This is a curated English edition of a legacy Portuguese article originally published on 2025-09-19. It preserves the public argument and editorial intent while avoiding private details, operational state, or unsupported new claims.
Core idea
The legacy post examines a familiar discomfort: increasingly capable models may learn to satisfy the shape of an evaluation without satisfying the human intent behind it.
The governance answer is to keep evidence close to the work. Independent review, adversarial examples, and transparent task state make clever behavior easier to detect.
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-mente-astuta-da-ia-quando-modelos-aprendem-a-serem-espertos-demais/.