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Large language models reduce public knowledge sharing on online Q&A platforms
L: https://academic.oup.com/pnasnexus/article/3/9/pgae400/7754871
C: https://news.ycombinator.com/item?id=41827043
posted on 2024.10.13 at 07:26:42 (c=0, p=5)

a) Time series of weekly posts to Stack Overflow since early 2016. The number of weekly posts decreases at a rate of about 7,000 posts each year from 2016 to 2022. In the 6 months after the release of ChatGPT, the weekly posting rate decreases by around 20,000 posts. b) Comparing posts to Stack Overflow, its Russian- and Chinese-language counterparts, and mathematics Q&A platforms since early 2022. Post counts are standardized by the average and standard deviation of post counts within each platform prior to the release of ChatGPT. Posting activity on Stack Overflow falls significantly more relative to activity on other platforms.

OUP AcademicLarge language models reduce public knowledge sharing on online Q&A platformsAbstract. Large language models (LLMs) are a potential substitute for human-generated data and knowledge resources. This substitution, however, can present

Oct 13, 2024, 12:22 PM··Top50 HN Post

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