市场看似公平，却暗藏排序；价格看似自由，却常有管制；价值看似客观，却因人而异。我们如何在其 中活明白？ 当我们谈论年轻人困境时，谈论的往往不是孤立的个案。从被反复讨论的"脱不掉的长衫"，到悄然流行 的"全职儿女"现象，背后折射出一代人对市场预期的普遍调适，甚至是被迫妥协。系统似乎越来越精 密，算法能算出骑手的最优路线，能推送最成瘾的内容，能评估每一份简历与岗位的"匹配度"，却难以 计算一个年轻人被消耗的希望与热情。 曾经，"知识改变命运"是笃定的信条；如今，教育回报率却在真实地下降。当高学历成为标配，甚至成 为某种"基础消费"，它所带来的竞争优势却在边际递减。我们被卷入一个更高效、更互联、却也更具不 确定性的市场体系中。在这里，个人的努力与系统的规则持续博弈，而疲惫感与困惑感，往往来自于看 不清博弈的棋盘到底在哪里。 这引向一个更本质的提问：我们感受到的压力、不公与价值落差，是个人能力的局限，还是游戏规则本 身的产物？ 当一名本科毕业生骑上电动车，穿行在城市的大街小巷时，他的手机屏幕上不断跳动着算法的指令，下 一单去哪里、走哪条路线最快、超时会被扣除多少收入。他或许曾经想象过自己坐在明亮的写字楼里， 从事着专 ...

卫兴华长期深耕马克思主义经济学，熟读马克思主义经济学理论著作，自觉坚持马克思主义经济学的基 本原理，有坚定的信念和立场，能够准确把握和运用马克思主义经济学。他是公认的《资本论》研究权 威，学术研究成果丰赡。这些成果对推动我国《资本论》研究起到了积极的促进作用。他的《资本论》 研究涉及的难题和争议问题很多，这里列举其几项重大理论贡献。 关于《资本论》的研究对象。争论的焦点是如何理解马克思在《资本论》序言中的这段话："我要在本 书研究的，是资本主义生产方式以及和它相适应的生产关系和交换关系。"难点是马克思在这里所讲的 资本主义生产方式是指什么？是生产力层面的生产方式，还是生产关系层面的生产方式？卫兴华通过详 细考证认为，这里所讲的资本主义生产方式是指在广义资本主义生产关系体系中起决定性作用的基础性 生产关系，即与资本主义生产资料所有制相结合的劳动者同生产资料相结合的特殊生产方式，即资本与 雇佣劳动相结合的资本主义生产方式。他认为这是马克思已经讲清楚了的问题，论证有理有据。卫兴华 还将此原理运用于研究我国国企改革，认为国有经济的社会主义性质应体现在劳动者是以企业主人的地 位与属于全民的生产资料相结合。这就明确了国有 ...

Group 1 - The core argument emphasizes the importance of creating advancements that cannot be purchased with money, such as extending human lifespan and developing transformative technologies [2][3] - The article suggests that the focus should shift from subjective economic indicators like stock prices and GDP to objective measures like life expectancy, which reflects true progress [2][3] - It advocates for the use of technology to enhance human capabilities and control, urging society to embrace new tools and innovations rather than clinging to outdated practices [4][6] Group 2 - The text argues that technology should be viewed as a means to reduce scarcity, with the ultimate goal being the elimination of death, which is the root of scarcity [5][6] - It posits that technological advancements should be prioritized over traditional labor value theories, as technology is the true source of value creation [7][9] - The article highlights the accelerating impact of software and automation on various industries, predicting a future where most value creation will be driven by software innovations [9][10]

Core Viewpoint - The traditional economic cycle is facing unprecedented challenges due to the rise of artificial intelligence (AI), which is rapidly expanding its application and complexity, leading to a shift from a "producer society" to a "consumer society" [1][2][3] Group 1: Economic Paradigm Shift - The classic economic model of "labor creates value → value exchanges for currency → currency drives consumption → consumption stimulates production" is breaking down as AI takes over programmed production [2][3] - The transition from "labor value theory" to "existential value theory" signifies a fundamental change in how human value is perceived, with individuals increasingly seen as consumers rather than producers [2][3] Group 2: Value Redefinition - In the AI era, value should encompass more dimensions beyond labor, including human creativity, emotional experiences, social interactions, and ethical oversight of AI systems [4] - There is a need to explore new distribution mechanisms to ensure that those displaced by AI can secure basic living standards and development opportunities, promoting social equity and sustainable development [4] Group 3: Economic Sustainability Challenges - The challenge arises when AI replaces human labor, leading to questions about how individuals can derive value and income, and how consumption can be sustained in an AI-driven economy [3] - The intersection of technological singularity and economic cycle logic raises critical questions about the sustainability and effectiveness of the economic system [3]