Portable Semantics, Private Dialects: Reuse and Negative Transfer in Latent Communication Between Language-Model Cells

Narcis Marincat (independent researcher) tests whether independently trained societies of language-model cells that communicate through latent packets share one packet language, and finds that they do not, and that an inherited communication interface can hurt later learning.
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Interoperability audit: Across all 30 ordered pairs of six independently trained societies, with a preregistered raw, orthogonal, linear and nonlinear alignment ladder, only one same-initialization pair is fully interoperable. All 26 cross-initialization directions fail at every alignment level.
Failure location: A source-span control places strict zero-shot failure in interpreting and executing the new operator instructions.
Negative transfer: Reinitializing only the packet reader, writer and output head of the globally trained interface raises final depth-three accuracy from 0.169 to 0.857.
Reuse: Inherited interfaces never beat fresh-interface controls by the preregistered 0.10 margin. Conclusions are limited to a 17-state near-transfer setting.
Abstract
In shared-genome language-model societies, restricted evidence visibility favors reusable, value-indexed latent packet interfaces, whereas the sole high-performing globally visible model in the parent study learned an episode-entangled code. This companion study asks whether independently trained societies share one packet language, where strict zero-shot transfer fails, and whether inherited interface state helps or harms later learning. First, a leakage-controlled causal interoperability audit over all 30 ordered pairs of six independently trained restricted societies -- under sealed held-out structure and a preregistered raw/orthogonal/linear/nonlinear alignment ladder -- shows the six semantically similar interfaces do not form one raw language: one same-initialization pair is exactly interoperable in both directions, a second shows asymmetric partial compatibility, and all 26 cross-initialization directions fail every frozen alignment rung. Second, within the tested decomposition and a single sealed source formulation, a source-span control localizes strict zero-shot failure to interpretation and execution of the new operator instructions. Third, in a matched adaptation factorial, the globally trained communication interface acts as a severe negative-transfer prior: reinitializing only the packet reader, writer, and mouth raises final depth-three accuracy from 0.169 to 0.857. Fourth, across two restricted checkpoints and two independently frozen target streams each, inherited interfaces never exceeded fresh-interface controls by the preregistered 0.10 margin. All primary conclusions are bounded to a near-transfer 17-state setting; the negative-transfer factorial concerns one globally visible parent-cohort checkpoint, while an appendix adds a post hoc tagged-global twin case study.