What Do Large Language Models Know About Place?
LLMs encode an implicit geography of human experience — and understanding its limits matters for anyone building location-aware AI applications
When you ask an LLM to describe Nottingham, it does not retrieve a database record. It draws on a statistical distillation of everything written about Nottingham by people who have been there, lived there, passed through, or read about it. That is an unusual kind of geographical knowledge — rich, associative, and deeply human, but also skewed, incomplete, and geographically uneven.
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Streaming LLM API Responses in Python: A Complete Production Guide
Handle token-by-token output, implement back-pressure, manage rate limits, and build fault-tolerant wrappers around OpenAI-compatible APIs
Streaming is the difference between an AI product that feels fast and one that feels slow. Instead of waiting 10–30 seconds for a completed response, a streaming API delivers each token as it is generated. This post covers the full picture: HTTP server-sent events, Python async generators, rate limit handling, and building a robust wrapper you can drop into a production application.
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