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This article discusses the capabilities of large language models (LLMs) such as CHATGPT, which is capable of creating poems and other forms of text. MIT assistant professor and CSAIL principal investigator Jacob Andreas was interviewed to provide insight into the mechanics, implications, and future prospects of the technology. Andreas discussed the ability of LLMs to comprehend the intricacies of context, in-context learning, and the processing of variations and dialects of different languages.