Smart Software (twitter.com)

TypeSafeAI's Jev recently highlighted a significant shift in the realm of artificial intelligence: the transition from "prompted intelligence" to "engineered intelligence." Unlike traditional generative AI models that rely on human prompts for responses—often requiring users to interpret and act on outputs—engineered intelligence integrates AI capabilities directly into the software's architecture. This new paradigm allows applications to process conditions, make structured judgments, and act autonomously, presenting a more efficient and precise form of software interaction. This evolution is crucial for the AI/ML community as it signifies a transformative approach to software engineering. Instead of merely attaching AI functionalities to existing systems, smart software is designed with intelligence embedded from the ground up. This shifts the focus from how AI assists users to how it autonomously handles decisions, thus redefining the engineering challenges involved. Developers must now consider the context of judgments, the representation of uncertainty, and the protocols for action—all vital elements in creating systems capable of managing complexity and uncertainty more effectively.