If meaning resides in human perception, does the specific underlying logic of an AI actually influence the creation of meaning?
The distinction is far from academic. While a human might derive profound meaning from a poem regardless of how it was drafted, the architecture determines the quality and nature of the signal being received. A transformer model operates on statistical probabilities, predicting the next token based on massive datasets. This often produces a surface-level coherence that mimics human nuance. A symbolic planner, conversely, relies on explicit rules and logic. One feels like a dream; the other feels like a mathematical proof.
The architecture shapes the
