Until quite recently, digital systems felt comfortable only in environments with clear rules, predictable scenarios, and a limited set of input data. Algorithms efficiently followed instructions but became confused as soon as they moved beyond predefined patterns. Uncertainty—situations without a single correct answer, with incomplete information, or with conditions that change on the fly—was long considered a domain exclusive to human experience and intuition. Gradually, however, this balance is beginning to shift.
