by Jean
Dancing to death,will you? 加听友群:Jeansnumber
Language
🇨🇳
Publishing Since
10/31/2021
Email Addresses
1 available
Phone Numbers
0 available
March 15, 2025
<p>补充信息:</p><p>世界上第一位程序员是奥古斯塔•埃达•金(拜伦的女儿),第一位建立起神经系统和电流之间的关系是玛丽•戈德温(被誉为wifi之母),都是女性~</p><p>2:22 “上初中时候,我就觉得自己以后要学计算机”</p><p>5:20 “女孩子初中成绩好是因为勤奋,男孩高中学习好是因为聪明”,吗?</p><p>11:42数学老师妈妈和文艺爸爸让我理性又感性</p><p>16:28 我的妈妈是以温润、坚韧,又包容的女性</p><p>22:30 线下的见面才能带来关系的实感</p><p>28:45为什么几乎每一周都有满满的精力举办活动?</p><p>29:47交流电之父特斯拉,要想睡的好就睡1.5h的倍数</p><p>34:40当我发现成为架构师有阻力时,我对领导说,也许我能试试管理</p><p>42:56 AI恰恰能替代底层的程序</p><p>47:38当AI已经能生成代码了,我还有必要学吗?</p><p>54:00当我想干什么事,我只考虑我想不想干,而不想女生能不能干</p><p>55:46 给想学代码的人2点建议</p><p>bgm:Try-<a href="https://music.163.com/artist?id=50890">Colbie Caillat</a></p><p>不要怕&啊杰咯-莫西子诗</p>
February 28, 2025
<p>3:29 “如果好好地观看过童年的展开,就能更好地爱一个人,爱全人类。”</p><p>07:40 “被看见有时候可以抚平她们的孤独和伤痛”</p><p>12:35“没有人比女性自身更有责任知晓,更理应被告知生育究竟会为我们带来怎么样的改变“(《无尽与有限》推荐语)</p><p>14:30 “凡快乐必有其苦恼,凡财富必有其代价,凡生命必定要迟早接受彻底的悲伤和死亡”</p><p>15:27人生到底为什么会感到痛苦?</p><p>23:43 “人无法失去自己未曾拥有过的东西,但这不代表你不会对这些东西产生失去感“</p><p>25:28“当你封闭了自己所有接触这个世界的触角和感官,那也就得不到很多意料之外的快乐“</p><p>29:10 “没有任何事物比爱更让人熟悉,没有任何事物比爱更让我们彻底逃避”</p><p>32:06“致朱莉娅,如果数据说我不爱你,那我希望数据有误“</p><p>33:10快乐程度被高估和低估的活动一览</p><p>36:12“越努力越幸运”是真的</p><p>37:50“有整天的大好时光在我们面前,有整个世界等着我们去狩猎”</p><p>40:50“一个人如何看待世界又如何看待自己,把这些赋予意义的方式汇集起来的概念,可以理解为生活方式,狭义上讲就是这个人的性格,广义上讲就包含了这个人的世界观和人生观”</p><p>44:20“一切的烦恼都来自人际关系”</p><p>49:00 一个人的沟通力最重要的是——被说服的意愿</p><p>提到的书:</p><p>《无尽与有限》、《项塔兰》、《爱的对谈:如何寻找爱、维系爱、告别爱》、《别相信直觉》、《夜航西飞》、《被讨厌的勇气》、《一间属于自己的房间》。(《身体由我》是那本讲女性身体的书,仅提到,非最终推荐)</p><p>bgm:</p><p>《春色悠悠不及你荡漾》——陈婧霏</p><p>《没关系》——容祖儿</p>
February 5, 2025
<p>00:01 《机器人之梦》与现代人的孤独</p><p>04:42 电影中的动物形象与情感共鸣</p><p>09:39 从友情与爱情角度看电影中的陪伴与失去</p><p>14:11 那些令人感动的瞬间</p><p>19:37 电影中的孤独、爱与命运</p><p>26:04 机器人为什么选择躲避</p><p>30:38 成长中的友情变迁与误会</p><p>34:09 动画电影与真人电影在情感表达上的不同</p><p>嘉宾:琦墨墨</p><p>小红书读书博主,播客《猝不及防》主理人</p><p>片头片尾bgm:September-Earth, Wind & Fire</p>
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at [email protected] for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.