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Openai/693d13a2-0638-8007-9b25-4cd446434f52
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==== The model does not treat all repeated characters the same way. Some letter sequences are learned as structural units, others are not. ==== * βllβ and βooβ occur extremely frequently across many word positions and many word types. * β-rryβ occurs far less frequently and is strongly associated with a word-ending morpheme. As a result: * ll / oo β learned as two separate identical characters * rry β learned as a compressed suffix pattern So in heuristic mode: * balloon is internally closer to b a l l o o n * strawberry / cranberry are closer to straw + berry, where βrryβ is chunked This is not phonetic and not auditory. It is distributional compression from training data.
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