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Source channel @olddriverGDstudy · Post #53 · Mar 24

#知识#接吻 第一式:舔吻 用舌舔对方的上下唇,让对方感受舌部味蕾舔掠的感觉,注意要保持唾液的充分,如果唾液太少,干燥的舔吻会有不舒服的感觉。 第二式:咬吻 用牙齿轻咬对方的唇,但别咬的太用力,以免受伤喔! 第三式:吸吻 轻轻的吸吮对方的唇部;可用自己的唾液轻抹在对方的唇部,然后吸吮干净。 第四式:推动吻 把舌伸进对方口中,让舌与舌互相推放,男生力气应放小,以免女生疼痛;这种互推吻可形成快感。 第五式:吸舌吻 以你的唇含住他的舌,轻轻的吸吮对方的舌头,动作宜缓慢而轻柔,勿过于仓促。 第六式:齿龈吻 用舌探索对方的牙及牙龈的内外两侧,以刺激口内粘膜为目的。动作要仔细,慢,轻柔的介于碰触与不碰触之间,以产生一种特殊的亲密感。 第七式:滑动吻 用舌尖稍用力的舔对方的舌部内侧,由里向外滑舔。 第八式:舔舌吻 双方以舌对舌互舔,以用舌尖为主,不用唇。 第九式:嚼食之吻 咬住对方的舌头,似欲吞食般的吻;请小心别用力过火,只是假装而已。想像对方的舌头是好吃的东西,又咬又舔又吸的想吞进肚子里去。 第十式:律动之吻 以舌在对方的口中,有节奏律动般的的绕着对方的舌尖,画圈似的舔吻。 第十一式:深喉咙吻 将舌深入对方的喉咙重舔。重压,是霸道占有般的吻;这是一种颇不舒服的吻法,但还是有乐在其中的人。 第十二式:热情之吻 将自己的舌把对方的舌包卷于口中,上下左右回旋翻动,用放肆的旋动来增加快感,虽嫌粗鲁但颇具挑战性,是接吻高手必备的技巧之一。 第十三式:甘泉之吻 利用两唇相接时……以舌将自己的唾液渡入对方口中,并吸食对方的唾液。适用于两情相悦且身体健康的爱侣,会觉入口之唾液为琼浆玉液般,世间独有。

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@Isaiahsystem · Post #1203 · 06/30/2024, 07:23 AM

Related Subreddits丨Reddit 探索神器 https://anvaka.github.io/sayit/?query=Nietzsche 最近发现的爆炸网站,Reddit 相关论坛探索,Reddit 关键词图谱。它能根据你给出的任意论坛名字或关键词,编织出整个论坛与之相关的子板图谱,与之关联。点击图谱按钮,再点击弹出的侧边栏子板名字,即可跳转。 网站提到这种图谱关系生成由「发布到此 Subreddit 的用户也发布过的其它板块」决定,并通过 Jaccard Similarity(衡量两个集合相似度的指标)来最终确定板块相似度。 Reddit 作为我 RSS 常驻网站之一,挖掘得比较少,这个网站可以好好用用。它类似前面用过的 music map 以及各种论文网站图谱,详情见下面 refs. 相关链接 1 可视化图谱 2 搜索引擎终极索引 #search#graph#tools

GitHub Trends

@githubtrending · Post #14632 · 04/25/2025, 12:00 PM

#python#agents#graph#llms#rag Graphiti helps AI systems handle constantly changing information by building real-time knowledge graphs that track relationships and historical data, allowing them to integrate user interactions, business data, and external sources seamlessly. Unlike traditional methods, it updates information instantly without needing full recomputations, enabling precise historical queries and efficient hybrid searches. This helps AI applications stay context-aware, automate tasks effectively, and manage complex, evolving data with minimal delay. https://github.com/getzep/graphiti

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@cosplayuploadtest2 · Post #102714 · 03/23/2025, 03:36 AM

Title: Iori_Sagara_相楽伊織,_GIRLS_graph._デジタル写真集_「泡沫の宵夢」_Set.02 Authors: #None Tags: #None#Iori_Sagara_相楽伊織#Nogizaka46_乃木坂46#デジタル写真集#Iori#Sagara#相楽伊織#GIRLS#graph#デジタル写真集 #「泡沫の宵夢」 #Set #02 recommendation: None TelegraphLinks:page-0-32

cosplayupload

@cosplayuploadtest2 · Post #102682 · 03/23/2025, 03:34 AM

Title: Iori_Sagara_相楽伊織,_GIRLS_graph._デジタル写真集_「泡沫の宵夢」_Set.01 Authors: #None Tags: #None#Iori_Sagara_相楽伊織#Nogizaka46_乃木坂46#デジタル写真集#Iori#Sagara#相楽伊織#GIRLS#graph#デジタル写真集 #「泡沫の宵夢」 #Set #01 recommendation: None TelegraphLinks:page-0-28

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@githubtrending · Post #14649 · 04/30/2025, 01:00 PM

#typescript#csv#diagrams#graph#json#nextjs#react#tool#visualization#yaml JSON Crack is a free, open-source tool that instantly turns complex JSON, YAML, CSV, XML, or TOML data into clear, interactive graphs, making it easier to explore and understand your information. It lets you convert between formats, validate data, generate code (like TypeScript interfaces), run queries, and export visuals as images—all while keeping your data private since everything processes locally on your device[1][2][5]. https://github.com/AykutSarac/jsoncrack.com

GitHub Trends

@githubtrending · Post #14878 · 06/28/2025, 02:00 PM

#cplusplus#arduino#cansat#csv#embedded#graph#ground_station#iot#microcontroller#network#projects#qt#serial#serial_studio Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5]. https://github.com/Serial-Studio/Serial-Studio

GitHub Trends

@githubtrending · Post #15518 · 02/24/2026, 11:30 AM

#rust#ai#ai_ocr#attention_mechanism#gnn#gnn_model#gnns#graph#graph_neural_networks#llm_inference#low_latency#mincut#neo4j#ocr#onnx#rust#vector#wasm RuVector is a free, open-source vector database that gets smarter with every query. Unlike static databases, it learns from usage via GNN layers, runs LLMs locally with no cloud costs, supports graph queries like Neo4j, scales freely across nodes, and deploys as a single self-booting file (125ms startup). Run with `npx ruvector`. You benefit from faster, more accurate AI search that improves automatically, zero operating costs, full offline/privacy control, and easy scaling—perfect for RAG, agents, or edge apps without vendor lock-in. https://github.com/ruvnet/ruvector