3 claims in “philosophy of mind, artificial intelligence”
Intelligence is not easily definable but is recognizable through collaborative problem-solving where neither party initially knows the solution, ideas are tested and modified iteratively through discussion, and the process involves building cumulative partial progress and adaptively improving strategies based on what doesn't work.
All intelligence is fundamentally search over Turing machines, and anything that happens can be described by Turing machines of various lengths; learning and scaling involve searching over more and longer Turing machines and applying them to specific cases.
Large language models are not committed to a single answer when playing the 20 questions game; rather, all possible answers consistent with previous responses exist in superposition until the model is forced to collapse that distribution by being asked directly what the answer is, which fundamentally differs from how human consciousness works where we have already committed to an object in mind.