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Watch a thought-provoking lecture from Stanford University researcher Laura Gwilliams exploring the intersection of large language models and human cognition in language processing. Delve into groundbreaking research comparing artificial and biological systems of language understanding, examining neural data across multiple scales from MEG and intracranial EEG to individual neuron recordings using Neuropixels probes. Learn how information is processed hierarchically in both time and space to enable complex language comprehension, bridging the gap between sound and meaning. Discover new insights into how modern AI systems parallel and differ from human brain function in language processing, marking a revolutionary approach to studying linguistic implementation in both natural and artificial intelligence systems. The presentation draws from cognitive science, linguistics, and neuroscience to illuminate the algorithmic foundations of language processing in both human and machine systems.
