只接受友好提问的论点,不算真的被检验过。下面 15 个 Prompt 让 AI 从四个角度攻击你的立场——方法学、实证、意识形态、实务——而且都用最强形式(steelman),不是稻草人。复制一个模板,把论点填进去,你就有了一个随叫随到的”刁难型同行评议人”。
一句话总结: 把你的论点丢进 steelman 模板(模板 1),拿到 3 条以专家口吻写成的反论加上你的最佳回应;论题在价值观上有争议时用跨意识形态切面(模板 2);最后用反驳矩阵(模板 15)把反论变成研究待办清单。截至 2026 年 6 月,Claude Opus 4.7 和 Gemini 3.1 Pro 给出的反论最具对抗性,两者都是 1M token 上下文,可以直接粘整篇初稿而不只是摘要。
该用哪个模型
这类 Prompt 偏爱那种”不轻易附和你”的模型。2026 年 6 月用同一个论点实测:
| 模型 | 做反论的强项 | 备注 |
|---|---|---|
| Claude Opus 4.7 | steelman 最锐利,最不会奉承你 | Pro $20/月;1M token 上下文可放整篇初稿 |
| Gemini 3.1 Pro | 最擅长找真实的实证质疑 | Google AI Pro $19.99/月;1M 上下文 |
| GPT-5.5 Thinking | Q&A 与表格又快又结构化 | ChatGPT Plus $20/月;在模型选择器里选 “Thinking” |
反论质量优先就用 Opus 4.7 或 Gemini 3.1 Pro;想快速练 devil’s-advocate 答辩 Q&A(模板 12)时用 GPT-5.5 Thinking。
适合哪些场景
写论文的学生、辩论队、政策分析师、同行评议者,以及任何要在课堂、期刊、董事会上为立场辩护的人。
什么时候不建议这样写 Prompt
论点还很模糊时不要用——反论需要明确的靶子,先把论点磨清楚。也不要用 AI 替代你所在社群的真实异见者;它能模拟一条反论,却替代不了亲历的经验和学科内的默会知识。
一个好的反论 Prompt 包含什么
下面每个模板都带相同的五个部分。你自己写时也要凑齐这五项:
- 角色:AI 扮演谁——刁难型同行评议人、辩论对手、答辩委员会、邻近学科的专家。
- 靶子:用引号框住的确切论点、主张或方案,加上你的学科和水平。
- 目标:一个具体交付物——3 条最强反论、6 行反驳表、8 对答辩 Q&A。
- 质量门槛:“不要稻草人""用真专家会用的口吻""能一句话驳回的就太弱”。
- 输出格式:编号清单、表格或成对 Q&A,能直接粘进你的稿子。
这套 Prompt 适合用在哪
- 论文”反对意见与回应”段
- 答辩准备
- 政策简报压力测试
- 多立场辩论准备
- Op-ed、说服性写作加固
15 个可直接复制的 Prompt 模板
占位符用 [方括号] 标出——把方括号里的文字换成你自己的。论点外面的引号要保留,这样模型会把它当成原样的靶子。
1. 最强形式反论(steelman)
逼 AI 用对方最佳口吻进攻。
You are a skeptical peer reviewer. Read my thesis: "[thesis]". Generate the 3 strongest objections, each in the form a serious expert on the other side would phrase it. For each: a 1-paragraph objection, the evidence or principle behind it, and my best possible reply. No strawmen.
填入: 你的论点。
反论太弱时追加这句:“If your objection could be dismissed in one sentence, it is too weak. Rewrite stronger.” 在 Opus 4.7 和 GPT-5.5 上,这一句能明显提高门槛。
2. 跨意识形态切面
For the thesis "[thesis]", generate 5 objections from 5 different ideological angles (progressive, conservative, libertarian, communitarian, technocratic — adapt to topic). Each objection in its own voice; no caricatures.
3. 实证质疑
List 5 empirical findings or datasets that could undermine the claim "[claim]". For each: 1-sentence summary, 1-sentence why it matters, the kind of source that would publish it.
