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LLM-based Fact Checking for Popular Posts?
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本文探讨了在LessWrong(LW)平台上引入基于大型语言模型(LLM)的事实核查功能的潜在价值。文章权衡了该功能带来的好处与挑战,包括提高文章内容的准确性、激发更深入的讨论,以及节省读者时间等。同时,文章也讨论了实施细节,例如应核查哪些帖子、核查的频率以及核查结果的呈现方式,旨在引发社区对这一改进措施的思考和讨论。

🤔 引入LLM事实核查的主要优势在于提升文章内容的真实性,激励作者更严谨地研究材料,并促进读者在更广泛的背景下理解文章内容。此外,它还有助于节省读者自行核查的时间,并可能引发基于LLM反馈的有趣讨论。

⚠️ 实施LLM事实核查也面临挑战,包括实施和维护的时间成本、运行LLM的资金成本,以及事实核查可能出现的错误。这些问题需要在决策过程中被仔细衡量。

💡 文章建议优先对阅读量最高的帖子进行事实核查,如《序列》、The Codex和每年最佳LessWrong文章。对于不太受欢迎的帖子,则需权衡成本。文章还探讨了自动核查与用户按需核查的可能性,以及核查报告的呈现方式,例如在评论区展示。

🧐 文章鼓励社区成员思考LLM事实核查的利弊,并就如何实施这一功能提出建议,旨在推动LessWrong平台的信息质量和用户体验的提升。

Published on April 18, 2025 9:26 PM GMT

Hello,

I think having some LLM-based fact checking on LessWrong posts would be a valuable addition.

To some extent comments already serve this purpose, but LLMs can do this in a more automated and systematic way, side-stepping human blind spots and tendency to conserve energy.

1. Some pros and cons

Cons:

Pros:

2. Some thoughts on implementation details

Should fact checking be done on all posts or only some of them?

I would like fact checking to be enabled on the most read posts. This includes: The Sequences, The Codex, and the Best of Less Wrong for each year. Enabling them for other popular posts also makes sense.

I am not sure about less popular posts as it might cost a lot of money. Another concern is that it could intimidate new authors, though this could be mitigated by allowing the author to run the fact-checking before publishing.

Another consideration is whether the fact-checking should happen automatically when the post reaches some degree of popularity, or should be performed on demand by (some) users.

Where should the LLM's report go?

I imagine it going in a comment, perhaps pinned or otherwise highlighted, but subject to user feedback.


What do you think are the pros & cons of LLM-based fact checking for LW posts?

If this is to be implemented, how should it be implemented?



Discuss

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