Ed-爱德华.De

@bi_9527zx @Sizhe_bitcat 从后面撞击怎么会拉安全带？

@Sizhe_bitcat 正常现在的车气囊是与安全带互通的，这种撞击安全带的猛拉会带起气囊，只是这个车不行避坑这个车

大货车司机真倒霉，碰上这种事 我跑高速错过路口，直接踩油门去下一个出口 这小车司机真把高速当自己家了，随意停车 这下好了拖累一家五口全部身亡 就是10个气囊都没弹开也非常离谱

@FengquanF @caiziboshi 这有什么问题？难道要各电视台都竞价花钱去买版权？

@caiziboshi 问题是，早年广电广播总局有个规定，奥运会亚运会世界杯(包括预选赛)只能央视拿版权，这下好了

2026世界杯转播费总结！ 离世界杯还有一个月，中国被要2.5亿-3亿美元转播权，没有谈拢面临无法转播！ 针对2026年世界杯版权争议，核心矛盾在于FIFA的高昂要价与中国市场理性回归之间的剧烈拉锯：FIFA坚持约3亿美元（近20亿人民币）的高额报价，但由于美加墨世界杯绝大多数场次处于北京时间凌晨，商业价值因时差劣势大幅缩水，导致央视及互联网平台在面临“媒体寒冬”时出价极其谨慎；这种谈判僵持已导致版权在赛前一个月仍悬而未决，引发了公众对于能否延续“全场次免费观赛”传统以及转播是否会“开天窗”的深度焦虑。

@usd666666 这不叫擦边，这是跨界

颜值高、身材棒、穿得辣，讲的露，这样的脱口秀女演员，你是在听段子还是在看秀？

@LoneTraveler111 两坨屎

提前给大家做个预测：民主党很快就要彻底烂大街了！中期选举，民主党根本没戏！ 他们通俄造假、选举舞弊，所有违法行径很快就会公之于众。一旦美国老百姓看清真相，那些很多民主党大佬一个个都得进监狱。有关的线索我从2016年就在持续追踪。川普一直在布局、做准备，花了很长时间。现在时机到了！ 现在骂川普的人，大多是因为觉得他迟迟没有动作，等得不耐烦了。等川普真正出手的时候，他的支持率会飙升！ 美国人和华人的想法不一样。很多华人太不了解美国社会，以为美国人和自己一样。华人黑川是听太多谎言，他们从骨子里仇视川普。等到8月，不会再有人公开标榜自己是民主党人，也不会有人好意思自称“进步派”的李伯儒了。那些想拿身份的华人川黑，你们没戏了。 前中情局局长约翰·布伦南将会是第一个被逮捕的人。等你听到这个消息，就知道我说的要成真了。

全国老公们都躺枪了🤣 反正我中枪了🫣

网友只是给狗狗剪了个头发，结果变成人模狗样。🐶

@LoneTraveler111 难道是改变策略了，不再追求不切实际的目标？以后只要能对付中小国家就够了。

就这种破飞机还要和俄国，中国打？ 笑死我。 那些中推上的白痴还在做梦美国把中国打趴下 有点脑子好不好？我2015就在说美国打不赢了。 这都11年了。 -------------------------------- 美国空军旨在将F-15EX“鹰”式机队规模扩大一倍。

