How Much Do AI Models Resemble a Brain?

A recent paper presented at a natural language processing conference investigates the similarities between language models and the human brain. Researchers from EPFL, MIT, and Georgia Tech found strong signal correlations between AI language models and the brain's language processing regions. This research confirms the emerging idea that AI models resemble large-scale brain regions in function and signal patterns. These findings allow scientists to create better models of cortical regions, potentially leading to a deeper understanding of the brain. The AI-brain resemblance validates the capabilities of AI while raising concerns about its societal risks as brain-like technology. The study highlights the need for more in-depth discussion about the evolving nature of AI and its connections to brain function. There are limitations in comparing AI to the brain, such as the absence of biochemical signaling in AI models. Despite the limitations, the study suggests that we are surrounded by synthetic brain technology. This technology may possess similar components to the human brain, which is both exciting and potentially dangerous. The findings suggest that AI is constantly improving, likely increasing its resemblance to the brain. This research is a pivotal step in understanding AI, prompting new questions about its nature.