Gašper Beguš

Gašper Beguš, an Associate Professor of Linguistics at UC Berkeley who studies interpretable AI and interdisciplinary language science. He explores whether whale songs and trained animals show language-like features. He discusses cultural transmission, recursion, and what AI reveals about language learning. Short, provocative takes on how humans and machines acquire communicative systems.

Gašper Beguš, director of the Berkeley Speech and Computation Lab, discusses training AI assistants with comprehensive data, the need for AI regulation, advancements in image and video generation, and the parallel between activation nodes in cognitive psychology and neural nets.