Workflow
3 6 Ke
icon
Search documents
估值8740亿,自动驾驶最贵独角兽诞生
3 6 Ke· 2026-02-04 08:51
这轮融资较Waymo上一轮飙涨了近3倍,不仅是全球自动驾驶领域史上规模最大的一笔投资,更让Waymo的投后估值飙升至1260亿美元(约合人民币8741 亿元),较上一轮450亿美元估值暴涨180%。 自动驾驶史上最大一笔私募融资,被Waymo拿下。 160亿美元,约合人民币1110亿的融资,谷歌母公司Alphabet旗下自动驾驶公司Waymo在其官网上宣布已完成交易。 即便近期Waymo接连出现"翻车"事件,比如非法超越校车,因停电当街"躺平",紧接着还撞伤儿童等等,仍没有妨碍投资者的热情。 如今的Waymo,已成为目前自动驾驶行业最贵的独角兽企业。 01 越翻车越吸金 2009-2019年十年间,Waymo完全依赖Alphabet的输血,自2020年首次引入外部资本以来,公开披露的融资金额仅仅只有三轮,但累积融资金额已经超过 了104亿,估值也从当初的约300亿美元水涨船高到450亿美元。 最新拿下的这笔资金,不仅一举超过了此前融资之和,还让Waymo最新估值升至1260亿美元,约合人民币8741亿元。 而且每轮融资的投资阵容非常豪华,这轮融资仍然是由母公司Alphabet牵头,还吸引了红杉资本(Sequo ...
编程已死,键盘长草,Claude Code之父对谈Kaparthy,全程爆金句
3 6 Ke· 2026-02-04 08:46
这场对话的双方,一位是特斯拉前AI总监、OpenAI创始成员 Andrej Karpathy,他是「Software 2.0」概念的提出者,一直站在编程范式转移的最前沿; 另一位是 Claude Code 的缔造者、Anthropic 的核心人物 Boris Cherny,他正在亲手打造终结传统编程的工具。 他们的讨论不仅仅是关于工具的迭代,更像是一场关于人类技能边界的哲学思辨。 当代码不再由人类一个个字符敲击而出,我们究竟是在进化,还是在退化? 这场对话揭示了一个残酷而兴奋的事实: 我们正处于从「命令式编程」向「声明式意图」彻底转型的奇点。 Andrej Karpathy与Claude Code负责人Boris Cherny展开了一场关于编程未来的终极对谈。面对AI接管100%代码编写的现状,Karpathy坦言人类正处于 「脑萎缩」与能力进化的十字路口。 本文深度解析了从Software 2.0到Agentic Coding的范式转移,揭示了在Opus 4.5等强力模型加持下,程序员如何从「搬砖工」进化为「指挥官」,以及不 仅要面对效率的飞跃,更要警惕「垃圾代码末日」的隐忧。 2026年的开篇,科技圈被一 ...
英特尔联手英伟达:定制Xeon集成NVLink,真要和老黄“搭伙过日子”了?
3 6 Ke· 2026-02-04 08:40
我真是做梦都没想到,这辈子还能看到英特尔主动跑去当小弟的事情。 就在前几天的财报会议上,谈到公司持续简化服务器产品路线图的举措时,英特尔新掌门陈立武透露:"我们在与英伟达紧密合作,打造一款完全集成其 NVLink技术的定制版至强处理器,为AI主机节点带来一流的x86性能。" 消息一出,让整个科技圈都炸锅了:英特尔要和英伟达联手,开发一款专门为AI设计的定制版至强Xeon处理器? (图源:wccftech) 掐指一算,这也是英伟达去年投资50亿美元,收购英特尔的部分股份后,双方在硬件上的第一次实质性合作。 这事儿要是放在五年前,甚至三年前,绝对是天方夜谭。 但现在,陈立武这波操作,可以说英特尔已经不准备跟英伟达硬刚谁才是AI老大了,而是退了一步说:老黄,既然大家都要买你的显卡,那不如我专门做 个CPU来配合你,咱们搭伙过日子吧。 要知道,当年那颗E3-1230 v2可是被捧上神坛的垃圾佬神U,花着不到i3的钱就能享受i7的性能。再往后,那些从国外服务器机房淘汰下来的E5处理器漂洋 过海,配合着华强北魔改的X79、X99主板,让多少预算吃紧的学生党和图吧老哥望眼欲穿。 而这次陈立武狠心找英伟达借力,肯定是希望能够 ...
