APP崩溃、卡顿常常不是单纯的bug，而是技术债惹的祸。所谓技术债，就是赶进度时写下的将就代 码，短期能跑，长期却变成维护地狱。今天我们就来聊聊这技术债到底是怎么堆出来的？为什么它会成 为现代软件系统的一颗定时炸弹？ ...

Core Insights - The article discusses the challenges faced by new Chief Information Officers (CIOs) when taking over from their predecessors, particularly regarding the "burdens" or unresolved issues they inherit [1][2] - It emphasizes the importance of balancing responsibilities and making strategic decisions on whether to accept or avoid these burdens [1][3] Group 1: Understanding the "Burden" - The term "burden" refers to issues arising from previous management failures or departmental misalignments, often characterized by unclear responsibilities, resource shortages, or conflicting goals [2] - A significant challenge for new CIOs is "technical debt," with 73% of CIOs identifying it as their biggest hurdle upon entering a new role [2] - Technical debt includes outdated infrastructure, incomplete projects, and poor vendor relationships, which can drain time, energy, and financial resources [2] Group 2: Managing Expectations and Demands - New CIOs often face overwhelming demands from business departments that exceed the IT department's capabilities, leading to potential pitfalls if not managed properly [3] - Responding to excessive demands without proper evaluation can result in failure to deliver, causing further complications for the CIO [3] Group 3: Strategies for Addressing Burdens - New CIOs should analyze the situation calmly, clarify responsibility boundaries, and identify the root causes of issues before committing to tasks beyond their capacity [4][5] - It is crucial to assess whether the burden aligns with the CIO's core responsibilities, such as digital strategy and system management [4] - Evaluating personal capabilities and available resources is essential; if the burden exceeds these, it may be wise to avoid it [4] Group 4: Collaboration and Communication - When facing unclear responsibility boundaries, CIOs should ensure that roles are well-defined and leverage organizational support to address issues at higher levels [6] - Conducting thorough research and maintaining open communication with stakeholders is vital for informed decision-making and consensus-building [6] Group 5: Techniques for Avoiding Burdens - If opting to avoid a burden, CIOs should employ strategies such as transferring the issue to more suitable departments, delaying action on non-urgent matters, or escalating the issue to higher management for resolution [7] - The article advises against hasty decisions driven by pressure, advocating for a measured approach to protect one's position while effectively managing responsibilities [7]

以下文章来源于锦缎研究院 ，作者牧之 锦缎研究院 . 专注上市公司价值发现与传播 本文来自微信公众号： 锦缎研究院 ，作者：牧之，题图来自：AI生成 也许到未来某个时候，我们才会知道今天的Meta创始人扎克伯格究竟看到了什么，让他愿意此刻在 AI赛道一掷千金。 仅仅在过去的12个月中，Meta在AI赛道的花钱的速度，几乎每天都是媒体热点： 斥资 143 亿美元收购了数据标注公司Scale AI 49% 的股份，并聘请其首席执行官 Alexandr Wang 担 任 Meta 的首席 AI 官； 向10～20名顶级AI人才提供了1亿至3亿美元的薪酬包，总计可能在10亿至 60 亿美元之间 （基于多 年合同，且部分为股权） ，天价合同让拿惯了大合同的体育明星也为之失色。 根据Meta 首席财务官Susan Li的表态，Meta2025年的总支出预计在1140亿至1180亿美元之间，其中 绝大部分都用在了AI基础设施建设上。 说出来你可能不信，Meta甚至不是过去5年美国科技巨头中资本开支最高的： 从真金白银的资本开支层面衡量，四大互联网科技公司在过去4年中的资本开支最少的也是翻倍， 2024年总开支相当于1.7万 ...

Core Viewpoint - The article discusses the evolving role of human programmers in the age of artificial intelligence, emphasizing that "Vibe Coding" essentially leads to legacy code, which is often misunderstood and can accumulate technical debt [1][11][13]. Group 1: Concept of Vibe Coding - "Vibe Coding" is defined as a new programming approach where programmers immerse themselves in the "vibe" and embrace exponential possibilities, often neglecting the actual code [6][10]. - The term was coined by Andrej Karpathy, who illustrated that programmers may not even look for specific lines of code but instead instruct AI to perform tasks [6][10]. - This approach is suitable for one-off projects but is not considered true programming, as it results in code that is difficult to understand and maintain [10][11]. Group 2: Technical Debt and Legacy Code - The article argues that code produced through "Vibe Coding" is essentially legacy code, which is often viewed negatively due to its lack of clarity and maintainability [11][13]. - Programming should focus on building a deep, operable theoretical model in the programmer's mind, rather than merely producing lines of code [11][20]. - Accumulating technical debt through "Vibe Coding" can lead to significant challenges, especially when untrained individuals attempt to manage long-term projects [13][16]. Group 3: The Role of AI and Tools - The article highlights the importance of using AI as a tool rather than delegating thought processes to AI agents, advocating for a balance between human creativity and AI assistance [17][22]. - It emphasizes that effective tools should enhance human capabilities rather than replace human thought, likening programming to a collaborative process between the programmer and the tool [18][20]. - The conclusion stresses that the human brain remains central to programming, and the goal should be to leverage AI to strengthen this core capability [23].