The Scientist vs. the Machine
Good on Paper
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AI's Dual Impact on Scientific Innovation
This chapter explores the effects of large language models on open-source innovation and scientific productivity across various fields. The discussion highlights disparities in how researchers benefit from AI, with top performers seeing significant gains, while lower-performing scientists experience minimal improvement. Additionally, it questions the potential long-term implications of relying on AI, emphasizing the need for skill development and knowledge transfer in scientific communities.
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