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Achiral active matter spontaneously generates reversible nonreciprocity by coupling deformation to rotation, bypassing the need for inherent chirality or external driving.
Current GUI world models often produce visually appealing screens but lack the contextual consistency needed for effective multi-step agent interactions.
Training on synthetically generated data can significantly boost both the diversity and quality of commonsense reasoning in LLMs, outperforming models trained on scarce human-annotated data.