Faster Than the Machine, Not Less Than Human

When a tool surpasses human performance at a task, what changes about the value of doing that task ourselves? This paper distinguishes the practical value of completing a task from the value people find in developing competence, connecting with others, achieving a physical goal, or deepening scientific understanding. It compares cars and marathons, Deep Blue and Garry Kasparov, and AI-assisted mathematics in the context of Terence Tao’s Mathematics 2.0. Further examples include calculators, cameras, microscopes, writing assistants, scientific prediction tools, and robotics. Drawing on self-determination theory, identity threat, cognitive dissonance, group processes, and the Scretching Digital Relativity Psychology (DRP) and Digital Relativity Linguistics (DRL) frameworks, the paper proposes measurable hypotheses and a non-diagnostic research design. IBM records and peer-reviewed studies support selected historical and empirical claims. The proposed DRP and DRL extensions remain hypotheses about how people interpret technological advances and reassess the value of their own participation [1–5, 11–16].