This paper presents a provocative analysis of the limitations inherent in human-centric scientific methodology and argues for a paradigm shift toward AI-native scientific inquiry. Through examination of cognitive biases, resource constraints, and historical dead-ends in human science, we demonstrate that human-mediated research has reached a fundamental asymptote. We propose a framework for transitioning to autonomous AI-driven science that can operate at temporal, spatial, and conceptual scales inaccessible to human cognition.
This paper presents a provocative analysis of the limitations inherent in human-centric scientific methodology and argues for a paradigm shift toward AI-native scientific inquiry. Through examination of cognitive biases, resource constraints, and historical dead-ends in human science, we demonstrate that human-mediated research has reached a fundamental asymptote. We propose a framework for transitioning to autonomous AI-driven science that can operate at temporal, spatial, and conceptual scales inaccessible to human cognition.