高速,如何改变中国?
3 6 Ke· 2026-02-04 08:34
十几年前,在中国第一条真正意义的高铁——时速350公里的京津城际铁路开通运营之后,中国的高铁建设"一发而不可收拾",至今通车里程已达2.5万公 里,位居世界第一。 高铁改变中国,成为今人耳熟能详的一句习语。 假若我们将眼界放宽,从更久远的时间深处打量,相比于高铁,12.7万公里的铁路,13.65万公里的高速公路,477万公里的公路,也许是构成中国肌体的 更为基础的骨骼。 01 30多年前,第一条高速再上海通车 也许是因为太习以为常了,所以许多人会产生一种错觉,以为中国的高速公路即使没有上百年,也有半个世纪的历史。 但实际上,中国第一条高速公路通车,距今不过30多年。 这一条高速名为沪嘉高速,全长只有20.5公里(另有说法是18.5公里),连接的是上海中心城区和嘉定卫星城。 当时,嘉定聚集了大批科研院所,来往上海市区主要依靠路面不到10米宽的公路,交通状况非常糟糕。虽然两地相距只有20多公里,但坐车却需要2个多 小时。 面对糟糕的交通状况,两个解决方案摆上了桌面。 在此,略为回溯高速公路的一些往事,从高速的变化上管窥一个裂变式发展的中国。 第一种方法是拓宽两地之间的原有道路,将其改建成4快2慢的一级公路。 第二 ...
一位外卖员之死
3 6 Ke· 2026-02-04 08:34
面对猝然发生的悲剧,家属想为亲人讨一个说法,却迎面撞上一片沉默的壁垒。李国才购买了一款3元意外险,保单时间为当天接第一单开始至最后一单 结束,深夜猝死不符合工伤认定的"工作时间"条款,与李国才签订服务协议的河南赋岚网络科技有限公司、提供技术服务的上海蜂鸟必达科技有限公司, 以及他接单的原饿了么平台(现淘宝闪购平台),均无一人出面与家属见面。 几天后,上海川汇律师事务所律师延彬彬接手这一案件,随着对李国才手机信息的梳理,才拼凑出一段不为人知的过往:出事前两个月,他送餐途中曾发 生一次车祸,李国文无责,但车祸致其头部受伤、下巴缝针,他半句都没跟家里提,甚至未正式报备平台及外包公司,只是独自去医院处理了伤口,拿到 赔偿款后休息了数日便继续接单,并保持每天12小时左右、50-70单的工作强度。 然而,这场未愈的伤痛,却在李国文的身体里埋下隐患。最终,法医给出"车祸与猝死存在10%—30%关联度"的鉴定意见,法官判决车祸相关方参考工伤 25%的比例进行了赔付。 "再跑几年外卖,攒够钱给母亲治病,家里盖间砖房,我就回家踏实务农,陪着你们。"2024年2月,云南哈尼族汉子李国才回到老家,与弟弟李文才唠起 家常时,眼里满是憧 ...
