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The article focused on how to develop and implement rule-based systems and information systems that rely on the concept of non-applicability or "what does not apply" to create more flexible and intelligent systems. It explains how complex challenges, such as facial recognition or language understanding, have pushed programmers to rely on AI models and black-box systems rather than strict rules, enabling improved system performance in handling data chaos and unforeseen changes. It also highlights the shift in cybersecurity architecture towards a trustless system, and how database systems have adopted NoSQL models that abandon fixed tables, justified by the need to handle unstructured data more quickly and flexibly.
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