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This approach requires sourcing and maintaining accurate information, which means you can't fabricate numbers or exaggerate metrics. AI models increasingly cross-reference claims across sources, and inconsistencies damage credibility. The data you include must be truthful and, where relevant, attributed to primary sources. But when you consistently provide specific, accurate information, you build a reputation as a reliable source that AI models return to repeatedly.

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但关键在于,以OpenAI和Anthropic为首的AI企业正频繁释放信号,影响投资者情绪。例如Anthropic宣布其旗下的Claude Code工具可用于对运行COBOL语言的老旧系统进行现代化改造后,此举导致IBM股价大跌,因为COBOL相关业务正是IBM的核心业务之一。

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