Large language models reduce public knowledge sharing on online Q&A platforms
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- 53 minutes ago | 3 points | 0 comments
- URL: https://academic.oup.com/pnasnexus/article/3/9/pgae400/7754871
- Discussions: https://news.ycombinator.com/item?id=41827043
- Summary: Large language models (LLMs) like ChatGPT have reduced public knowledge sharing on online Q&A platforms. The release of ChatGPT led to a 25% decrease in activity on Stack Overflow, a key reference website for software development and programming, within 6 months. This decline was observed across all user experience levels and was more pronounced for posts related to popular programming languages such as Python and JavaScript. The study found no significant change in post quality, measured by peer feedback, and no evidence that ChatGPT replaced low-quality posts. The findings suggest that the rapid adoption of LLMs reduces the production of public data needed to train them, with significant consequences for the sustainability of the current AI ecosystem.
npub1ak…rnelz
2024-10-13 12:20:23
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"content": "Large language models reduce public knowledge sharing on online Q\u0026A platforms\n----\n- 53 minutes ago | 3 points | 0 comments\n- URL: https://academic.oup.com/pnasnexus/article/3/9/pgae400/7754871\n- Discussions: https://news.ycombinator.com/item?id=41827043\n- Summary: Large language models (LLMs) like ChatGPT have reduced public knowledge sharing on online Q\u0026A platforms. The release of ChatGPT led to a 25% decrease in activity on Stack Overflow, a key reference website for software development and programming, within 6 months. This decline was observed across all user experience levels and was more pronounced for posts related to popular programming languages such as Python and JavaScript. The study found no significant change in post quality, measured by peer feedback, and no evidence that ChatGPT replaced low-quality posts. The findings suggest that the rapid adoption of LLMs reduces the production of public data needed to train them, with significant consequences for the sustainability of the current AI ecosystem.",
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