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[ARTICLE · art-30006] src=news.ycombinator.com ↗ pub= topic=large-language-models verified=true sentiment=↓ negative

Ask HN: How do you make LLM generated text believable?

A graduate student using LLMs for management and IR tasks struggles with AI-generated reports that appear too polished yet contain hallucinated numbers, risking SEC and boss scrutiny. The user seeks methods to eliminate numerical errors in LLM outputs.

read1 min views1 publishedJun 16, 2026

| |||||||||||||||| 1 point by | As a graudate student who just working as management & IR, I use LLM to do daily jobs , including weekly briefing and But AI generated report looks too good to be checked, and hallucination can't be terminated. But Boss and SEC can not tolerate any number mistakes. So, can you tell me, how do you solve this problem? | ||||||||||||||| |

source & further reading
news.ycombinator.com — original article Ask HN: Looking for mobile app ideas with real user demand Ask HN: How do you stay at the bleeding edge of AI tooling? Show HN: Memento – Self-hosted agentic search and LLM wiki over your email
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