Matt Franchi

An LLM-based Urban AI Risks (UAIR) assessment pipeline for extracting, verifying, and classifying risk information about AI use cases from large-scale news article collections.

New York City is a large place; almost 469 square miles of pretty dense civilization.

I investigate the extent to which 3 and 4 letter combinations are populated by online search results, in an attempt to find underutilized words (or, at least, pronounceable letter combinations.)

My favorite sonic finds from the fall of 2023.

I do some exploratory work on how artificial intelligence model training data may be crafted using inpainting with generative AI models.