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Topic starter
15/07/2026 5:20 am
I’ve noticed a pattern in some DeepSeek Chat responses where it generates summaries that are overly positive or neutral, even when the source material contains significant criticisms or drawbacks. This isn’t just about tone—it’s about factual completeness.
For example, when asked to summarize a critical user review of a SaaS tool, it might highlight the praised features but omit mentions of bugs, poor support, or high costs described in the same review. This makes the summary misleading. Has anyone else encountered this? What specific prompting or context-setting have you used to force a more balanced and complete output?