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Pebble-1 is a 2-parameter binary decision model that achieves remarkable inference efficiency on yes/no question-answering tasks. By distilling the essence of language understanding down to a single neuron, Pebble-1 challenges fundamental assumptions about the relationship between model scale and capability.