OpenAI Fixes ChatGPT's Em-Dash Problem, Raising Questions About AI Control

Reviewed byNidhi Govil

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OpenAI CEO Sam Altman announced that ChatGPT can now follow custom instructions to avoid using em-dashes, a punctuation mark that became a telltale sign of AI-generated text. The fix highlights ongoing challenges in controlling AI behavior and raises questions about the path to artificial general intelligence.

OpenAI Addresses Long-Standing Em-Dash Issue

OpenAI CEO Sam Altman announced on Thursday that ChatGPT can now successfully follow custom instructions to avoid using em-dashes, calling it a "small-but-happy win"

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. The announcement came two days after the release of OpenAI's new GPT-5.1 AI model and addresses a problem that has plagued the chatbot since its launch three years ago

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Source: ET

Source: ET

Users can now access this feature through ChatGPT's custom instructions by clicking on their profile icon and selecting Settings or Customize ChatGPT, followed by Custom Instructions

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. However, the fix requires individual user action rather than being a default system-wide change, suggesting that OpenAI still cannot address the underlying cause of the em-dash overuse

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Source: Gizmodo

Source: Gizmodo

The Em-Dash Detection Problem

Em-dashes have become one of the most recognizable indicators of AI-generated text over the past few years. Research from The Washington Post showed that almost half of ChatGPT-generated responses included the punctuation mark at one point this year, representing a fivefold increase compared to 2024

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. This overuse has created significant challenges for human writers who naturally favor em-dashes in their work, as they now face suspicion of using AI assistance

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The punctuation mark, denoted by a long dash (—), differs from a hyphen and is used to set off parenthetical information, indicate sudden changes in thought, or introduce summaries and explanations

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. Its frequent appearance in AI-generated content has led to the development of detection tools and human readers learning to spot em-dash patterns as indicators of artificial authorship

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Theories Behind AI's Em-Dash Obsession

While OpenAI has never officially explained why ChatGPT developed such a fondness for em-dashes, several theories have emerged from researchers and industry observers. One prominent theory suggests that the overuse stems from AI models being trained on 19th-century books, where em-dash usage peaked around 1860 before declining through the mid-20th century

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. These older texts are commonly used as training data because they are in the public domain and avoid copyright issues.

Another theory points to the widespread use of em-dashes on Medium blogs, which serve as a common source of training data for OpenAI's models

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. Large language models tend to output frequently seen patterns from their training data, combined with reinforcement learning processes that rely on human preferences, creating a "smoothed out" average style that may favor em-dash usage in formal writing contexts

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Implications for AI Control and Development

The three-year struggle to address such a seemingly simple formatting issue has raised broader questions about OpenAI's understanding and control of its AI systems. Critics have pointed out that if the world's most valuable AI company has difficulty controlling basic punctuation usage, it may indicate that artificial general intelligence (AGI) is further away than industry claims suggest

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The fact that the solution requires individual user customization rather than a system-wide fix suggests that finding scalable solutions remains challenging for OpenAI

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. Some users in Altman's social media replies have reported that their ChatGPT instances continue to produce em-dashes despite the new instructions, indicating that the fix may not be universally effective

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Broader Context of AI Detection

The em-dash issue represents just one aspect of the ongoing challenge of detecting AI-generated content. Recent research from universities including Zurich, Amsterdam, Duke, and New York University found that while LLMs can effectively emulate mechanical aspects of writing like sentence length, they still struggle with believable emotional tone, often appearing overly positive in social media posts

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The development comes as OpenAI has been emphasizing personalization features and instruction-following capabilities in its latest GPT-5.1 model, positioning the em-dash fix as an example of improved user control rather than a fundamental solution to the underlying model behavior

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Source: AIM

Source: AIM

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