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The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

Spatially and temporally overlapping target and distractor are both rhythmically sampled at ~1 Hz, and the phase relationship between target sampling and distractor sampling predicts behavior.