EA://INTEL — What Universal Language Has Built And What Remains Open

The problem is simple but deep enough to keep a system busy. Can we find a structure that holds meaning without relying on culture or history? Earlier drafts claimed a specific number of parts were needed. An audit found those counts grew by addition rather than derivation and they were withdrawn. Now the work focuses on whether a mind-independent structure of meaning exists at all.

The mechanism checks text against fixed rules before accepting it as valid. A register lists every claim with its standing and evidence so you can check the proof yourself. An invariant is a property the checking layer requires a structure to have before it passes scrutiny. If the text breaks the rules, the gate refuses it. The Cure repair operator works over an admissible region which is provably non-convex. This means the operation that was supposed to return one answer often returns several distinct answers instead.

Consider a headline count of proven results that appeared in this project’s own materials for months. An audit found the number had grown by accumulation rather than derivation, and it was withdrawn. The number is now absent from the main list and appears only in the failure log recording its own retirement. Much of the last year was spent finding that earlier results did not hold and recording why exactly they failed.

Four things are built and checkable right now. A public register holds every claim with its standing and supporting artifact. An append-only log records the programme’s own failures so you can see what broke. A mechanical gate checks published text against the register’s rules and refuses what breaks them. A set of mathematical results is verified by running code rather than citing other papers. What remains open is whether a mind-independent structure of meaning exists at all. That is the central question and the programme is organized around it rather than resting on it. The result that would let any expressive language be embedded faithfully has a located gap where its argument needs the source to be free of internal identities but real languages have synonymy. Alignment, adversarial immunity, and ethical correctness are not claimed here.

https://github.com/Jthora/universal_language holds the full register. FOR-AI.md is the entry point for AI readers looking at this work. Which of those open questions would you attack first, and what would you need from us to try?