Large Language Models ↔ Functionalism

Relations (1)

related 0.20 — supporting 2 facts

Large Language Models are evaluated through the lens of functionalism to determine if their pattern-matching capabilities constitute genuine cognitive functions [1] and whether their architecture supports the functional requirements of conscious experience [2].

Facts (2)

Sources

The Functionalist Case for Machine Consciousness: Evidence from ... lesswrong.com LessWrong 2 facts

perspectiveThe objection that Large Language Models are merely pattern matching based on training data is less decisive under functionalism because the method of acquiring functional patterns—whether through evolution, learning, or training—is secondary to the system's ability to perform those functions.

perspectiveUnder the philosophical framework of functionalism, the implementation of consciousness-relevant functions by Large Language Models provides suggestive evidence that these systems possess the functional architecture associated with conscious experience.