Tagged history of AI · show all articles
Before a single model could read an image and write about it, two research communities spent a decade building separate pieces that had to be joined by hand. This is the record of each join.
Retrieval-augmented generation is usually dated to one 2020 paper. Its lineage is older: 1990s sparse ranking, retrieve-then-read question answering, dense encoders, and now retrieval that decides for itself when to search again.
Today's Codex is not a continuously scaled 2021 model; it emerged from a sequence of shifts in synthesis, language modeling, evaluation, tools, execution, and human–agent interfaces.