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Equation 20 · The Main Technical Approaches to AI Alignment, Compared

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fw→sf_{w\to s}

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fw→sf_{w\to s}

Symbol f_wto s

fwf_wto s is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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subscript

subscript

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They quantify how much of the gap this recovers with a metric called performance gap recovered, defined by its two boundary conditions: it equals one under perfect weak-to-strong generalization and zero when the weak-to-strong model does no better than the weak supervisor it learned from [ 12 ] . Writing fwf_w for the weak supervisor, fw→sf_{w\to s} for the strong model fine-tuned on the weak model’s labels, and fs→sf_{s\to s} for the strong model fine-tuned on ground truth as an upper-bound ceiling, those two conditions pin down

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