Artificial Intelligence

    

Not All Weights Are Equal

Authors: Benjamin Cowherd

We test whether a dedicated ternary-weight reasoning component outperforms a homogeneous MLP baseline on multi-step logic problems requiring generalization to unseen entities. In two runs, the reasoning component outperformed the baseline by 12.2% and 19.6% respectively, while the baseline overfit and stalled. We propose a full architecture built on this result, with separate components for reasoning and language.

Comments: 9 Pages. github.com/orbits64/project-synapse

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[v1] 2026-03-05 18:17:50

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