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  • Visual AI Agents Replace Text Input at Art Fair

    By

    @datachaz

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    Typing is a bug. Or maybe we just got used to it. At Art Central, something felt a bit off. It’s a major international art fair, 100,000 people moving through the space all day — but almost no one was typing. Instead, they were just holding up their phone, trying to make sense of what’s in front of them. Not searching, not prompting. Just looking, and letting AI make sense of it in real time. And it wasn’t just a one-off. You’d see it happen again and again, across different booths, different people, different moments. At some point it stopped feeling like a demo, and started feeling like how people naturally use visual agent @Chance_vision . If AI is supposed to understand the real world, why are we still forcing it into text?

    → View original post on X — @datachaz

  • Avatar V: Revolutionary AI Character Consistency Technology Unveiled

    By

    @aihighlight

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    Introducing Avatar V. We’ve solved character consistency. Forever. Record yourself once for 15 seconds. From there, you can show up anywhere, in any look, and it still feels like you. Any photo becomes a video that looks, moves, and speaks like you, down to your mannerisms and quirks. This is the most advanced AI avatar model in the world. And we know that’s a big claim, so we brought the data to prove it. Thread below:

    → View original post on X — @aihighlight, 2026-04-08 15:01 UTC

  • Genspark AI Workspace 4.0: AI Employee Now Works Everywhere

    By

    @scobleizer

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    🚀 Introducing Genspark AI Workspace 4.0: Your AI Employee, Now Everywhere In 3.0, we gave you your first AI employee on a cloud computer. In 4.0, your AI employee leaves the cloud — and meets you where you actually work: on your desktop, inside Microsoft Office, in every meeting, across every workflow. Here's what's new: 1/ Genspark Claw for Desktop — Your Claw that works directly on your computer, now with Computer Use. Open apps, manage files, and handle tasks across your desktop, just like you would. 2/ Genspark for Microsoft Office — Genspark AI Slides, Sheets, and Docs Agents natively embedded in PowerPoint, Excel, and Word. 3/ Speakly: Live Translation & AI Meeting Notes — Real-time captions in your language for any meeting. Plus, AI Meeting Notes is now available in Speakly. 4/ Genspark Advanced Workflows — Faster, smarter automation built on OpenCode. See the demo in our livestream piped.video/live/3n_7Z_LwVS8…

    → View original post on X — @scobleizer, 2026-04-08 10:27 UTC

  • FLUX.2 Small Decoder: 1.4x Faster Drop-in Replacement Released
    FLUX.2 Small Decoder: 1.4x Faster Drop-in Replacement Released

    By

    @scobleizer

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    Releasing FLUX.2 Small Decoder: a faster, drop-in replacement for our standard decoder. → ~1.4x faster → Lower peak VRAM – decode larger images without running out of memory → Minimal quality loss → Works with FLUX.2 out of the box Especially impactful for real-time and larger resolutions pipelines.

    → View original post on X — @scobleizer, 2026-04-08 09:58 UTC

  • Flexible Time in Spatial Intelligence: Executive Applications

    By

    @ronald_vanloon

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    What got my attention is that time becomes flexible too. You can: → move forward → rewind → return to a moment and analyze it from another angle That changes the use case entirely. This is not passive content. It is interactive spatial intelligence. For executives, that opens up serious implications for: → robotics training → immersive game creation → real-world event analysis → simulation-driven decision making

    → View original post on X — @ronald_vanloon, 2026-04-08 08:32 UTC

  • From Recording Reality to Reconstructing It: Platform Shift

    By

    @ronald_vanloon

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    My biggest takeaway: We are moving from recording reality to reconstructing it. That is a major platform shift, and the companies that understand it early will have an edge in how they train, build, and analyze. Watch the full video to see what this looks like in practice, and check out what InSpatio is doing with InSpatio World. Where do you think navigable video becomes most valuable first, robotics, gaming, training, or real-world analysis? Don't miss out on the latest AI advancements! Sign up here to stay informed! intelligentworld.org/discove…

    → View original post on X — @ronald_vanloon, 2026-04-08 08:32 UTC

  • Video generation as a new interface to reality and perspective

    By

    @ronald_vanloon

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    The breakthrough is not just better video generation. It is a new interface to reality. Instead of being locked into one camera angle, you can: → move across viewpoints
    → inspect scenes from new perspectives
    → revisit the same moment from a different position That means

    → View original post on X — @ronald_vanloon

  • Video Evolution: From Media Consumption to Interactive World Exploration

    By

    @ronald_vanloon

    –

    We are getting very close to the point where video stops being media, and starts becoming a world you can explore. Not watch. Explore. That shift is bigger than most people realize, because it changes video from a fixed perspective into an interactive simulation. Here’s why that matters, and what @InSpatio_AI is building…

    → View original post on X — @ronald_vanloon, 2026-04-08 08:32 UTC

  • Cheers: Unified Multimodal Model for Image Understanding Generation

    By

    @jiqizhixin

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    AI could understand and generate images from a single, efficient model! Tsinghua University, Xi'an Jiaotong University, and University of Chinese Academy of Sciences present Cheers! This unified multimodal model decouples fine image details from their core semantic meaning. This new architecture stabilizes AI's understanding while boosting image generation fidelity by selectively re-injecting those details. Cheers matches or outperforms advanced unified multimodal models in both visual understanding and generation. It notably beats Tar-1.5B on GenEval and MMBench, using only 20% of the training cost and achieving 4x token compression. Breakthrough efficiency! Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation Project: github.com/AI9Stars/Cheers Model: huggingface.co/ai9stars/Chee… Paper: arxiv.org/abs/2603.12793 Our report: mp.weixin.qq.com/s/EK6cyCJz5… 📬 #PapersAccepted by Jiqizhixin

    → View original post on X — @jiqizhixin

  • Vero: Open Reinforcement Learning Recipe for Visual Reasoning

    By

    @jiqizhixin

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    Vero: An Open RL Recipe for General Visual Reasoning Paper: arxiv.org/abs/2604.04917v1

    → View original post on X — @jiqizhixin