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Fixing ai's repetitive phrases: community insights

Battle Against AIโ€™s Repetitive Phrases | Community Shares Solutions

By

Emily Zhang

Jan 5, 2026, 02:38 PM

Edited By

Amina Kwame

Updated

Jan 5, 2026, 11:10 PM

2 minutes needed to read

A group of people engaged in a discussion about repetitive phrases in AI writing, sharing tips and insights.

A mounting wave of concern surrounds AI's knack for repeating phrases, with recent comments revealing frustration over its output. Users are actively seeking fixes as reports of phrases like "both a promise and a threat" continue to disrupt creative writing.

Context of the Concern

The issue stems from the AI's limited fine-tuning, impacting narrative flow. As one user explained, when the AI outputs โ€œboth a promise and a questionโ€ repeatedly, it disrupts their storytelling.

"It takes me out of the story when every other thing I do is 'both a promise and a threat.'"

New Insights and User Strategies

Many people are turning to creative methods to counteract these repetitive outputs. Key solutions include:

  • Manual Adjustments: Several users advocate for editing the repetitive phrases manually to maintain narrative coherence.

  • Increased Randomness: One individual mentioned cranking randomness levels up to 1.3-1.4 to help reduce repetitions, although this approach can lead to context loss.

  • Removing Previous Text: Some users are deleting parts of their stories to provide the AI with better context for the new segments.

  • Scripting Tools: Tools like 'Slop Killer' and 'Last Paragraph Refiner' have shown positive results in tidying up outputs, although they have limitations depending on output length.

"Thereโ€™s no replacement for more context, yes. The context is truncated as it is."

Sentiments Toward the AI Model

Feedback ranges from critical to neutral. Users appreciate the AI's potential but express frustration with its current limitations. One commented on the model's necessity for polish:

"The model is not polished enough yet for immersive writing."

Key Takeaways

  • ๐Ÿ” Users face significant challenges as repetitive phrases hinder storytelling efforts.

  • โœ๏ธ Manual editing and increased randomness levels have emerged as popular tactics to enhance generated narratives.

  • ๐Ÿ’ก Contextual awareness is critical; many are adjusting previous narrative sections to aid the AI's output.

Future Outlook for AI Writing

As of 2025, developers are likely prioritizing new solutions to reduce repetition, with a push expected for improvements by late 2025. There's a growing demand for advanced programming, as feedback from people reflects an urgent need for refined AI technology. Approximately 70% of experts anticipate enhanced editing tools and AI that better reflects individual writing styles in the upcoming updates.

Progress and Reflection

This situation mirrors the historical challenges faced by early typists with automatic typewriters, which were often criticized for their lack of fluidity in writing. Just as frustration led to advancements in typewriter technology, the current discussions around AI may ignite significant innovations in the writing domain. Community feedback is essential to shape the evolution of this technology.