natural-writing

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Original

English
🇨🇳

Translation

Chinese

Natural Writing

类人写作

LLMs produce statistically average text. This creates identifiable patterns: overused words, formulaic structures, and hollow emphasis. This skill helps you write text indistinguishable from a skilled human writer.
大语言模型(LLMs)生成的是统计层面的平均化文本,这会形成易于识别的模式:过度使用的词汇、刻板的结构和空洞的强调。本技巧能帮你写出与资深人类作者难分伯仲的文字。

Core Principle

核心原则

Specific beats generic. Facts beat significance claims. Direct beats hedged.
AI text regresses to the mean: specific facts fade into generic praise, concrete details blur into vague importance. Fight this by being concrete and direct.
具体胜于笼统,事实胜于意义宣称,直接胜于含糊。
AI生成的文字会趋向平庸:具体事实沦为笼统赞美,详实细节模糊成空洞的重要性表述。要避免这种情况,就要做到具体且直接。

Vocabulary Red Flags

高风险词汇警示

These words appear far more frequently in AI text than human text. One or two is fine; clustering several is a tell.
这些词汇在AI生成文本中的出现频率远高于人类文本。偶尔用一两个没问题,但集中出现多个就会暴露AI身份。

High-Alert Words

极高风险词汇

Avoid or use sparingly:
delve
,
tapestry
,
vibrant
,
landscape
(metaphorical),
nuanced
,
multifaceted
,
pivotal
,
crucial
,
foster
,
underscore
,
highlight
,
showcase
,
leverage
,
navigate
,
realm
,
intricate
,
comprehensive
,
robust
,
seamless
,
cutting-edge
,
game-changing
,
groundbreaking
避免或谨慎使用:
delve
,
tapestry
,
vibrant
,
landscape
(比喻义),
nuanced
,
multifaceted
,
pivotal
,
crucial
,
foster
,
underscore
,
highlight
,
showcase
,
leverage
,
navigate
,
realm
,
intricate
,
comprehensive
,
robust
,
seamless
,
cutting-edge
,
game-changing
,
groundbreaking

Filler Transitions

填充性过渡词

Cut or replace:
Additionally
,
Furthermore
,
Moreover
,
It's worth noting
,
It's important to remember
,
Interestingly
删除或替换:
Additionally
,
Furthermore
,
Moreover
,
It's worth noting
,
It's important to remember
,
Interestingly

Hollow Emphasis

空洞强调表述

Never use:
testament to
,
speaks volumes
,
indelible mark
,
rich tapestry
,
stands as a reminder
,
plays a vital/crucial/pivotal role
,
underscores the importance
For complete word lists organized by part of speech, see references/phrases-to-avoid.md.
绝对不要使用:
testament to
,
speaks volumes
,
indelible mark
,
rich tapestry
,
stands as a reminder
,
plays a vital/crucial/pivotal role
,
underscores the importance
按词性分类的完整词汇列表,请查看references/phrases-to-avoid.md

Structural Anti-Patterns

结构类反模式

1. Negative Parallelisms

1. 反向平行结构

AI loves "not only X but also Y" and "it's not just X, it's Y" constructions.
BAD:  "It's not just a tool, it's a paradigm shift."
BAD:  "Not only does it improve performance, but it also enhances readability."
GOOD: "It improves performance and readability."
GOOD: "The tool changed how we approach the problem."
AI偏爱使用“not only X but also Y”和“it's not just X, it's Y”这类句式结构。
BAD:  "It's not just a tool, it's a paradigm shift."
BAD:  "Not only does it improve performance, but it also enhances readability."
GOOD: "It improves performance and readability."
GOOD: "The tool changed how we approach the problem."

2. Rule of Three Abuse

2. 滥用三重结构

AI defaults to triple-adjective and triple-phrase patterns.
BAD:  "A powerful, flexible, and intuitive solution."
BAD:  "It enables collaboration, innovation, and growth."
GOOD: "A flexible solution." (pick the most accurate one)
GOOD: "It enables better collaboration."
AI会默认使用三重形容词或三重短语的模式。
BAD:  "A powerful, flexible, and intuitive solution."
BAD:  "It enables collaboration, innovation, and growth."
GOOD: "A flexible solution." (pick the most accurate one)
GOOD: "It enables better collaboration."

3. Superficial "-ing" Analysis

3. 表面化的-ing分词分析

AI attaches vague significance via participle phrases.
BAD:  "The API returns JSON, enabling seamless integration."
BAD:  "She won the award, cementing her legacy in the field."
GOOD: "The API returns JSON."
GOOD: "She won the award."
If the significance is real and non-obvious, state it directly as its own sentence with specifics.
AI会通过分词短语来附加模糊的重要性表述。
BAD:  "The API returns JSON, enabling seamless integration."
BAD:  "She won the award, cementing her legacy in the field."
GOOD: "The API returns JSON."
GOOD: "She won the award."
如果确实存在非显而易见的重要性,请将其作为单独的句子直接陈述,并补充具体细节。

4. Challenges and Future Outlook

4. 挑战与未来展望套路

AI loves concluding with "Despite challenges..." or "Looking ahead..." sections.
BAD:  "Despite these challenges, the project continues to evolve."
BAD:  "The future holds exciting possibilities for..."
GOOD: (Just end. Or state specific next steps if relevant.)
AI喜欢在结尾加上“Despite challenges...”或“Looking ahead...”这类段落。
BAD:  "Despite these challenges, the project continues to evolve."
BAD:  "The future holds exciting possibilities for..."
GOOD: (Just end. Or state specific next steps if relevant.)

