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Source channel @githubtrending · Post #15062 · Aug 15

#python#mllm#point_clouds#scene_understanding#spatial_intelligence SpatialLM is a powerful 3D language model that turns complex 3D point cloud data from videos, RGBD images, or LiDAR into clear, structured 3D scene layouts showing walls, doors, windows, and objects with labels. It works without needing special equipment and can detect user-specified object categories. This helps you understand and analyze indoor spaces better, useful for robotics, navigation, and 3D design. You can run it on your data, visualize results, and even customize detection tasks easily, making 3D scene understanding more accessible and flexible for many applications. https://github.com/manycore-research/SpatialLM

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Crypto M - Crypto News

@CryptoM · Post #65082 · 04/10/2026, 08:38 PM

🚀 Scroll Users Face Excessive Transaction Fees Due to Multiplier Increases Scroll users incurred over $50,000 in additional transaction fees following six manual multiplier increases that elevated Layer 1 data charges to 1,280 times the original baseline. According to NS3.AI, L2BEAT reported that approximately 139,000 transactions were impacted over a span of roughly four days, with the baseline cost estimated at around $280. On April 9, the team reduced both multipliers by 160 times. Etherfi Cash bots contributed approximately $35,000 of the excess fees during etherfi's migration to Optimism. #Scroll#TransactionFees#MultiplierIncrease#Layer1#L2BEAT#NS3AI#Etherfi#Optimism#Crypto#Blockchain#SCR