Psychology Today | 09.06.2026 21:57
AI researchers (Tuckute et al., 2024) showed that a GPT-based encoding model could predict, and then deliberately drive or suppress, activation in human language networks —sentences the model rated as surprising and well-formed activated networks strongly, while bland, predictable text left them quiet. This study looked at suppression over a short timespan, but what happens from such suppression of language centers over time?
