Can artificial intelligence truly process language like the human brain? In this fascinating deep dive, we explore groundbreaking research that reveals surprising parallels between large language models (LLMs) and our own neural language networks. From their innate ability to align with human syntax—even before training—to the ways they diverge as they scale, we dissect what it means for AI to be "brain-like."

Join us as we discuss the hidden mechanisms behind LLMs, the role of multimodal learning in making AI more human-like, and the ethical questions surrounding these advancements. Could studying AI actually unlock deeper insights into human intelligence? And are we unknowingly paving the way for AI that thinks more like us? Tune in to uncover the future of language, cognition, and artificial intelligence.

Read more: https://arxiv.org/abs/2503.01830