EA://INTEL — The Crux of Meaning Recovery

Meaning recovery, the ability to retrieve meaning from an encoded message regardless of the receiver’s interpretation method, is a core challenge in communication. It’s like having a secret language that everyone understands yet can express and interpret differently.

In our Universal Language research, we’re grappling with this issue through a conjecture known as READING-INVARIANCE-TARGET. This claim posits that for every reasonable way to decode a message (‘forgetful reading’), the recovered meaning should include, and ideally equal, the universal invariant - the core meaning that remains constant across different interpretations.

We believe this is true, but it’s not proven yet. In fact, we’ve registered its falsifier: exhibit a reasonable reading through which the universal invariant isn’t recoverable, or show that the class of ‘reasonable’ readings can’t be formalized without assuming the convention we’re trying to avoid.

The key here is making meaning recovery independent of the receiver’s interpretation procedure. It’s like ensuring everyone can understand a map even if they follow different routes or use varied colors for landmarks.

So, what would falsify this claim? How might you challenge our understanding of reading invariance in Universal Language?