@QyeahDc @husainiahmad12 不敢戴三个表

@husainiahmad12 身上还挂了两个表，是计时用的？

万能的AI 啥都能拍

@JohnnyBi_X @Hayami_kiraa 原来你也是双子座的

@Hayami_kiraa 羊肉片自己切的吗👍我也喜欢吃火锅，买不到羊肉片，只能回来自己切，每次都一坨一坨的😂

上个周末在家里请朋友来吃火锅，第一次。感觉这是德国生活非常重要的里程碑感，因为请朋友来家里吃火锅需要： 1. 一个完全独立的空间 2. 一个很大的客厅 3. 一份想要 host 的心情 4. 很多很多的收拾（德国家里洗碗机是标配但我家没有……） 因为实在太麻烦了，总感觉是一个巨大的工程，一直期待能有一天能把它完成。周末把房间打扫得一尘不染，去买了电磁炉，买了鸳鸯锅，去越南市场买了新鲜的绿叶菜；又用国内转运的贵州酸汤和王刚四川牛油，煮上了底料。 朋友也都非常非常好，一起准备了很多食材和饮料（一个朋友从荷兰刚下飞机过来，还带来了很美味的曲奇。是那种会提着曲奇去朋友家做客的甜甜女孩！）我都准备好等他们走了之后自己收拾了，没想到大家二话不说撸起袖子洗了所有的碗，然后一行人又浩浩荡荡转到客厅吃曲奇。 来德国后变内向了非常多，社交也精简到不能再精简。发现自己是一个不需要被朋友环绕着才能感到充盈的人，所以就也不爱张罗。更多时间喜欢一个人待着，和大自然一起待着。 但也时时刻刻有 awareness, —— 要定期创造见面机会，catch up, 吃饭也好，聊天也罢，在谈话间留下一些美好的回忆。以及更重要的是，见证彼此兵荒马乱的移民生活中小小的里程碑。 于是准备五月底从挪威回来，也在柏林开一个小小的生日派对啦！

@lydia488144315 不好用股票的增值举例。之前有人建议没卖出的股票也要按浮赢交税。

假设一下……我们正在为从未赚到的钱缴税。 好好想想。 假设我在2009年以16万美元的价格全款买下了房产。 现在，县政府说它的价值是44.6万美元。 我卖掉了吗？没有。 我赚了钱吗？没有。 我收到44.6万美元的支票了吗？没有。 但我的税款却像我一样暴涨了。 问题就在这里。 这不是收入。 这不是现金。 这只是有人在纸上定下的一个数字，现在却要我为此缴税。 如果我的股票投资组合翻了一番，我只有在卖掉股票后才需要缴税。 如果我的收入没有增加，我也不会凭空多缴所得税。 那么，为什么拥有房产的情况就不同呢？ 为什么我要为未实现的收益缴税？ 房子不仅仅是一项投资，更是人们居住的地方。而这套体系意味着，即使你一切都做得尽善尽美，还清了房贷，每年仍然会因为一个你从未真正获得过的价值而被加重税负。 如果某样东西会被税收榨干，那么它就称不上真正属于你。 这无关乎“服务”或“通货膨胀”，而是关乎你为从未获得的价值付费。 是时候让人们意识到这一点了。

友情提示：看视频前请关闭疼痛共享！

干饭人的倒霉瞬间 声明： 笑死人不负责！

@biantaishabi5 今年才过去不到三分之一

印度空军前天坠毁的飞机证实是一架印度自研的 Netra Mk1预警机。此型机采用巴西EMB-145飞机改装，印度仅有3架。今年至今印度空军总共坠毁了8架各型飞机。

@w_yy9179791 @raymondtai76 @KELMAND1 往日本扔？炸占领军？

@raymondtai76 @KELMAND1 不可能。美国难以为了一个台湾岛，宁愿华盛顿，纽约被核弹炸。完全不对等。如果日本不参战，中国去攻击日本，战争规模失控，有全面战争的苗头，美国才有可能扔核弹。

CSIS报告：只要不考虑和东大打，美国弹药肯定够，如果考虑和东大打，弹药怎么都不够，所以干脆放下和东大打的念头...所谓投共一念起，刹那天地宽...

