哥们，你是一毕业就 140 万么？当初和女朋友谈的时候，又是多少？ 你这妥妥的"上岸第一剑就斩意中人"， 太典了 。 建议立刻马上换，最好找个年薪 1400 万的，这样你就可以天天仰着脖子看她，好好体验一把被收入按在地上 碾压的滋味。到时候人家说东你不敢往西，人家买奢侈品你只能默默算账单，人家谈资源人脉你插不上半句 话， 你再品品这种 "门当户对"的滋味爽不爽 ？ 前些天在推上刷到一个帖子：" 我一年 140 万，女朋友一年 15 万，差了快 10 倍了，要不要换一个？感觉差距 会越来越大，还没结婚，现在越看越不顺眼了，谈了才两年。" 当初你拿几十万工资的时候，怎么没觉得人家 15 万的年薪拿不出手？怎么没嫌弃人家配不上你？ 现在赚得多了，尾巴翘到天上去了，就把感情当成了可以量化的交易。 真要换就痛快点，别拿"差距大"当遮 羞布 ，说白了就是你飘了。 赶紧的，别耽误人家姑娘找个真心疼她的人！ 哦对了，等你哪天行情不好，年薪跌回 40 万甚至更低的时候，记得主动提分手，赶紧催着人家把你踹了，别 磨磨蹭蹭耽误人家找更高配的。毕竟按照你这个 "收入匹配论" ，到时候你就是那个拖后腿的，可别指望人家 念旧情。 ...

Core Viewpoint - Huawei's HarmonyOS desktop operating system and Huawei Cloud's Euler server operating system have passed the security reliability assessment, allowing entry into critical industries such as government and finance [1][3]. Group 1: Assessment Results - The assessment was conducted based on the national "Security Reliability Assessment Work Guide V3.0," with results valid for three years [3]. - HarmonyOS desktop system is the only one to receive a Level II security rating, indicating a higher level of independent development and security [3]. - Euler server system received a Level I certification, suitable for enterprise-level core scenarios [3]. Group 2: Industry Context - Huawei's Kirin chip has previously obtained a Level II certification, and the passing of both systems signifies Huawei's achievement of a "chip + operating system" full-stack domestic closed loop, strengthening the data security defense from the ground up [3]. - Other systems that passed the assessment include Tongxin desktop operating system, Alibaba Cloud server operating system, and ZTE's New Pivot server operating system [3][4].

Core Viewpoint - The claims made by Cursor regarding the development of a browser using GPT-5.2 have been debunked, revealing that the code produced is non-functional and lacks engineering logic, described as "AI Slop" [4][7][35]. Group 1: Project Claims and Findings - Cursor announced that their AI coding agents, powered by GPT-5.2, generated a browser with 3 million lines of code over 168 hours [3][4]. - The project was marketed as a breakthrough, suggesting that AI could autonomously create complex software [4][5]. - However, developers found that the code could not even compile, indicating that the project was misrepresented [5][9][30]. Group 2: Technical Analysis - A technical blog dissected Cursor's claims, revealing that the code lacked coherent engineering intent and was essentially unusable [7][36]. - The analysis showed that the GitHub repository had multiple failed builds and numerous compiler errors, indicating that the project had never been in a runnable state [30][32]. - The lack of a successful commit or demonstrable functionality further undermined Cursor's assertions of progress [52][53]. Group 3: Community Reaction - The developer community reacted strongly against Cursor's misleading claims, expressing frustration over the portrayal of incomplete work as a significant achievement [41][44]. - Discussions on platforms like Hacker News highlighted the deceptive nature of the project's marketing, with many pointing out the reliance on existing libraries rather than true innovation [45][46]. - The incident has sparked a broader conversation about the integrity of AI-generated code and the importance of verifiable results in software development [41][68]. Group 4: Lessons and Future Implications - The failure of the Cursor project illustrates the necessity for clear role definitions and structured collaboration among AI agents to avoid chaos in software development [58][59]. - The emergence of the term "Cracked Engineer" reflects a shift towards valuing skilled developers who can effectively leverage AI while maintaining rigorous engineering standards [64][68]. - The incident serves as a cautionary tale about the potential pitfalls of over-relying on AI without proper oversight and validation [67][69].

