This is a curated English edition of a legacy Portuguese article originally published on 2025-04-30. It preserves the public argument and editorial intent while avoiding private details, operational state, or unsupported new claims.
Core idea
The article separates two ideas that users often mix: what the model can see in the current context and what a product may persist as longer-term memory.
That distinction matters because many failures are not intelligence failures. They are missing-context failures, stale-memory failures, or unclear-instruction failures.
Editorial note
This translation was prepared during the governed migration of the legacy blog into the GitHub Pages hub. Technical references may age; when the topic involves law, public policy, infrastructure, or model behavior, treat the article as educational context and verify current sources before acting.
Portuguese source article: /blog/a-janela-de-contexto-explicada-como-chatgpt-usa-memoria-de-curto-e-longo-prazo-para-ser-brilhante-2/.