An independent developer found that a locally run 35B parameter LLM invented facts when tasked with generating synopses for TV show pages. The model confidently fabricated information, such as misinterpreting internal flags, including relative dates in long-term content, and incorrectly stating a show's completion status. The developer concluded that LLMs should only be used for phrasing facts provided by reliable, human-written code, rather than generating content from scratch, to avoid such factual inaccuracies. AI
IMPACT Highlights the risks of LLM hallucination and the need for human oversight in content generation.
RANK_REASON Developer's personal experience and opinion on LLM limitations.
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