Why Traditional Software Testing Breaks Down for AI Agents
嗯,用户让我帮忙总结一篇文章的内容,控制在一百个字以内。看起来这篇文章是关于AI和大语言模型的。首先,我需要确定文章的主题和主要观点。用户提供的内容里有提到“Would I Use LLMs to Rebuild Twitter's Dynamic Product Ads? Yes and No!”,这可能是一个关键点。 接下来,我注意到作者是Manoj Aggarwal,他在Docusign工作,之前在Stripe、Twitter和微软工作过。这可能意味着他有丰富的行业经验,特别是在AI和平台工程方面。文章还提到了一些话题标签,比如#ai-agents、#software-testing、#agentic-ai-testing等,这些都和AI测试相关。 用户的要求是总结内容,不需要特定的开头,直接描述即可。所以我要提炼出文章的核心内容:讨论了LLMs在重建动态广告中的应用,并探讨了其潜力与挑战。这样既涵盖了主题,又符合字数限制。 最后,确保语言简洁明了,不使用复杂的术语,让读者一目了然。 </think> 文章探讨了使用大语言模型(LLMs)重建Twitter动态产品广告的可能性及其优缺点,并分析了AI代理测试、非确定性系统及AI幻觉等挑战与机遇。 2026-1-24 15:37:47 Author: hackernoon.com(查看原文) 阅读量:0 收藏

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byManoj Aggarwal@manoja

Software Engineer | AI / Platform Engineering | Docusign | Ex-Stripe, Twitter, Microsoft

January 24th, 2026

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    byManoj Aggarwal@manoja

    Software Engineer | AI / Platform Engineering | Docusign | Ex-Stripe, Twitter, Microsoft

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    byManoj Aggarwal@manoja

    Software Engineer | AI / Platform Engineering | Docusign | Ex-Stripe, Twitter, Microsoft

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Lead Software Engineer @Docusign

Software Engineer | AI / Platform Engineering | Docusign | Ex-Stripe, Twitter, Microsoft

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