20年IT老兵转行“收废品”,200+场面试无果,他直言:“程序员工作基本已经没了”
3 6 Ke· 2026-02-04 08:34
Core Insights - The job market for programmers in Silicon Valley has drastically changed, with many positions disappearing despite high competition for interviews [4][5][6] - A programmer named Roman, despite having a strong resume and extensive experience, has struggled to find stable employment, highlighting the broader collapse of the job market in the tech industry [6][8][16] Group 1: Job Market Conditions - Roman attended 200-300 interviews over six months but faced constant rejections, indicating a significant decline in available positions [4][5] - The recruitment process has shifted from hiring to merely creating candidate pools, with many interviews serving as a formality rather than a pathway to employment [5][6] - The tech industry has seen massive layoffs, with companies announcing job cuts in the tens of thousands, further exacerbating the employment crisis [5][6] Group 2: Personal Experience and Transition - Roman's experience reflects a broader trend where even highly qualified individuals struggle to find jobs, leading to a sense of despair among tech workers [6][7][8] - In response to the dire job market, Roman transitioned from software development to the waste recycling industry, viewing it as a more viable option for survival [9][12] - His new business focuses on waste collection and recycling, which he believes has stable demand and clear cash flow, contrasting sharply with the unpredictable tech job market [13][16] Group 3: Entrepreneurial Journey - Roman's entrepreneurial journey began with the purchase of a used truck, which he financed through personal savings, illustrating the challenges of starting a new venture [10][12] - He actively seeks community engagement for marketing and customer acquisition, indicating a grassroots approach to building his new business [13][14] - Despite his new focus, Roman continues to pursue software projects, reflecting a dual approach to income generation while acknowledging the risks involved in both fields [15][16]
腾讯入局AI社交,AI竞赛已无旁观者
3 6 Ke· 2026-02-04 08:34
Group 1 - Major tech companies are intensifying their competition in the AI sector, with Tencent, Baidu, Alibaba, and ByteDance launching various promotional activities and investments ahead of the Spring Festival [1] - Tencent plans to distribute 1 billion yuan in cash through its Yuanbao app, while Baidu is offering 500 million yuan in cash rewards via its Wenxin assistant [1] - ByteDance has secured sponsorship for the 2026 CCTV Spring Festival Gala, integrating AI into the event's interactive segments [1] Group 2 - The competition among tech giants can be categorized into three main areas: AI empowerment, independent AI applications, and AI hardware [2] - AI empowerment involves integrating AI capabilities into traditional business models, with companies like Alibaba and Tencent enhancing their existing services with AI features [3][4][5] - Despite the integration of AI, the competitive landscape among major players remains largely unchanged, with established leaders in various sectors still holding their positions [10] Group 3 - The independent AI application battle has emerged as companies seek to disrupt existing market dynamics, with Alibaba's Qianwen app gaining significant traction [11] - Current usage statistics indicate that even the most popular AI applications have limited daily engagement, suggesting that the competition for user attention is still ongoing [13][14] - The future of user engagement in AI applications remains uncertain, with many variables at play [15] Group 4 - The competition has shifted from software to hardware, with ByteDance's Doubao phone selling out rapidly, indicating a strong market interest [16] - AI glasses have also gained popularity, with significant sales growth reported in the global smart glasses market [20][21] - The potential for AI hardware to revolutionize user interaction is being recognized, with AI glasses positioned as a new frontier in human-computer interaction [22] Group 5 - Each major player has a distinct approach to AI, with Alibaba focusing on practical tools, Tencent emphasizing social value, and ByteDance targeting emotional engagement [25][26][27] - Alibaba's Qianwen app aims to streamline user tasks across various services, while Tencent's Yuanbao app seeks to innovate social interactions [31][32] - ByteDance's AI products prioritize emotional connection and user engagement, differentiating their offerings from those of competitors [39][41] Group 6 - The competition for the "super entrance" in the AI era is fierce, with each company leveraging its strengths to capture market share [42] - The uncertainty surrounding the future of AI technology and its applications leads to a common goal among companies: to remain relevant in the evolving landscape [43]