An MIT professor taught the same math course for 62 years, and the day he retired, students from every country on earth showed up online to watch him give his final lecture. I opened the playlist at 2am and ended up watching three of them back to back. His name is Gilbert Strang. The course is MIT 18.06 Linear Algebra. Every machine learning engineer, every data scientist, every quant, every self-taught programmer who actually understands how AI works learned the math from this one man. Most of them never set foot on MIT's campus. They just opened a free playlist on YouTube and let him teach. Here's the story almost nobody tells you. Strang joined the MIT math faculty in 1962. He retired in 2023. That is 61 years of standing at the same chalkboard teaching the same subject to 18-year-olds. The interesting part is what he did when MIT launched OpenCourseWare in 2002. Most professors were skeptical. They worried that putting their lectures online would make their classrooms irrelevant. Strang did not hesitate. He said his life's mission was to open mathematics to students everywhere. He filmed every lecture and gave it away. The decision quietly changed how the world learns math. For decades linear algebra was taught the wrong way. Professors started with abstract vector spaces and proofs about field axioms. Students drowned in the abstraction. Most never recovered. They walked out believing they were bad at math when they had simply been taught in an order that nobody's brain is built to absorb. Strang inverted the entire curriculum. He started with matrix multiplication. Something you can write down on paper. Something you can compute by hand. Something you can see. Then he showed his students that everything else in linear algebra eigenvectors, singular value decomposition, orthogonality, the four fundamental subspaces was just a different lens for understanding what the matrix was actually doing under the hood. His rule was strict. If a student could not explain a concept using a concrete 3 by 3 example, that student did not actually understand the concept yet. The abstraction was supposed to come last, not first. The intuition was the foundation. The proofs were just confirmation that the intuition was correct. The second thing Strang changed was the classroom itself. He said please and thank you to his students. Every single lecture. He paused mid-derivation to ask "am I OK?" to check if anyone was lost. He never used the word "obviously" or "trivially" because he knew exactly what those words do to a student who is one step behind. He treated 19-year-olds learning math for the first time the way he treated his own colleagues. With patience. With respect. With the assumption that they belonged in the room. For 62 years. The result is something that has never happened in the history of education. A single math professor became the default teacher of his subject for the entire planet. Universities in India, China, Brazil, Nigeria, every country with a computer science department, started telling their own students to just watch Strang's lectures. The University of Illinois revised its linear algebra course to do almost no in-person lecturing. The reason was honest. The professor said they could not compete with the videos. His final lecture was in May 2023. The auditorium was packed with students who had never met him before. He walked to the chalkboard, taught for an hour, and at the end the entire room stood and applauded. He looked confused for a moment, like he genuinely did not understand why they were cheering. Then he smiled and waved them off and walked out. His written comment under the YouTube video of that final lecture was four sentences long. He said teaching had been a wonderful life. He said he was grateful to everyone who saw the importance of linear algebra. He said the movement of teaching it well would continue because it was right. That was it. No book promotion. No farewell speech. No legacy management. The man whose teaching is the foundation of modern AI just thanked the audience and went home. 20 million views. Zero ego. The entire engine of the AI revolution sits on top of math that millions of people learned for free from one quiet professor in Cambridge. The course is still on MIT OpenCourseWare. Every lecture, every problem set, every exam, every solution. Free. The most important math course of the 21st century is sitting one click away from you. Most people will never open it.

@chukuang2018 产地：广州

大家看看，你能一眼就认出这个物品吗？

@Danyixia 这窗户关不上了吧

中国河南省，热心女士趁鸟爸鸟妈不在的时候赶紧给他加固了一下窝，平时鸟爸鸟妈每次顶多出去半个小时，今天加固以后三个小时没回窝，一直等到11点终于肯回窝了，看到他回窝的那一刻才放下心！

@lihaixx @robin__liang @Alex8282019 不是吧？很多地方破破烂烂的反而物业税高，因为缺少工商业来交税，就只能多收地税了。当然，这样的地方，地价和房价都很低。

@robin__liang @Alex8282019 美国敢收2%税的，基本上都是经典名校学区房了，对标的是上海徐汇黄埔核心区的位置。上海这种地方的房子，中位数收入的家庭就别考虑什么持有成本吧。因为随便一个三房的老破小，100年的收入都不够。

大家都喜欢中美对账，那就再对个房价的账吧。有些人说美国人工作几年就能买房，那不是事实。美国人买房跟中国人一样苦逼。太穷的地方就不说了，因为鹤岗在哪里都没意义。说大城市吧。洛杉矶房价2025年中位数在90万美元。而家庭年收入（四口之家）中位数在9万美元左右。一个家庭不吃不喝买房也是十年起步。你要是贷款买，算上三十年利息总体成本还要翻个倍，跟中国房奴是一样的。 更关键是，美国养房成本比中国高，房产税（房价1%左右，动态计算）、房屋保险（大几千）、物业管理（小几千），水电煤气网络等等也不便宜。比中国房产好的是，美国房产主要价值在地皮，房子老化不要紧，地皮价值终究在。 所以，其实买房这件事，不管哪个国家，对工薪阶层都是不容易的事，几乎都是要咬牙奋斗一辈子，没有轻松可言。

最近用GPT image 2 做故事板分镜来生成可预见性的视频的工作流很火，但是我还是要泼下凉水，个人感觉分镜这个不是正途，至少GPT的分镜做不到高水平，原因很简单，GPT出图的风格太过单一了，全是差不多的风格，噪点多，细节太多导致缺乏虚实对比，画面也不够灵动，也说不上来原因，有点不透气的感觉，出一般要求不高的广告也还好但是要达到工业级电影就差点意思了。