Equation 1 · How Training Data and Synthetic Data Actually Work
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Symbol C_curriculum
urriculum is part of the quantity the equation computes from the expression on the right.
Symbol N
N is one of the signed contributions combined to compute the quantity on the left.
Symbol p_fail
the fraction that fail correctness or contamination filtering and must be regenerated.
=
The expressions on both sides represent the same quantity under the stated assumptions.
See an illustrated explanation →subscript
The lower label selects a particular version, component, or indexed member of the quantity. For example, x₀ and xₜ can be values at different positions.
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What the article says around this equation
If the curriculum has a rough per-item cost of generation and validation, a useful way to reason about scale is a simple accounting identity rather than a law of nature: . where N is the number of exercises targeted, is the compute cost of producing one candidate item, is the fraction that fail correctness or contamination filtering and must be regenerated, and is the cost of another attempt. This is not drawn from a specific paper’s disclosed cost model — none of the sources here publish exact figures — it is included only because it makes explicit an assumption that is easy to gloss over in prose: a synthetic…
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If the curriculum has a rough per-item cost of generation and validation, a useful way to reason about scale is a simple accounting identity rather than a law of nature: . where N is the number of exercises targeted, is the compute cost of producing one candidate item, is the fraction that fail correctness or contamination filtering and must be regenerated, and is the cost of another attempt. This is not drawn from a specific paper’s disclosed cost model — none of the sources here publish exact figures — it is included only because it makes explicit an assumption that is easy to gloss over in prose: a synthetic curriculum’s real cost is dominated by , the rejection rate, not by the sticker price of one generation call, which is why validation pipelines rather than generation prompts are where most of the engineering effort in these projects actually goes.
Sources cited in the article section
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