Transformers solve these using attention (for alignment), MLPs (for arithmetic), and autoregressive generation (for carry propagation). The question is how small the architecture can be while still implementing all three.
Single-character pairs only. Multi-character confusables (rn vs m, cl vs d) are outside scope. These are a known gap in confusables.txt itself.
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Developers losing their ability to distribute apps across all channels due to a single un-reviewable corporate decision
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