平庸的灭绝
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平庸的灭绝,大模型时代企业考89分依然可能会“死”?
混沌学园· 2026-03-18 12:06
"我毁灭你,与你何干?"——《三体》 当你还在地面上哼哧哼哧地挖护城河,对手直接开着直升机跨越防线,实施降维打击了。 在大模型时代,最绝望的不是你做错了什么,而是你把旧时代的剑法练到了极致,却发现对手掏出了一 把名叫"AI Native"的枪。用一句流行的梗来说,"大人,时代变了。" 张帆老师在课程中犀利地指出,在这个从"软件工程"向"数字生命"跃迁的路口,不要再试图用优化马车的 方式对抗汽车了 。 若AI能力持续演进,你今日固守的护城河是否依然存在? 你的企业是在"消费"智能,还是在"积累"智能? 什么是企业AI落地的第一性原理? 什么是AI时代产品的第一性原理? AI产品经理如何实现自我进化? 元理智能创始人张帆老师在3月14日上线的课程中进行了长达4个小时的高密度输出,把大模型时代的底 层思考讲透了! AI时代的商业推演 要形容最近的AI行业,用"眩晕"这个词最为贴切——企业家既期待 AI 带来的增量价值,又担忧核心竞争 力受冲击,且行业迭代过快,旧技能快速过时。供给侧方面,AI 在算力、模型、应用层面呈现大爆发; 然而需求侧方面,则面临落地困境,多数企业 AI 投入未转化为实际价值,95%的 AI 项 ...
OpenClaw刷屏背后的冷思考:为什么95%的企业做AI都在亏钱?
混沌学园· 2026-03-12 11:55
Core Viewpoint - The article discusses the overwhelming anxiety and confusion in the business world due to the rapid advancements in AI technology, particularly highlighting the OpenClaw AI personal assistant as a symbol of this shift [1][2]. Group 1: AI Investment and Returns - A study by MIT reveals that 95% of corporate investments in AI have not resulted in tangible financial returns [3]. - The article emphasizes the need for a "future-oriented business cognitive navigation system" to cut through the noise of information overload and focus on essential structural variables [3]. Group 2: Misalignment in AI Implementation - Many companies attribute their failures in implementing large models to the models being "too dumb" or having "too many hallucinations," but the real issue is often a mismatch in business scenarios [9]. - The analogy of fitting an F1 engine into a delivery tricycle illustrates the folly of trying to apply high-powered AI to inefficient traditional business processes [9]. Group 3: Historical Context and Lessons - The article draws parallels between the current AI revolution and the early days of the electrical revolution, where companies failed to adapt their structures to leverage new technologies effectively [12][13]. - It highlights the importance of removing outdated processes (the "transmission shaft") to fully utilize the capabilities of new technologies [12][16]. Group 4: The New Business Landscape - In the AI era, services rated below 90 points are at risk of becoming obsolete, leading to a market split where only the top 1% will survive [20]. - The article discusses the shift from traditional hourly billing to results-based pricing, urging companies to find new competitive advantages [21]. Group 5: Product Development Evolution - The role of product managers is evolving from "architects" to "gardeners," focusing on creating adaptable products that meet human needs rather than rigidly following predefined paths [21]. - The article introduces the concept of "AI native" products and the need for a new framework to evaluate their authenticity [25]. Group 6: Future Insights - The article suggests that understanding the underlying principles of AI and its impact on business will enable companies to seize opportunities in the changing landscape [28][29]. - It emphasizes the importance of mastering future judgment methods and actionable frameworks to navigate the evolving market [29].