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Managing misinformation from LLM-reliant individuals

🧭 worksocial problemSingle report ●●●●● severity 2/5

The reporter is seeking advice on how to handle interactions with people who treat LLM-generated content as objective truth instead of verifying information through reputable sources.

Who's affected: The reporter

⚠️ Single report. This is one person's account. We mark it so until more voices confirm it.

What people do today

πŸ”§ Fix this

Ideas a builder, maker or community group could start on:

  1. A browser extension that overlays a 'hallucination risk' warning on LLM-generated text when copied into emails or documents.
  2. A library of concise, non-confrontational scripts or templates for correcting LLM-based misinformation in professional settings.
  3. A community-curated database of common LLM-generated inaccuracies regarding specific technical or historical topics to provide quick evidence for debunking.
I want to build this

Real voices

β€œA lot of people use LLMs as the source of their objective truth. They have a question that would be very well answered with a search leading to a reputable source, but instead they ask some LLM chat bot and just blindly trust whatever it says.”

Source: Hacker News

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