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Despite 78% of the broader literature fixating on human-computer interaction, elite AI conferences disproportionately cite research treating LLMs as synthetic social minds and multi-agent societies.
Language model features can serve as powerful neural predictors during natural speech comprehension, revealing complex interactions between model outputs and brain activity.