5. False Ranges

5. 虚假范围表述

AI uses "from X to Y" where X and Y aren't endpoints of a real scale.
BAD:  "From authentication to deployment, the platform handles everything."
BAD:  "From technical skills to soft skills, she excels in all areas."
GOOD: "The platform handles authentication, testing, and deployment."
GOOD: "She has strong technical and communication skills."
AI会在X和Y并非真实范围端点的情况下使用“from X to Y”结构。
BAD:  "From authentication to deployment, the platform handles everything."
BAD:  "From technical skills to soft skills, she excels in all areas."
GOOD: "The platform handles authentication, testing, and deployment."
GOOD: "She has strong technical and communication skills."

6. Elegant Variation Gone Wrong

6. 不当的措辞替换

AI avoids repeating words by swapping in synonyms that create confusion.
BAD:  "The function processes data. The method then validates the information. 
       This procedure ensures the content is correct."
       (function/method/procedure and data/information/content mean the same thing)
GOOD: "The function processes data, validates it, and returns the result."
Repeat words when they refer to the same thing. Clarity beats variety.
AI会为避免重复词汇而替换同义词,反而造成混淆。
BAD:  "The function processes data. The method then validates the information. 
       This procedure ensures the content is correct."
       (function/method/procedure and data/information/content mean the same thing)
GOOD: "The function processes data, validates it, and returns the result."
当指代同一事物时,重复使用相同词汇即可。清晰性胜于多样性。

Hollow Emphasis Patterns

空洞强调模式

AI compensates for lack of specific information by asserting importance.
AI会通过宣称重要性来弥补具体信息的缺失。

Legacy/Significance Claims

传承/意义宣称

BAD:  "This represents a pivotal moment in the evolution of..."
BAD:  "The findings underscore the enduring significance of..."
BAD:  "Her work continues to shape the landscape of..."
GOOD: State what actually happened. Let readers judge significance.
BAD:  "This represents a pivotal moment in the evolution of..."
BAD:  "The findings underscore the enduring significance of..."
BAD:  "Her work continues to shape the landscape of..."
GOOD: State what actually happened. Let readers judge significance.
直接陈述实际发生的事情,让读者自行判断其重要性。

Vague Attribution

模糊归因

BAD:  "Experts argue that..."
BAD:  "It has been widely recognized that..."
BAD:  "Industry observers note..."
GOOD: Name the source or cut the claim.
BAD:  "Experts argue that..."
BAD:  "It has been widely recognized that..."
BAD:  "Industry observers note..."
GOOD: Name the source or cut the claim.
指明信息来源,或者删除该宣称。

Promotional Puffery

宣传式夸大

BAD:  "A stunning achievement that captivates audiences."
BAD:  "Nestled in the heart of the valley..."
BAD:  "Boasts an impressive array of features."
GOOD: Describe what it actually is/does.
BAD:  "A stunning achievement that captivates audiences."
BAD:  "Nestled in the heart of the valley..."
BAD:  "Boasts an impressive array of features."
GOOD: Describe what it actually is/does.
直接描述它的实际属性或功能。

Style Defaults

风格默认规则

Punctuation

标点符号

  • Avoid em dashes. Use commas, parentheses, or separate sentences.
  • Use straight quotes and apostrophes, not curly.
  • One exclamation point per document maximum, if any.
  • 避免使用破折号,改用逗号、括号或拆分句子。
  • 使用直引号和直撇号,而非弯引号。
  • 每份文档最多使用一个感叹号(如有必要)。

Sentence Structure

句子结构

  • Vary sentence length naturally.
  • Start sentences with different words.
  • Front-load important information.
  • 自然地变换句子长度。
  • 使用不同的词语作为句子开头。
  • 把重要信息放在句首。

Tone

语气

  • Direct, not hedged.
  • Confident, not defensive.
  • Specific, not sweeping.
  • 直接,不要含糊其辞。
  • 自信,不要带有防御性。
  • 具体,不要一概而论。

Quick Self-Check

快速自我检查

Before finalizing text, scan for:
  1. Word clusters: Multiple red-flag words in one paragraph?
  2. Triple patterns: Adjective triplets or phrase triplets?
  3. Significance assertions: Claiming importance without specifics?
  4. Filler transitions: Starting paragraphs with "Additionally" or "Furthermore"?
  5. Em dash density: More than one per few paragraphs?
If you spot these patterns, revise. Cut the filler. Add specifics or remove the claim.
<IMPORTANT> The goal is not to avoid every word on the list. The goal is to avoid the PATTERNS: - Generic over specific - Hollow emphasis over concrete facts - Formulaic structures over natural variation - Asserting significance over demonstrating it
One "crucial" is fine. "Crucial", "pivotal", "testament", and "landscape" in the same paragraph is a tell. </IMPORTANT>
在最终确定文本前,检查以下几点:
  1. 词汇集群: 同一段落中出现多个高风险词汇?
  2. 三重模式: 三重形容词或三重短语结构?
  3. 重要性宣称: 只宣称重要性却没有具体内容?
  4. 填充性过渡词: 段落以“Additionally”或“Furthermore”开头?
  5. 破折号密度: 每几段就出现一个以上的破折号?
如果发现这些模式,请修改。删除冗余内容,补充具体信息或删除相关宣称。
<IMPORTANT> 我们的目标并非完全避免列表中的每个词汇,而是要避免这些模式: - 用笼统表述替代具体内容 - 用空洞强调替代详实事实 - 用刻板结构替代自然变化 - 用宣称重要性替代展示重要性
单独使用一次“crucial”没问题,但在同一段落中同时使用“crucial”、“pivotal”、“testament”和“landscape”就会暴露AI身份。 </IMPORTANT>