AI产业链的三层架构：从“卖铲子”到“淘金客”的价值传导要理解上游企业业绩与股价的诡异背离，就需要回到AI产业链的三层架构——一个形象的“淘金热”比喻，能清晰拆解各环节的价值逻辑与生存现状，进而找到这一矛盾的根源。
描述：给定链表 head，对于每个节点，查找其右侧第一个值严格大于它的节点。返回整数数组 answer，answer[i] 为第 i 个节点的下一个更大节点值；若无，则为 0。
，更多细节参见safew官方版本下载
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Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.