Amjith Ramanujam provides a very thorough tutorial on implementing vector similarity search using SentenceTransformers (all-MiniLM-L6-v2) embeddings run using sqlite-utils, then served via datasette-sqlite-vss and deployed using Fly.
He notes that one simulated test saw an AI-enabled drone tasked with a SEAD mission to identify and destroy SAM sites, with the final go/no go given by the human. However, having been ‘reinforced’ in training that destruction of the SAM was the preferred option, the AI then decided that ‘no-go’ decisions from the human were interfering with its higher mission – killing SAMs – and then attacked the operator in the simulation.
[UPDATE: This turned out to be a "thought experiment" intentionally designed to illustrate how these things could go wrong.]
— Highlights from the RAeS Future Combat Air & Space Capabilities Summit
If I were an AI sommelier I would say that gpt-3.5-turbo is smooth and agreeable with a long finish, though perhaps lacking depth. text-davinci-003 is spicy and tight, sophisticated even.