生成悖论：面向人类能力的 Anti-Prompt 范式（arXiv 论文解析）
The generative paradox: the Anti-Prompt paradigm for human capability
AI 导读
arXiv 论文提出“生成悖论”，指出教育中的生成式 AI 通常只关注人机协作产出，忽视了协助消失后人类仍能理解、修复与迁移的能力。作者提出发展性功能分配，将保留人类能力作为设计目标，并给出 Anti-Prompt 范式：当即时生成会取代关键的人类行为时，AI 应先为人类建构创造条件。论文通过数学推理、实验科学、软件诊断和课程设计的压力测试加以说明，并提出可证伪的预测。
正文 · 原文
Abstract:Generative AI in education is usually judged by the output of human-AI teams. That focus overlooks a second outcome: what people can still understand, challenge, repair, and adapt when assistance changes or disappears. We call this tension the generative paradox and distinguish four manifestations: performance, assistance, ownership, and capability stock. We propose developmental function allocation, which complements operational function allocation and meaningful human control by treating retained human capability as a design objective alongside current joint performance. The Anti-Prompt paradigm reverses the default interaction order: when immediate generation would preempt a consequential human act, AI should first create the conditions for human construction. We distinguish the validity of a product, responsibility for its construction, and evidence of capability after support changes. Representative Anti-Prompts, a canonical interaction sequence, and stress tests spanning mathematical reasoning, experimental science, software diagnosis, and lesson design make these distinctions concrete. We conclude with falsifiable predictions about retained capability and a system-level hypothesis about the reproduction and distribution of expertise.
| Comments: | 17 pages, 2 figures, 2 boxes |
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.40151 [cs.AI] |
| (or arXiv:2610.40151v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.40151 arXiv-issued DOI via DataCite |
Submission history
From: Margarita Trifonov [view email]
[v1]
Thu, 29 Oct 2026 14:35:05 UTC (631 KB)
来源：arXiv cs.AI · arxiv.org