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作者在 第1段 用了三个 concrete examples 来支撑 humans aren't special 这个 central claim。先说 people once thought 人类独有 use tools 的能力,接着提到 form teams 和 propagate culture,最后用 science has shown 来推翻这些 assumptions。这种 stacking examples 的方式让 argument 更有 credibility,因为它不是 abstract statement,而是用 empirical evidence 来 challenge 人类的 uniqueness,为后文 AI surpassing humans 做了 conceptual groundwork。
信号词
such as for example for instance take... for example including like namely
仿写: 当你要 argue 某个 widespread belief 是 incorrect 时,可以采用这种 pattern:先用 'People once thought...' 或 'It was commonly believed that...' 引出 misconception,然后列举 two to three specific examples,最后用 'but research/evidence shows...' 来 overturn 它。模版:'People once thought that [错误观念], such as [例子1], [例子2], and [例子3], but [反驳依据] has shown that [正确结论].'
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第2段 通过 adding machine (1623) 和 AI artwork winning contest 这两个 spanning centuries 的 examples,展示了 technology 如何 systematically dismantle human cognitive monopoly。前者 anchors 论证在 historical continuity 中,后者 highlights cutting-edge development,两个 temporal bookends 共同 construct 一条 inevitable trajectory,使 'AI surpassing humans' 这个 projection 显得不是 speculation 而是 historical pattern 的 natural extension。
信号词
the first this past recently historically another example
仿写: 当你想 demonstrate 一个 trend 或 pattern 时,选择 chronologically diverse examples 会更 compelling。可以用 'The first [X] was [时间/事件]... This past [时间段], [最新事件]' 这种 temporal bracketing。模版:'The first [突破] occurred in [年份]. Fast forward to [recent time], [最新进展]. This progression suggests that [结论/预测].'
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第3段 到 第5段 构成了一个 elaborate contrast structure。作者将 AI impact 分成 spectrum 的 different points:有些 domains 里 human value persists (象棋),有些里 human skill becomes redundant (插图),还有 hybrid situations (制造业)。这种 three-way contrast 不仅展示了 nuanced reality,更重要的是它 acknowledge complexity 而非 oversimplify,让 argument 显得 more credible and balanced。通过 juxtaposing 这些 scenarios,作者 convey 了 AI's impact is context-dependent 这个 critical insight。
信号词
in some... in other while whereas in contrast on the other hand meanwhile however conversely
仿写: 当 discussing 一个 complex issue 时,设置 spectrum framework 非常 effective。可以用 'In some [领域], [情况A]... In other [领域], [情况B]... And of course, [情况C]' 这种 progression。关键是用 transition words 像 'meanwhile', 'in contrast', 'on the other hand' 来 signal shifts。模版:'In some domains, [scenario A]. In other fields, [scenario B]. And many areas will be [scenario C], where [具体描述].'
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第6段 的 entire structure 是 causal reasoning。'If history is any guide' 作为 premise,引出 'it's almost certain that' 这个 conclusion marker,接着列出 three causal consequences:jobs vanishing, creative workers 变少但更富,tech owners 成为 ultra-rich。这个 chain of causation 将 AI advances 作为 cause,economic and social outcomes 作为 effects,为全文提供了 sobering conclusion。通过 invoking historical patterns 作为 predictive basis,这个 causal argument 获得了 empirical weight。
信号词
cause lead to result in because since as a result consequently therefore thus if... then
仿写: 构建 causal argument 时,先建立 reliable premise (如 'history shows', 'evidence suggests'),再用 certainty markers ('it's certain/likely that') 引出 consequences。如果有 multiple effects,用 parallel structure 列举会更 clear。模版:'If [前提条件], it's [程度词] certain/likely that [结果1], that [结果2], and that [结果3].' 注意用 'that' clause repetition 来 create rhythm。
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第5段 用 manufacturing 中 robots 和 humans 的 relationship 来 analogize 未来 creative fields 的 scenario。这个 analogy 很 powerful 因为 manufacturing automation 是 familiar reality,用它来 illuminate 尚未完全 materialized 的 creative work automation 让 abstract future 变得 concrete and understandable。'like in manufacturing today' 这个 comparison 不仅 explain 概念,更 imply 这种 transition 是 inevitable,因为 manufacturing 已经 walked this path。
信号词
like similar to just as analogous to comparable to in the same way parallel to
仿写: 使用 analogy 时,选择 readers 熟悉且有 clear parallels 的 reference domain。用 'like', 'similar to', 'just as' 等 markers 来 signal comparison。关键是 explain 为什么两个 domains are comparable,不要只是 assert similarity。模版:'Many [领域A] will be [特征], like in [领域B] today, where [具体对应关系]. Just as [B的情况], [A也将如何].'