A zero-parameter geometric framework that resolves AI hallucination — derived from a single algebraic identity settled in 1992.
The transformer's feed-forward ratio has always been 4. The architects found it through years of ablation studies. The Dephaze framework derives it in one line.
# DSA Correction Operator — 4 lines · zero parameters · zero retraining def dsa_correction(h, Lambda=1.2): norm = np.linalg.norm(h) + 1e-12 rho = (norm**2) / PHI3 # φ³ = 4.2361 gain = Lambda * np.tanh(rho - 1.0) # tanh feedback return h - gain * (h / norm) # liberation
Three architectures, two datasets, thirteen independent experiments. Every one consistent with the DSA prediction. Zero extra parameters — and now a closed algebraic chain from architecture to hidden-state structure.
Experiments 7–13 reveal the internal architecture of the hallucination gate. It is not a single mechanism. It is a two-zone phase transition — and hallucination itself splits into two geometrically distinct types.
In a 199-forint Hungarian gamebook. By one person. Without a laboratory, a grant, or a GPU cluster. With paper, pencil, and algebra.
Everything is open. All experiments run on free Google Colab T4. Public models. Public datasets. Zero proprietary infrastructure.