务必核实。 模型可能编出听上去很可信、实际并不存在的研究;引用前先在 Google Scholar 逐条确认。
4. 方法学反驳
My study uses [method] to test [hypothesis]. List 4 methodological objections a reviewer would raise (sample, measurement, design, analysis). For each: how I would mitigate or acknowledge it in the limitations section.
5. 实务方反对
My thesis "[thesis]" applies to [practical domain]. List 4 objections that practitioners (teachers, clinicians, engineers, founders — pick the relevant group) would raise based on day-to-day experience the academic literature misses.
6. 历史反例
Find 3 historical cases that contradict the thesis "[thesis]". For each: 1-paragraph case description, why it cuts against my thesis, how I might explain it within or as exception to my framework.
7. 滑坡 / 意外后果测试
If my proposal "[proposal]" were implemented widely, what 3 unintended consequences would critics predict? For each: causal chain in 2 sentences, plausibility (low / med / high), and what monitoring would detect it early.
8. 定义类反驳
My thesis relies on the term "[term]". List 3 alternative definitions a critic could push, each leading to a different conclusion. For each: the definition, the implied conclusion, and how I defend my chosen definition.
9. 成本 / 可行性反驳
For my proposal "[proposal]", list 3 cost or feasibility objections (budget, staffing, infrastructure, political). For each: a rough magnitude of the concern and a 1-sentence response or trade-off.
10. 边界情境探测
Generate 5 edge cases where the thesis "[thesis]" plausibly breaks. For each: scenario in 1 sentence, why it strains the thesis, whether the thesis can be repaired or must be narrowed.
11. “如果我错了”反思
Pretend my thesis "[thesis]" turned out to be wrong in 5 years. Write the 200-word post-mortem: which assumption failed, what evidence emerged, what we should have anticipated, what a wiser version of my paper would have said.
12. Devil’s-advocate Q&A
Generate 8 hostile but fair Q&A pairs about my thesis "[thesis]" in the format of a thesis defense. Each Q: 1-2 sentences, sharp. Each A: 2-3 sentences, honest, no dodging.
13. 反对与回应段(论文可粘)
Write a 150-word "objection and reply" paragraph for an academic essay. Use this structure: "One might object that... Indeed, [evidence for objection]. However, [my reply with evidence]. Therefore, [refined thesis]." Thesis: "[thesis]". Objection focus: [objection topic].
14. 跨学科反驳
My thesis lives in [field]. List 3 objections an expert from [adjacent field] would raise, using their disciplinary vocabulary and standards of evidence. For each, how my field would or would not absorb the objection.
15. 反驳矩阵
Output a 4-column table for my thesis "[thesis]": objection | strongest evidence for objection | my reply | residual weakness I still need to address. 6 rows.
容易踩的坑
- 让 AI 搭稻草人——必须要求 steelman。
- 只挑容易反的,挑完就宣告胜利。
- 只看反论不写回应——一半工作量在回应。
- 因为实务派没用学术语言就忽略他们的反对。
- 不区分反论权重——给所有反论打优先级。
- 编造没人真持有的”专家观点”——遇到要核实。
- 跳过”如果我错了”——谦逊产出更锐利的文章。
优化技巧
- 永远要求”真专家会怎么说”的口吻。
- 记录无法回应的反论——你的真正研究就在那里。
- 论文里专门设”反对意见”段处理最强 1-2 条。
- 辩论用模板 12 模拟 Q&A,反复压最强 3 条。
- 论点修订后重跑 Prompt——论点变了反论也变。
- 把”残余弱点”列(模板 15)当 to-do 清单。
- 每月用模板 11 检视一次最坚持的信念,建立思想免疫。
FAQ
- 怎么判断 AI 反论是真问题?: 能否说出 1-2 位实际持此观点的专家或文献。说不出就先存疑,再核。
- 3 条反论够吗?: 1500 字 essay 够;论文或大稿计划 6-10 条,跨类别(模板 2)。
- AI 能生成它不认同立场的反论吗?: 可以,特别是被指定角色 + 要求强形式时。
- 好回应该怎么写?: 承认反论的强度,再收窄论点或补新证据;不要直接驳回。
- 什么时候该放弃论点而不是辩护?: 最强反论没有诚实回应,或要靠”切香肠”才行时——改论点而不是死守。