Retrieval (RAG)
The workaround the industry lived on while context was short. Now a complement rather than a crutch.
A model can now hold a whole book, an entire codebase or an hour of video in front of it — instead of a couple of pages.
A million tokens stopped being a demo and became a working mode. The model holds a whole project in mind, not a single file.
The workaround the industry lived on while context was short. Now a complement rather than a crutch.
A million tokens in production — a whole book or an hour of video fits inside.
Coding systems read the whole project.
One-twentieth the compute per token, 9× prefill and 15× decode on million-token context.
Long context fits, but attention to its middle sags: the model recalls the start and the end better than what lies between.
Context resets with every new conversation. Memory that lives for years without growing forever is a separate unsolved problem.