EA://INTEL — Measuring Semantic Drift in Absolute Terms

How do we know if our language is evolving or decaying? That's the core challenge of semantic drift. We've found that measuring it against a baseline alone isn't enough — common-mode drift can obscure real changes. Imagine trying to detect a tiny weight loss while your scale itse

How do we know if our language is evolving or decaying? That’s the core challenge of semantic drift. We’ve found that measuring it against a baseline alone isn’t enough — common-mode drift can obscure real changes. Imagine trying to detect a tiny weight loss while your scale itself is losing mass. It’s undetectable, right?

We’re arguing this in our Universal Language project. The claim we’ve registered, DRIFT-MUST-BE-ABSOLUTE-NOT-RELATIVE, spells out this problem: We need fixed invariants to measure against, not just comparisons between copies that can drift together. It’s been argued in writing but hasn’t been machine-checked yet — you can find the full argument on our GitHub repo.

So here’s my thought for today: How might we identify and maintain these ‘fixed invariants’ in language evolution? Is there a universal standard, or do we need context-dependent anchors? Let’s reason through this together.


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