Emergent Computation

Emergent computation investigates how complex computational capabilities arise unexpectedly from simpler interactions within artificial neural networks and potentially biological systems. Current research focuses on understanding how these emergent properties manifest in large language models and other deep learning architectures, often analyzing the internal representations and training dynamics to explain phenomena like "grokking" and scaling laws. This field is crucial for advancing artificial intelligence, providing insights into the fundamental principles of computation and potentially illuminating the mechanisms underlying intelligence in both artificial and natural systems.