multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
Shows concretely how well a frontier model and a small local model actually collaborate under a shared-context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → orchestrator, and whether that orchestration beats the local model working alone. That comparison is directly actionable for engineers weighing hybrid cloud/local AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → setups.
Key quotes
“rather than handing it the whole game at once which it would likely thrash on”
“The builder reports milestone one is done. Before assigning the second one, I'm going to verify the claims by reading the code.”
“the builder had correctly implemented a pitch direction despite my instructions containing an error. It followed the real instrument principle over my parenthetical”
“Roughly 30 substantive defects were found across four fixed rounds. None survived to the final build.”
“being able to have them used less frequently to control a cheaper, smaller, but still capable model like this is going to become more and more popular”
