Philosophy technology

Human-like Thought in AI?

AI systems approximating human thought? It seems to me that we are quite a long way from comprehensively understanding what human thought actually is, let alone successfully simulating it.

Context: AI news – Oxford University scientists synthesise human-like thoughts in machines

Fascinating developments. Notice that the key defining feature here is that of the procedurally iterative, simulated replication of thought, that is – of the replication of an ordered, patterned system of cognitive (or conceptual) information abstraction and representation. So, while we can all be variously amazed or, indeed, progressively desensitised to the unfurling wonders of techno-cognitive evolution, the central process and logical function is that of the refinement of representational abstraction itself.

What appears most curious about (all of) these emerging autonomous technologies is that, much like the iterative refinement that informs and propels the progressive biological refinement of algorithmically optimal problem-solving heuristics that we might recognise or identify as expressed in individual or collective (collaborative) intelligence, there is no single, unified and overarching guiding principle to the integrated, distributed, gestalt systems of academic research. A logical, systemic unity is conspicuous by its absence and the extent this reflects back into aspirations towards recursively bootstrapping axiomatic logical mechanisms of self-propagating AGI is an implicit subtext here.

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