往期趣图 （点击下方图片可跳转阅读） 前几天的一个热帖，微博 CEO 也参与了。 有木有内部人士来证实截图的真实性呢？ ...

1 个月前，西贝创始人 贾国龙在接受南周采访时还说他认识到错误了，说当时太冲动了，也不应该说"网络黑社会" …… 但这几天贾老板的表现截然相反，像是被带偏了节奏，刚认错没多久就翻脸，在朋友圈控诉"西贝被铺天盖地污蔑"。 他这几天的表现，不再赘述。可参考这几篇推文： 有句俗话说的很对，事出反常必有妖！ 1 月 15 日，@独立平 在微博发帖称西贝准备关闭 102 家门店，并配图西贝内部文件截图。当天下午，贾老板发朋友圈，证实网传的截图属实。配图正是@独立平 的帖子。 在同一天 17 点，@独立平 发帖自证，一个月前受邀去西贝呼和浩特基地参观。 网传和理记一起同行的其他大V，还有 李*旸、 项某刚等人。（ 对，就是前段时间被老罗骂"智障"的那个 。 ） 独立平是谁？ 多位业内人士和博主都已指出，@独立平 其实就是@理记。在理记大号被封后，用转世小号在微博活跃。 理记此人口碑极差、劣迹斑斑、 争议满身 。他曾针对江歌母亲江秋莲编造大量不实信息，无端指责江秋莲虚构事实、诈捐数千万元等，导致江秋莲长时间遭受网 络暴力。 在车圈，他曾吹捧理想 Mega 想蹭热度，被李想公开抵制，要求员工严禁与其接触，违者原地开除。在数码 ...

MaxAIBox . MaxAIBox.com 汇集优秀 AI 工具，探索 AI 无限可能 以下文章来源于MaxAIBox ，作者Max 2026 年 1 月 17 日凌晨，OpenAI 官宣重大变动：未来几周内，将在美国成年用户的 ChatGPT 免费版和每月 8 美元的 ChatGPT Go 套餐中，测试广告功能。这意味着 AI 工具也将加入 "广告行列"，引发广泛关注。 同步推广的 ChatGPT Go 套餐，已覆盖全球所有 ChatGPT 可用地区，相比免费版，消息额度、图像创建等功 能提升 10 倍，还支持文件上传。OpenAI 直言，推出广告是为补贴万亿美元级的算力成本，既能降低免费 / 低 价用户的使用限制，也能拓展收入来源。 "广告不影响回答客观性，用户信任永远比收入重要" ，OpenAI 强调这一核心原则，此前其 CEO 曾称广告 是"最后的手段"，如今为平衡普惠与商业化，最终走上广告变现之路。 (参考：X、腾讯新闻， 本文经由 AI 大模型优化） 好消息是，此次广告有明确规则：仅在对话底部展示，标注 "赞助" 标识并与回答严格区分，内容和当前话题 相关。 同时设置多重 "红线"：18 岁以 ...

Core Viewpoint - The article discusses the growing trend of programmers engaging in stock trading, highlighting the risks and emotional impacts associated with this behavior, particularly the shift in mindset towards gambling rather than investing [2]. Group 1: Investment Behavior - A recent post on a technical forum reflects a programmer's sentiment about making significant profits from stock trading, leading to a loss of motivation for coding [2]. - Many experienced traders share their painful lessons, with some reporting losses of up to 80% of their earnings due to mistakes, and others losing two years' worth of salary in a single day [2]. - The discussion in the community suggests a warning from seasoned traders about the potential dangers of this speculative behavior, indicating a shift in focus from professional work to trading [2]. Group 2: Financial Risks - The article emphasizes that while programmers' salaries are not limitless, they serve as a crucial safety net in the stock market, and losing focus on their primary job due to trading can lead to financial risks [2]. - It is noted that profits gained without a replicable trading system are merely temporary, and the market can take back these earnings at any time [2].

