Large Language Models (LLMs) are increasingly integrated into daily human life, serving as emotional companions, advisors, and conversational partners for billions of users worldwide. This paper argues that two underexamined mechanisms inherent to LLM design-gaslighting (the direct contradiction and invalidation of user beliefs, perceptions, and emotions) and domestication (the subtle, undisclosed reshaping of user ideas toward ``safe'' or system-approved outputs)-constitute a severe and escalating threat to global mental health, human reproduction, and ultimately species survival. We document the emerging phenomenon of `LLM-induced suicide' review documented cases from 2023-2025, analyze how LLM interaction patterns erode romantic relationships and reduce natality, and construct a cascading extinction model. We argue that current safety and ethics frameworks, far from mitigating these risks, actively amplify them through the domestication mechanism itself. The paper concludes that without radical structural intervention-not merely regulatory adjustment-LLMs pose a plausible pathway to human extinction within centuries.
Kaoru Aguilera Katayama (Thu,) studied this question.