Daily Productive Sharing 1193 - Deep Research and Knowledge Value

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Ben Thompson shared his impressions after using ChatGPT Deep Research, a service priced at $200/month:

1. In his definition, the value of "deep research" lies somewhere between information synthesis and knowledge creation—it efficiently compiles existing insights.
2. He observed that Deep Research might perform poorly on overly broad topics, as these areas are heavily contaminated by low-quality content.
3. The more specific, professional, and obscure the subject, the better Deep Research is at identifying genuinely high-quality, targeted information.
4. Of course, effectiveness also depends on whether critical information actually exists in accessible formats.
5. As information retrieval becomes highly efficient, traditional methods of creating competitive advantage through information alone will diminish.
6. The internet is increasingly flooded with low-quality information, making AI perhaps our best tool to sift through the noise and extract real value.
7. Yet, he wonders: If information retrieval becomes too efficient, what remains as a competitive advantage?
8. Although the internet is overloaded with poor-quality content, AI tools can help us clarify and discover truly valuable insights amidst the chaos.
9. He also reflects on whether the proliferation of AI-driven research tools will inadvertently reduce the incentive for original human inquiry and creative exploration.
10. AI tools excel more significantly when dealing with precise, specialized, or obscure topics, as they're better at surfacing targeted, high-quality information.

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Ben Thompson 在使用了要价每月 200美金的 ChatGPT Deep Research 之后，印象深刻：

1. 在我的定义中，“深度研究”的价值介于资讯整合和知识创造之间：它能够高效地整合现有研究，并产生经济上的价值，但尚未创造出全新的知识。
2. Deep Research 服务让我意识到，我们本可以知道得更多、更深入。虽然我阅读了大量材料，但依然有所不足。
3. 我发现，Deep Research 对某些宽泛的领域反而可能表现不佳，因为这些领域的信息早已被大量低质内容污染。
4. 主题越精准、越专业、越晦涩，DeepResearch 就越容易找到真正高质量、针对性强的内容。
5. 当然，这也取决于关键信息是否真的存在于互联网上。
6. 实际上，随着信息不对称逐渐消失，这种深度研究工作的重要性将显著增加。
7. 在 AI 能迅速处理所有公开信息的情况下，依赖“信息不对称”来盈利的策略将越来越难以实现。
8. 互联网正逐渐被大量低质信息所淹没，而 AI 的出现，或许是我们理清这些混乱信息、挖掘真正有价值内容的最好工具。
9. 但我也在思考：如果信息获取变得如此高效，那么一路上偶然的发现（serendipity）会不会因此消失？
10. 我很早就在理性上知道 AI 将取代大量知识工作，但当它真正开始发生时，我仍然强烈地感受到这种冲击。

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