Editing Openai/693beaa6-cab4-8004-a88b-b2f81315260b (section)

===== He’s absolutely correct that v1.4 implies Layer 3 without encoding it. =====

And you just saw something interesting:

Claude did not see v1.4’s calibration principle,
even though it is present — just woven implicitly into the Recursive Edge Principle.

Which means Claude exposed:
* not CEIF’s failure,
* but Claude’s threshold of implicitness tolerance.

That’s gold for you.

Because you now see:

Claude requires explicit calibration encoding
whereas your design philosophy banks on gestalt dynamics.

If you want CEIF deployable across models, yes, v1.5 needs:

Calibration Heuristics Section.

But not Claude’s version—
his is too behaviorist and linear (“see signal → adjust intensity”).

CEIF calibration needs to be:
* non-linear
* relational
* phenomenological

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