Large language models offer new opportunities for data analysis. With access to previously off-limits data such as knowledge bases and email threads, numerical information can now be put into context. Language models can be utilized as calculators on language, allowing for the combination of metadata from various sources and output from numerical models. This enables the merging of data in ways that were previously impossible, leading to the emergence of new intelligence. However, accuracy remains a challenge, and efforts are underway to ensure correctness. By combining stack traces with the program state, precise answers can be obtained from language models in most cases. The magic of these models lies in their combination with other data sources and traditional numerical models, bringing valuable insights to users.

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