Can Semantically Typed Operands Make Cognition Local?
A question about KANs opens into a larger architecture: typed semantic state, parallel decisions, local learned functions, cognitive compilation, and governed persistent learning.
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4 connected pages in the public Entif corpus.
A question about KANs opens into a larger architecture: typed semantic state, parallel decisions, local learned functions, cognitive compilation, and governed persistent learning.
Bilqis is Entif AI's experimental research program for testing whether explicit semantic structure can reduce the cost of relational and compositional learning.
A falsifiable research program testing whether an explicit Bilqis-derived semantic substrate can reduce the data, parameter, and compute cost of relational and compositional learning.
Exploring semantic preconditioning, relational calibration, and a falsifiable program for human-referential machine cognition.