跨年流量池卷成修罗场，没想到最后赢麻的，是两位靠"道歉"上热搜的互联网老炮儿。 一边是迟到翻车秒变退票捐款封神，一边是直播延期反倒拉满期待，两场道歉大戏反转来得猝不及防， 全网观众直接看傻。 大佬玩流量，果然是降维打击。 编辑 迟到40分钟 靠退款捐款"封神" 谁料原定晚7点开场，竟让近5000观众干等40分钟。 台下有人喊"退票"，线上直播间涌进200多万人吐槽，"老罗重新定义晚7点"迅速刷屏。 眼看翻车在即，罗永浩上台先鞠躬道歉，紧接着两招稳住全场： 第一，坦诚自己患ADHD多年，近期药量已到极限仍体力不支，解释迟到与小失误； 谁能想到，罗永浩时隔七年回归的"科技春晚"，开局先演了出"迟到惊魂记"。 这场主打"让好产品赢" 的科技创新分享大会，从官宣起就拉满情怀滤镜。 图源：@罗永浩的十字路口 毕竟是老罗2018 年锤子手机失利后，首次重返科技发布会核心舞台，一句"七年了，我还在" 直接勾起无数老粉回忆杀。 门票开售当天，300到1000元六档价位明明白白标注"不可退"，结果低价票几秒抢空，全档位 两小时售罄，妥妥的情怀杀胜利。 编辑 编辑 图源：罗永浩微博解释迟到原因 第一，当场宣布所有门票全额退款，1 ...

以下文章来源于凤凰网科技 ，作者凤凰网科技 凤凰网科技 . 凤凰科技频道官方账号，带你直击真相。 来源丨 凤凰网科技 （ID： ifeng_tech ） 作者丨 董雨晴 编辑丨 赵子坤 图源丨罗永浩科技春晚直播截图 "我们就当什么没有发生，再来一遍好吗？"迟到快1个时后，黑衬衫黑裤子的罗永浩带着略有歉意的 声音，终于现身。 好不容易上场后，现场出现了多次bug，包括不限于PPT排版出错、视频播放出问题、PPT批注没删 除等…… 老罗在现场说，有一种"破罐子破摔的爽感"。然而发布会进行到10点08分时，活动的高潮来了，现 场体验的无人机新品找到的彩蛋显示，这次科技春晚的门票将全部退款，而原本承诺的捐款也一并达 成，据官方披露，本次门票售卖合计达到了166.8万元。 2025年，在考虑到梁文锋的建议后，听劝的罗永浩终于决定正视"靠嘴吃饭"这件事，开办了播客节 目"罗永浩的十字路口"，也打开了顺风局。 而在播客节目上接触越来越多科技创业者后，罗永浩仍在期盼在那个堪比下一个iPhone时刻的到来， 只是这一次，罗永浩不一定要亲自下场，也可能是一个孵化者。 我们在这场发布会上，看到了更多的"罗永浩"。 时隔7年，那个男 ...

Core Insights - The article discusses the ongoing series of closed-door social events called "Jinqiu Xiaofanzhuo," organized by Jinqiu Capital, focusing on AI entrepreneurs and technology discussions [3][4][11] - Recent discussions have centered around multi-modal technology, AI computing architecture, embodied intelligence, and AI hardware innovation, highlighting the practical challenges and opportunities in these areas [1][12][18] Group 1: Event Overview - "Jinqiu Xiaofanzhuo" is a weekly event held in cities like Beijing, Shenzhen, Shanghai, and Hangzhou, aimed at fostering genuine conversations among top entrepreneurs and tech experts without the usual corporate presentations [3][4] - The series has successfully hosted 25 events since its inception in late February, with summaries available for earlier sessions [3][11] Group 2: Recent Discussions - The latest discussions included topics such as the future of embodied intelligence, focusing on five key perspectives: ontology, cognition, interaction, data, and computing power [14][12] - The challenges of data and model architecture decisions were emphasized, particularly the need for high-quality data and the exploration of generative world models [16][35] Group 3: AI Hardware Insights - The event on AI hardware featured discussions on differentiation strategies, with a focus on product details and user experience [23][24] - Key technical variables for AI hardware entrepreneurs include edge computing power and memory solutions, which are crucial for enhancing user experience and privacy [24][25][26] Group 4: AI Computing Architecture - The demand for AI computing power is expected to grow significantly, driven by the need for concurrent AI agents in daily life, leading to potentially unlimited power consumption [35][36] - The article highlights the current shortage of high-end AI computing resources and the competitive landscape among leading companies [36][37] Group 5: Future Directions - The future of AI models is anticipated to move beyond reliance on human data, with a focus on self-exploration and overcoming human knowledge limitations [38][39] - The next generation of AI computing architecture is expected to integrate advanced technologies like liquid cooling and memory processing units, addressing challenges in reliability and efficiency [41][43]