Bithkuil
Bithkuil is Entif AI's experimental research program for testing whether explicit semantic structure can reduce the cost of relational and compositional learning.
Tags
4 connected pages in the public Entif corpus.
Bithkuil 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 Bithkuil-derived semantic substrate can reduce the data, parameter, and compute cost of relational and compositional learning.
How Entif uses governed human-AI review to absorb new evidence early, revise research quickly, and improve experiments before execution.
Exploring semantic preconditioning, relational calibration, and a falsifiable program for human-referential machine cognition.