The hype is strongly present in this one. Three quotes: "Powerful code conversion tools based on foundation models can accurately translate legacy codebases (e

The hype is strongly present in this one. Three quotes: "Powerful code conversion tools based on foundation models can accurately translate legacy codebases (e.g., COBOL mainframe apps) into modern programming languages. This automates time-consuming and error-prone manual conversions. "GenAI could analyze traffic patterns, ride requests, and vehicle telemetry data to optimize routing and scheduling for state-managed transportation fleets like buses, waste collection trucks, or maintenance vehicles. By minimizing mileage and unnecessary trips, GenAI could reduce associated fuel use, emissions, and costs." "GenAI analyzes data streams from drones, satellites, and sensors monitoring public infrastructure. It generates detailed damage and deterioration assessments via techniques like visual inspection, anomaly detection, etc. This enables improved forecasting of maintenance needs." What could go wrong? That said, not all is unreasonable: "Using GenAI to help experts convert educational materials into formats like audio books, large print text, or braille documents. Can also generate captions for video materials, and make information more accessible for those with visual, hearing, or learning disabilities." "Leveraging GenAI to help experts translate government websites, public documents, policies, forms, and other materials into the various languages spoken in the State. This expands access to important information and services to non-native English speakers."