (@pascal_bornet) 20 avril 2026
And that is a much bigger signal than it sounds.
What interests me is not whether it got this one case perfectly right.
It is what this points to.
Cars are starting to move beyond seeing objects.… pic.twitter.com/619D9vQ6iNA Xiaomi car reportedly flagged a nearby Range Rover as likely undercover police. And that is a much bigger signal than it sounds. What interests me is not whether it got this one case perfectly right.
It is what this points to. Cars are starting to move beyond seeing objects. -
Chinese Humanoid Robots Outrun Humans Beijing Half-Marathon
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In A First, Chinese Humanoid Robots Outrun Humans In Beijing Half-Marathon https://
youtu.be/G0DqXUJLjs4?si
=cmUhIxLhW6L1o5mZ
… via @YouTube #marathon #halfmarathon #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI @sonu_monika @enilev -
Meta SAM Audio Makes Interactive Sound Design Intent-Based
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My takeaway: Audio is finally becoming interactive.
You don’t mix sound anymore, you point at intent. That’s what Meta’s SAM Audio project is pointing toward, and it has real implications for creators, product teams, and anyone building with multimodal AI. Watch the full video -
AI Model Splits Audio Into Target Sound and Background
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Under the hood, the model does one powerful thing: It splits sound into two parts → → The target sound
→ Everything else That single capability unlocks a lot → → Faster editing for creators
→ Cleaner, more controllable data for AI training
→ Multimodal systems that -
AI Audio Tool Adapts to Human Intent Through Multiple Interfaces
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The big unlock is simple but profound: Instead of forcing humans to adapt to audio tools, the model adapts to human intent. You can guide it three ways → → Type what you want, like “keep only the voice”
→ Click where the sound happens in the video
→ Mark a moment in time -
Meta’s AI Audio Editing Tool Simplifies Sound Cleaning
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What if cleaning audio was as easy as clicking on a pixel?
— Ronald van Loon (@Ronald_vanLoon) 20 avril 2026
Not tweaking EQs.
Not guessing with filters.
Just pointing to the sound you want, and telling the AI, keep this.
I’ve been digging into @Meta’s latest work, and it quietly changes how we think about audio editing. pic.twitter.com/xag6nbEavdWhat if cleaning audio was as easy as clicking on a pixel? Not tweaking EQs.
Not guessing with filters. Just pointing to the sound you want, and telling the AI, keep this. I’ve been digging into @Meta
’s latest work, and it quietly changes how we think about audio editing.