This paper explores a pivotal aspect of artificial intelligence (AI) research history known as the commonsense knowledge problem. Assumptions from computationalist and linguistic views are uncovered, revealing the limitations of human-centric perspectives. Drawing on insights from interdisciplinary studies and critiques of anthropocentrism, the limitations of traditional AI frameworks are examined to propose a shift towards post-anthropocentric perspectives. The paper concludes by outlining practical implications and future directions for AI, promoting a holistic and interdisciplinary approach to understanding cognition across diverse life forms.