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Spatial Intelligence just went Open Source. 🌐 Introducing InSpatio-WorldFM — the world’s first open-source real-time interactive 3D world model. Last October, World Labs's RTFM showed the vision. Today, we’re bringing that idea into the open for everyone. ✅Efficient, multi-view consistent spatial reasoning ✅Real-time interactive exploration ✅Open-source weights & code...

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InSpatio｜影溯

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37,107 просмотров • 4 месяцев назад •via X (Twitter)

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We don’t generate videos. 🎬 We generate worlds from videos. 🌍 Introducing InSpatio-World — the world's first open-source real-time 4D world model‼️ Your input: a video clip Our output: a dynamic, navigable, persistent world 🕹️ explore freely across viewpoints ⏪ control time forward and backward 🔓 open-source and ready to build on :) Live demo: 🔗 Code & weights: 🔗 Project page: 🔗

InSpatio｜影溯

109,748 просмотров • 4 месяцев назад

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world models are here! fal is the best platform for real-time audio and video inference. RT for access 😇 incredible work by Eloi Alonso to open source this model
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world models are here! fal is the best platform for real-time audio and video inference. RT for access 😇 incredible work by Eloi Alonso to open source this model

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💥 A 450M model just beat bigger VLAs on real robot tasks, and it’s 100% open source [📍 bookmark for later] Came across SmolVLA, a new vision-language-action model for robotics that’s compact, fast, and trained entirely on open community datasets from LeRobot via Hugging Face. What stood out to me is how it matches or outperforms much larger models like ACT using noisy, real-world community data instead of giant private datasets. Why it’s worth a look ✅ 26% performance boost from pretraining on open-source data ✅ Runs on consumer hardware, even a MacBook ✅ 30% faster responses with async inference and smart architecture tweaks ✅ Strong results across Meta-World, LIBERO, SO100, and SO101 ✅ Fully open source: weights, code, training pipeline, eval stack They also introduced smart efficiency tricks like using fewer visual tokens, pulling outputs from mid-layer, and separating perception from action to make it all run fast. SmolVLA is a strong case for what can happen when the robotics community shares data and builds in the open. Definitely worth keeping an eye on.

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