Measurers Without a World: The Human Instrument, the Umwelt Boundary, and Artificial Intelligence

This paper develops one continuous line of argument: mathematics, physics and chemistry are best understood not as a view from nowhere, but as a measurement apparatus whose first and unavoidable sample is the human body and its senses. Within a shared measurement framework, readings are singular and repeatable; the singularity of readings, however, does not entail the singularity of descriptions of the world. The same inquiry that produces certainty about the signal maps the boundary of the perceiver: every species inhabits its own perceptual window, its Umwelt, and differences between windows are differences of position rather than rank. Technology then appears as a lineage of translation devices that convert signals outside any human window into confirmable readings inside one. Language both enables and veils this project; the global dominance of English is a practical accumulation of capability, not evidence of a hierarchy of languages or peoples — a distinction made urgent by the loss of low-resource languages and their exclusion from artificial-intelligence training. The paper's contribution is a reframing of present AI in these terms: machine learning is the first instrument that runs the same mathematics of correlation on a non-living substrate, plugged into no evolved perceptual world. It thereby poses, empirically rather than mystically, the question that closes the paper: can a measurer that inhabits no Umwelt understand the world it measures, or only transform the measurements of those that do?