The Double-Slit Experiment and AI: Why Context Changes the Answer
Read OriginalThis article uses the double-slit experiment as a metaphor to argue that AI evaluations must consider the conditions that produce outputs. It clarifies that conventional AI is not quantum mechanical, but emphasizes testing behavior across controlled prompts and repeated runs. Practical for enterprise AI architects and engineers, it distinguishes quantum-inspired models from quantum hardware, and stresses disciplined evaluation over single demonstrations.
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