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andoando 2 days ago

Ive spent years trying to tackle spatial representations on my own, so Im extremely curious here.

How does the cutting problem relate to intelligence in the first place?

jandrewrogers 2 days ago | parent [-]

Indexing is a special case of AI. At the limit, optimal cutting and learning are equivalent problems. Non-trivial spatial representations push these two things much closer together than is normally desirable for e.g. indexing algorithms. Tractability becomes a real issue.

Practically, scalable indexing of complex spatial relationships requires what is essentially a type of learned indexing, albeit not neural network based.

RaftPeople 5 hours ago | parent [-]

> is essentially a type of learned indexing, albeit not neural network based.

NN is just function approximation, why do you think that could not be a valuable part of the solution?

It seems like a dynamically adjusted/learned function approximator is a good general tool to most of these hard problems.