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Modern AI does not read a sentence left to right the way a person does. It uses a mechanism called attention: each word gets compared against every other word in the sentence and assigns each one a weight, a rough score of how relevant it is right now. That is how a model can handle a pronoun like it and correctly connect it back to a noun three clauses earlier, or catch that a word means something different depending on what surrounds it. A chatbot can handle a sentence because each word can attend to other words and assign relevance. That attention pattern helps the system track context, references, and relationships without reading in the human sense at all. It is closer to a very fast, very literal weighing process than to comprehension, which is worth remembering when an answer sounds fluent but the underlying reasoning does not hold up.
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Behavioral science
How attention, memory, and judgment shape everyday choices.
Decision research
What helps people compare options, notice tradeoffs, and avoid weak evidence.
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You can explain attention as words weighing the relevance of other words in context.
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