Categoria: ARTIFICIAL INTELLIGENCE
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When the Ruler Moves With the System
A changing score does not necessarily mean the system changed. The evaluator may have changed too. Datasets evolve, parsers are corrected, thresholds move, admissibility rules shift, and reporting conventions are revised. Once both the artifact and the evaluator are moving, a numerical difference can be completely real and still fail to tell us what actually…
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The Word “Field” Is Not a Theory
Physics, biology, neuroscience, social science, information theory, computation, and AI all contain field-like descriptions, but the recurrence of one word does not establish one underlying reality. The scientifically interesting question is why field concepts repeatedly become useful when isolated objects can no longer explain distributed order, coupling, persistence, propagation, and coordinated change. This article argues…
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When the Facts Agree but the Decisions Diverge
AI can generate the visible sentences of a book or article, and a detector may try to classify that surface. But the finished text reveals almost nothing about the discarded paths behind it: the questions that were reframed, arguments that were rejected, claims that were narrowed, alternatives that were compared, and the final decision that…
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Before You Add Another AI Agent, Prove You Need One
Before building a team of AI agents, there is a more fundamental architecture question: why should the second agent exist at all? Another capability does not automatically require another autonomous boundary. The same work may belong in a tool, function, instruction, workflow node, or internal role. The stronger test is whether separation preserves something a…