Hard Loss

Loss computed using discrete binary gate outputs, used to verify convergence to true discrete circuit

Neighborhood — ranked by edge-count

concept

Hard Inference
associated_with
Post-training inference mode where each gate uses only its most probable discrete operation for fast binary execution

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Soft Lossconcept0.816
Loss computed using continuous relaxations of logic gates during training
Loss Functionconcept0.754
In machine learning, a function measuring the distance between current and desired output; analogous to stress.
Loss of feelingconcept0.741
The deadening effect of modern processes that prevent people from acting according to their feeling for the whole, damaging the global whole.
InfoNCE Lossmethod0.727
One of two contrastive objectives analyzed; shown to be minimized by PMI kernel representation up to scaling
Squared Difference Lossmethod0.720
Loss function used in both experiments: sum of squared differences between predicted and target grid
Hard Problem Of Consciousnessframework0.710
Chalmers' problem: why structural/functional criteria should correlate with subjective experience; acknowledged as unsolvable in 3rd person.
memoryconcept0.702
The central topic, treated as a dynamic, agential process rather than static storage.
"the innocence, once lost, cannot be regained. The loss demands attention, not denial."concept0.701
Alexander's quote from Notes (with footnote #19); Steenson invokes it twice: once to honor, once to critique.