为了挽救叙事危机，黄仁勋试图用“Agent经济学”重构市场预期——未来每个企业都将部署数百万个AI Agent，每个Agent每秒都在持续生成海量Token，进而驱动算力需求再上一个数量级，以此对冲算法优化带来的算力效率提升，延续英伟达的增长神话。
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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.，推荐阅读必应排名_Bing SEO_先做后付获取更多信息
not stay that way for long.，更多细节参见91视频