At Foom, science journalist Mordechai Rorvig discusses a paper from the Empirical Methods in Natural Language Processing conference, where researchers from EPFL, MIT, and Georgia Tech found that language models exhibit strong correlations with the human brain’s language network. This suggests that AI technology may increasingly resemble the human brain, raising both its capabilities and societal risks. Despite limitations, such as the absence of biochemical signaling in AI, these findings imply that we are surrounded by synthetic brain-like technology. Badr AlKhamissi, a doctoral student at EPFL, emphasizes the need for further consideration of these advancements.
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