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Gary Marcus(@GaryMarcus)

if even coding doesn’t make serious RoI for users, the jig is probably up.

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if even coding doesn’t make serious RoI for users, the jig is probably up.

TL;DR · AI Summary

Gary Marcus质疑AI编程工具的投资回报率,援引Jeffrey Lee Funk观点指出其成本上升、缺陷未减,暗示当前AI编码热潮可能难以为继。

Key Takeaways

  • AI编程工具的单位开发者成本已翻倍,经济性持续恶化
  • Claude与GitHub Copilot等工具费用上涨,但代码缺陷问题仍未缓解
  • NVIDIA称AI开发成本高于人工,与实证观察一致

Outline

Jump quickly between sections.

  1. 提出AI编码尚未产生显著ROI,预示技术泡沫风险。

  2. 引用Funk数据:AI工具成本翻倍,而bug率未降。

  3. NVIDIA公开表态AI开发比人力更昂贵。

  4. 若最易落地的编码场景都难盈利,其他AI应用更存疑。

Mindmap

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查看大纲文本(无障碍 / 无 JS 友好)
  • AI编程工具ROI危机
    • 成本问题
      • 单位开发者成本翻倍
      • Claude/Copilot费用上涨
    • 质量瓶颈
      • bug率未显著下降
    • 行业印证
      • NVIDIA:AI开发成本 > 人力

Highlights

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#AI#软件工程#经济学#编程工具
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Gary Marcus

@GaryMarcus

if even coding doesn’t make serious RoI for users, the jig is probably up.

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jeffrey lee funk

@jeffreyleefunk

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13h

Economics of AI coding tools are crumbling. Cost per developer has doubled because cost of Claude code and microsoft copilot are rising even as bugs remain a problem, all consistent with Nvidia's statement that AI is more expensive than humans. https://futurism.com/artificial-int elligence/economics-ai-churn-code…

8:11 PM · May 3, 2026

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