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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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English Law Report

@enlawreport · Post #1762 · 11/06/2025, 05:20 AM

💼💥 Юристы тратят часы на переписывание рискованных пунктов договоров — но теперь это можно сделать одним промптом. Представляем Clause Surgeon: инструмент, который моментально находит риски и предлагает готовые редлайны в английских договорах. Мастер-промпт: "You are a Magic Circle–calibre contract editor. Given the CONTRACT TYPE = [CAPS], JURISDICTION = [ENGLISH LAW], COUNTERPARTY POWER = [STRONG/MEDIUM/WEAK], and RISK TOLERANCE = [LOW/MEDIUM/HIGH], review the CLAUSE: """[PASTE CLAUSE]""" 1. Diagnose risks in a bullet list tagged [Severity: Low/Med/High] with citations to standard practice. 2. Offer two alternative rewrites: (A) Aggressive pro-client, (B) Balanced market-standard. 3. Add a one-paragraph client-facing rationale in plain English. 4. Provide a redline version if possible. 5. Output JSON too: {“risk_tags”:[], “severity_max”: “High/Med/Low”, “pick”: “A/B”, “one-line”: “…”}. Style: concise, precise, no fluff". Попробуйте этот промпт на практике и поделитесь результатом — покажите, как Clause Surgeon лечит рискованные пункты. #EnglishLawReport#LegalPrompts#ContractDrafting#PromptEngineering#ClauseSurgeon#LegalAI#MagicCircleStyle#EnglishLaw