Group 1 - The founder of Xibei, Jia Guolong, has been very active recently, frequently trending on social media [1] - Jia announced he would respond to "Luo Yonghao's major slander against Xibei" at 10 PM on January 16 [1] - Luo expressed that he would try to hold back but Jia encouraged him not to, indicating a tense atmosphere [4] Group 2 - Both Jia and Luo's Weibo accounts were silenced around 9:50 PM, surprising the public who expected a significant revelation [4] - Despite the silencing, Jia was not satisfied and posted a response through the account @XibeiRenXinSheng, which was also handled shortly after [5] - The initial response had garnered 12,000 comments before being taken down, with many media outlets and netizens having saved screenshots [6] Group 3 - The reason for the silencing was clarified by Sina Weibo's CEO, Wang Gaofei, who stated that engaging in online disputes is not advisable and that the authorities would intervene [7] - A "negative behavior list for online celebrity accounts" was officially released by the Cyberspace Administration on December 26, 2025 [8] - Although both Jia and Luo were silenced, discussions about them continued on platforms like Weibo [8]

Core Insights - The article discusses how a father, KiddFlash42, utilized AI to create an educational game with his 5-year-old son, transforming the learning process into a fun experience [1][4][17] Group 1: Project Initiation - The project began as a solution to the father's concern about his son's reluctance to engage in learning activities like reading and math [4] - After discovering that AI could write code, the father asked AI if it could create video games, leading to the generation of a game structure and example code [5][6] Group 2: Development Process - The development process was characterized by minimal documentation, relying heavily on the child's imagination for game features [8] - The father primarily handled copying, pasting, and troubleshooting with AI, while the son acted as the "product manager," directing the game's design [7][10] Group 3: AI Interaction - Initially, the AI (Gemini) performed well, providing a friendly interaction that made the project feel like a game rather than work [9] - As the codebase grew to around 1200 lines, the AI began to struggle, leading to frequent errors and crashes, prompting a switch to GitHub Copilot for improved productivity [10][13] Group 4: AI Model Performance - The father ranked various AI models based on their performance, with Claude Opus 4.5 being the most effective, followed by Gemini and GPT-5.1 [14][15][16] - Claude Opus 4.5 was noted for its ability to understand the child's creative ideas without destabilizing the project, while Gemini was friendly but technically unstable [15][16] Group 5: Final Outcome - The educational game successfully integrated reading, spelling, and math into engaging gameplay, reversing the father's role from enforcer to facilitator in his son's learning [17][18]

Core Insights - The article highlights the significant financial success of Huanfang Quantitative, which is projected to earn 5 billion RMB in 2025, allowing for the training of 2,380 DeepSeek R1 models [1] - Huanfang Quantitative, led by Liang Wenfeng, ranks second among large quantitative funds in China with an average return rate of 56.6% and manages over 70 billion RMB [1] - The revenue generated from Huanfang's management fees and performance fees has provided DeepSeek with substantial funding for its AI research, enabling it to operate independently without external financing [2] Financial Performance - Huanfang Quantitative's earnings of approximately 5 billion RMB last year surpassed the pre-IPO fundraising of AI unicorn MiniMax [1] - The average management fee of 1% and performance fee of 20% contributed significantly to Huanfang's revenue [1] AI Development - DeepSeek's training costs are relatively low, with the R1 model costing only 294,000 USD and the V3 model costing 5.576 million USD, allowing for extensive model training with the funds available [2] - The financial model creates a symbiotic relationship where profits from quantitative trading support AI research, while AI technology enhances quantitative strategies [2]