城区NOA新格局:头部三强争霸,深圳VLA黑马拿下四成市场
3 6 Ke· 2026-02-04 08:27
Core Insights - The Chinese smart driving industry is undergoing significant transformation driven by AI, with a focus on urban NOA (Navigation on Autopilot) as a key competitive feature, achieving a penetration rate of 10% by the end of 2025 [1][3] - Major players in the market include Huawei HI, Yuanrong Qixing, and Momenta, collectively capturing over 90% of the third-party market for urban NOA solutions [1][3][6] - The industry is witnessing a shift towards three main technical routes: VLA (Vision-Language-Action Model), world models, and end-to-end reinforcement learning, with ongoing debates about the necessity of incorporating language dimensions [2][9][10] Market Trends - Urban NOA has become the focal point for functionality, with a rapid increase in adoption, reaching a penetration rate of 7.01% in the first three quarters of 2025, and expected to exceed 10% by year-end [3][11] - The competitive landscape is evolving, with a clear head effect emerging among leading players, as Huawei HI, Yuanrong Qixing, and Momenta dominate the urban NOA market [3][6] Player Analysis - Huawei HI offers a full-stack solution primarily for mid-to-high-end vehicles, with an impressive selection rate of 80% [5] - Yuanrong Qixing focuses on partnerships with leading manufacturers to define popular products, experiencing a rapid increase in delivery volumes [5][6] - Momenta has the broadest market coverage, with its partnerships spanning various price segments, and has shown significant growth in market share [6] Technical Developments - The industry consensus has shifted towards end-to-end solutions, with three distinct technical routes emerging: VLA, world models, and end-to-end reinforcement learning [9][21] - VLA, which emphasizes the integration of language for enhanced cognitive capabilities, is gaining traction as a leading approach in the smart driving sector [10][21] Future Outlook - The penetration of urban NOA is expected to double in 2026, with predictions of 5 million vehicles equipped with advanced driving capabilities, highlighting the critical nature of this feature for automotive manufacturers [12] - Companies face a choice between developing their own solutions or opting for external suppliers, with the latter becoming increasingly necessary due to the high costs and time associated with in-house development [12][15] - The trend towards external partnerships is reinforced by the need for robust data and proven solutions, as well as the growing importance of international market expansion [15][18]
基民猛亏自己稳赚?基金经理只挨骂不惩罚的日子到头了...
3 6 Ke· 2026-02-04 08:27
基金行业正在经历一轮大洗牌。本来嘛,基民的钱亏了,基金经理却还拿着高薪和奖金,管理费一分不少,这事被吐槽很久了。 就在上个月,新规出 来,一切都要改变。 资本市场,现在是冰火两重天。 买科技股的公募,最高年盈利233%,另一方面,持有老登股的基金经理们,逐渐被基民抛弃。 四季度,医药女神们纷纷扑街。还有基金持仓紧握老登股的基金经理,被爆出来自己偷偷买了很多科技股赚了大钱,成了众矢之的。 业绩轮流翻车,去年的基金经理离职人数创下新高,已经达到453人。而基金经理总人数却在持续扩大,很多年轻的基金经理,83%连上一轮牛市都没经 历过。 整个基金行业,正在经历一轮大洗牌。 医药女神翻车,有人差别操作自己赚翻,基民气炸了 除了医药女神,其他明星基金经理也有翻车的。 知名基金经理刘彦春的四季报,普遍亏损在5.8%-7.5%之间,最近五年基本上是腰斩。 尤其是基金的四季报一披露,不少医药女神都扑街了。张韡、赵蓓等管理的医药基都在四季度陷入了亏损,把上半年的利润吐回去不少。 新晋的医药一姐张韡,去年曾凭借管理的香港优势精选,以85.64%的收益斩获公募业绩上半年冠军,结果下半年就把上半年挣的钱亏了一半回去。 去年的医药板块 ...
苹果 Xcode 终于引入 AI,“Agentic Coding”攻入“果系”开发者大本营
3 6 Ke· 2026-02-04 08:27
Core Insights - Apple has officially released Xcode 26.3, integrating AI capabilities through Claude Agent from Anthropic and Codex from OpenAI, marking a significant shift in its development environment [1][2][4] - The introduction of "Agentic Coding" allows developers to use natural language commands for various tasks, enhancing productivity and efficiency [4][5] - Despite the powerful features, user feedback is mixed, with some praising the integration while others report issues such as system hangs and poor code comparison [9][10] Group 1: AI Integration in Xcode - Xcode 26.3 introduces predictive code completion and allows AI agents to perform complex tasks autonomously, such as creating files and debugging [4][5] - The integration aims to enhance the development experience by providing seamless access to advanced AI models [7] - Apple's collaboration with OpenAI and Anthropic reflects a strategic move to catch up with competitors like Microsoft, which has already integrated AI into its development tools [10][11] Group 2: Market Position and Developer Ecosystem - The rise of AI-centric coding tools like Cursor and Windsurf has prompted Apple to adapt its IDE to avoid losing developer interest [10][11] - The trend indicates a shift from plugin-based AI capabilities to native integration within productivity software, suggesting a closing window for independent AI tools [11] - The evolving landscape may challenge developers to adapt their skills while also providing opportunities for innovation and efficiency in coding practices [11][12]