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The balanced preset supplies four inputs sixty five, seventy, sixty, and seventy five. Their mean sixty seven point five rounds to sixty eight. The written formulas and chosen philosophical modifiers then produce scores seventy one, sixty eight, seventy five, and seventy two, whose mean rounds to seventy two. At three pixels per rounded score the bars span two hundred four and two hundred sixteen. These are manually assigned inputs and weights, not benchmark evidence or measured intelligence. No tested model is evaluated. A readiness percentage and verdict sentence should be interpreted as this local scenario arithmetic rather than a scientific determination of general intelligence. Keep all four balanced sliders unchanged but select next-token rather than world-model goalpost. The generality modifier changes from plus five to minus fifteen, moving the score from seventy one to fifty one. At three pixels per point the bars span two hundred thirteen and one hundred fifty three. Out-of-distribution score similarly falls from seventy two to forty seven, reflection stays sixty eight, and economy seventy five. Overall rounds to sixty rather than seventy two. This causal link comes from hand-written philosophical category weights, not an observation that choosing a label changes an actual model. Consciousness, comprehension, embodiment, or recursive thinking is not established by a selector. The optimistic preset supplies higher scores and loop plus grounded modifiers. Clamping produces one hundred, one hundred, ninety two, and one hundred, averaging ninety eight. At three pixels per overall point the balanced and optimistic bars span two hundred sixteen and two hundred ninety four. Crossing eighty chooses the AGI-met verdict string, while fifty five selects the intermediate label. Those thresholds are implementation choices without an empirical definition test. The canvas radar draws these same assigned numbers and JSON exports state and captions. Actual browser controls can prove this arithmetic and preservation, but they do not prove an external model reached AGI, current research claims, exhaustive functional coverage, or public completion.