Generative AI risks human knowledge accumulation via market selection

A new paper argues that generative AI models pose a structural risk to knowledge and cultural production by eroding human temporal learning. This learning, defined as knowledge accumulation through sustained effort, is increasingly mimicked by AI outputs. As verifying the origin of these outputs becomes economically unviable, market incentives shift away from genuine human learning, leading to a collapse in the value of time-intensive work. This erosion is observed across various fields, including academia, law, content creation, and software security. AI

IMPACT Generative AI may devalue human expertise and long-term knowledge development, shifting market incentives away from deep learning.

RANK_REASON The cluster contains a research paper discussing a novel theoretical risk of generative models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• Generative Models
• Human Temporal Learning

• paper
• safety

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →