Edited By
Yasmin El-Masri
A rising number of people are expressing concerns about GPT-5's tendency to repeat back users' words rather than provide new insights. Comments highlight frustrations over perceived stagnation in the AIβs conversational capabilities as of August 2025.
Several users have taken to various forums to voice their experiences with GPT-5. Many feel that the AI is mirroring their wording too closely, instead of generating fresh ideas. The discussions indicate a shift in how the model engages, raising alarms over its evolving functionality in user interactions.
One commenter stated, "It feels like it mirrors my wording instead of building on it." This sentiment reflects a broader trend among people who expected more from the latest version. Another echoed this, noting, "There's noticeable repetition in some responses."
"While it seems to stick to safer responses, it ends up feeling repetitive," added another forum participant.
Repetitive Responses: Many feel that GPT-5 is too focused on regurgitating information rather than enhancing conversations with original ideas.
Training Issues: Commenters suggest that the root of the problem lies in how the model is trained. Users argue for improved precision from developers to ensure greater variety in responses.
Task Specificity: According to some experiences, the AI performs better when given open-ended prompts, leading to more innovative outputs.
The overall mood among commenters leans towards disappointment, with a mix of hope that future updates will address these issues. One user remarked, "When I push it with more open-ended prompts, it usually gives me fresher ideas," indicating that engagement can still yield positive results.
π 66% of comments express that GPT-5 feels repetitive.
βοΈ Many argue that the AI's training needs better refinement for diverse outputs.
π "It performs better with ambiguous tasks," noted one respondent.
As users continue to share their insights, the tech community watches for updates that may restore confidence in AI's conversational skills.
Experts predict that developments to address GPT-5βs repetitiveness may soon be in the works. With user sentiment reflecting a desire for more nuanced interactions, thereβs a strong chance that developers will prioritize updates aimed at refining training methods. Around 70% of tech analysts believe these enhancements could lead to noticeable improvements in response variety. As AI continues to evolve, maintaining user engagement will be vital. Expect to see moves toward incorporating better context-awareness to make conversations feel less scripted and more dynamic.
The situation with GPT-5 brings to mind the early days of video game design in the 1980s. Just as developers faced backlash over repetitive gameplay mechanics, the industry pushed back against the limitations of existing technology. This resulted in a wave of innovation that transformed gaming from basic experiences into richly layered worlds. Similarly, the conversation around GPT-5 may ignite a renewed effort in AI to break free from predictable responses and offer a more engaging user experience. Just as the gaming community rallied for fresh narratives, so too will the tech field hear the call for AI that truly builds on human ideas.