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Source channel @olddriverGDstudy · Post #37 · Mar 17

1.前戏长点,能亲的不只嘴,还有锁骨、胸、大腿内侧 。侧着在后面含着耳垂舔。 2.后入时抓手臂更好用力,注意不要抓手腕(会弄疼女孩子),抓肩膀也可以哦。 3.大部分女生的耳朵是敏感处吧,吹气、低声说骚话真的会让女生不自觉地把腿夹紧。 4.洗白白吻遍身体很nice哦。 5.揉着胸从下面顶在洞口,没有见过不湿的。先来正常姿势,等她湿了就用龟头在洞口探进去再出来,一直挑逗,过一会就会发现她自己往里吸,忍着等她忍不住浑身扭,求你再进入。开始慢点,等明显感觉她夹得很紧,再开始。 #知识

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@githubtrending · Post #15062 · 08/15/2025, 12:30 PM

#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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@githubtrending · Post #15528 · 02/28/2026, 12:00 PM

#python#agent#android#app#automation#copilot#gui#mllm#mobile#mobile_agents#multimodal#multimodal_agent#multimodal_large_language_models Mobile-Agent-v3.5 is Alibaba's top GUI agent family using GUI-Owl 1.5 models (2B to 235B sizes) for automating desktop, mobile, and browser tasks like stock checks, bookings, or document creation with planning, reflection, and memory. Try free online demos on ModelScope or Bailian, or use limited-time APIs—no setup needed. It leads 20+ benchmarks for real-world use. You benefit by saving time on repetitive tasks, boosting productivity, and handling complex operations hands-free across devices. https://github.com/X-PLUG/MobileAgent

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@githubtrending · Post #14639 · 04/27/2025, 01:00 PM

#python#agent_computer_interface#ai_agents#computer_automation#computer_use#grounding#gui_agents#in_context_reinforcement_learning#memory#mllm#planning#retrieval_augmented_generation Agent S2 is a smart AI assistant that handles computer tasks by breaking them into smaller steps and using specialized tools for each part, making it highly adaptable and efficient across different systems like Windows and Android. It outperforms other AI tools in completing complex tasks, learns from experience, and adjusts plans as needed, helping users automate digital work more reliably and effectively. https://github.com/simular-ai/Agent-S