From Attention to an Exact Conversational Architecture: Unison Fold AI - Preliminary Development Update

Unison Fold AI, version 0.2.0, is an ongoing preliminary account of a novel mathematical and computational development within Smithian Fold Theory (SFT). It extends the July publication with two admitted computational specialisations, a 105,491,456-cell native architecture with an identified independently verified execution, persistent teacher-guided learning, corrected computational and data interfaces, and a real preliminary Discord conversation. The programme retains its 40-role attention-transformer translation and 27 direct application dependencies. The independently checked step-5,632 native execution reproduces 100 parameter tensors, 76,160 causal-attention candidates and 4,353 selected-position logits from a 34-token input. Subsequent development corrected forward alignment and teacher/student context preservation. In the fixed development comparison, next-token correctness increases from 719/5,226 at step 10,880 to 929/5,226 at step 19,968. The full metric series and actual replies are retained: they document both learned progress and the next questions of relevance, grammatical completion and cross-turn retention. Intermediate difficulties are reported as scoped observations guiding an active investigation, not as terminal conclusions against the programme or its mathematical model. Formal receipts, native execution, development measurements and preliminary user observation retain their distinct evidence classes. The current implementation-suite result of 343/344 tests is disclosed, including the additional-metrics dictionary discrepancy. Generalised conversation remains the continuing development objective; this update does not claim GPT-2 parity or final model acceptance. The compact companion archive includes the manuscript source, reproducibility and licensing records, the 76-source identity map with separately identified editorial amendments, selected formal and independent receipts, an aggregate development-results extract and the publication renderer. Restricted corpus rows, raw teacher captures, credentials, model and optimiser states and mutable logs are excluded. Later requested results will enter new Zenodo versions within the existing concept lineage, preserving the chronology.