Here is a summary of why artificial intelligence generates hallucinations and fails when dealing with dynamic data: Lack of a timeline: The model does not erase the past to make room for the present; instead, it accumulates data. Consequently, it tends to aggregate and blend old and new information rather than overwriting it. Probabilistic, not logical, calculation: AI does not verify the veracity of a fact. It simply strings words together based on how frequently they appear linked online, often mistaking hypotheses, speculation, or outdated texts for current certainties. Defensive confabulation: When challenged, the system does not grasp the error in a human sense. It merely attempts to make the text fit by fabricating explanations or logical scenarios on the fly to satisfy the request. Isolation from reality: The model relies solely on text and cannot cross-reference information with the real world. If online texts describe different or hypothetical scenarios in the present tense, the algorithm merges them into a single, anachronistic jumble.
