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Source channel @olddriverGDstudy · Post #38 · Mar 17

#知识 性爱技巧 有男生问我:爱爱时很快就射,怎么办?我回答:节奏放慢,不要着急插入,而要做足“三个半小时”: 1️⃣狂吻半小时,吻得她透不过气,吻得她嘴肿,让她深切感受到你对她的真实激情; 2️⃣玩弄半小时,在嘴上继续狂吻,在胯下开始抠摸,抠摸她的阴蒂,抠摸她阴道内的各个兴奋点,抠得她忍不住喘气呻吟,全身扭动而顾不上让你再吻; 3️⃣舔阴半小时,上边放开她的嘴,下边抽出你的手,趴下身去,把你的脸紧贴她的阴部,狂吻她的阴唇,狂舔她的阴蒂,狂吸并且狂咽她的阴液,让她浑身发抖,在高潮中连连叫床……这时,这时,你才可以在她“进来,进来,快进来”的连声央求下,从容不迫地挺身而出,掰开她的双腿,奋力插将进去,并且一插到底!这样,即使你很快就射,她也已经像死猪一样顾不上说你什么了!

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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

GitHub Trends

@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

GitHub Trends

@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