The same integer-counting move can be exact while the value register changes from hand-enumerated toy cells to captured-scale cells.

highlighted = computed this step

The toy side is enumerable

A toy table with 4 rows and 2 features has 8 cells. Those cells can be listed, inspected, and recomputed by hand.

4×2=84\times2=8
Toy Cells vs Captured CellsExact toy table count and captured-scale register boundary.why toys cannot scalesourcerowsfeaturesrows*featuresvalue registertoy table428exact shown cellscaptured-scale table1000000768768000000captured/named cellstoy cells exact; captured-scale cells named, not hand-recomputedtoy-method boundary; exact toy table countcaptured-scale cells are named, not hand-recomputedNOT training; NOT learning; NOT generalization; NOT scaling proofNOT accuracy; NOT calibration; NOT probability truthNOT model quality; NOT real training cost

The larger side changes register

The captured-scale row has 1000000 rows and 768 features, so the count is 768000000. The count is exact; the values are named as captured cells, not hand-recomputed one by one.

1000000×768=7680000001000000\times768=768000000
Toy Cells vs Captured CellsExact toy table count and captured-scale register boundary.why toys cannot scalesourcerowsfeaturesrows*featuresvalue registertoy table428exact shown cellscaptured-scale table1000000768768000000captured/named cellstoy cells exact; captured-scale cells named, not hand-recomputedtoy-method boundary; exact toy table countcaptured-scale cells are named, not hand-recomputedNOT training; NOT learning; NOT generalization; NOT scaling proofNOT accuracy; NOT calibration; NOT probability truthNOT model quality; NOT real training cost

What this comparison says

This is the toy-method boundary. It is NOT training, NOT learning, NOT generalization, NOT a scaling proof, NOT accuracy, NOT calibration, NOT probability truth, NOT model quality, and NOT real training cost.

toy exact cellscaptured/named cells\text{toy exact cells}\rightarrow\text{captured/named cells}
Toy Cells vs Captured CellsExact toy table count and captured-scale register boundary.why toys cannot scalesourcerowsfeaturesrows*featuresvalue registertoy table428exact shown cellscaptured-scale table1000000768768000000captured/named cellstoy cells exact; captured-scale cells named, not hand-recomputedtoy-method boundary; exact toy table countcaptured-scale cells are named, not hand-recomputedNOT training; NOT learning; NOT generalization; NOT scaling proofNOT accuracy; NOT calibration; NOT probability truthNOT model quality; NOT real training cost