"Revolutionary AI Models Unleash Unforeseen Capabilities"

Large language models (LLMs) have shown emergent behaviors that are unpredictable and difficult to anticipate, making it challenging for researchers to understand their capabilities and limitations. However, recent studies suggest that chain-of-thought prompting could elicit emergent behaviors not identified in previous studies. While some researchers believe that larger models gain new abilities spontaneously, others suggest that what appears to be emergent may instead be the culmination of an internal, statistics-driven process. Emergence reveals both surprising potential and unpredictable risk, and a better understanding of that interplay will help harness the diversity of abilities of language models.