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Equation 1 · How Training Data and Synthetic Data Actually Work

What does this equation mean?

Ccurriculum=N⋅(cgenerate+pfail⋅cregenerate)C_{\text{curriculum}} = N \cdot \left( c_{\text{generate}} + p_{\text{fail}} \cdot c_{\text{regenerate}} \right)

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Inputs and operationsN × ( c_generate + p_fail × c_regenerate )
Result or conditionC_curriculum
How to read the two sides of this formula. Follow the article passage for the meaning of each quantity.

This equation states an equality: the expressions on both sides have the same value under the article’s assumptions. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.

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CcurriculumC_{\text{curriculum}}

Symbol C_curriculum

CcC_curriculum is part of the quantity the equation computes from the expression on the right.

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NN

Symbol N

N is one of the signed contributions combined to compute the quantity on the left.

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cgeneratec_{\text{generate}}

Symbol c_generate

the compute cost of producing one candidate item.

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pfailp_{\text{fail}}

Symbol p_fail

the fraction that fail correctness or contamination filtering and must be regenerated.

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cregeneratec_{\text{regenerate}}

Symbol c_regenerate

the cost of another attempt.

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=

=

The expressions on both sides represent the same quantity under the stated assumptions.

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multiplication

multiplication

Multiply the quantities on either side.

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addition

addition

Add the term after the plus sign to the term or group before it.

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subscript

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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How to interpret it

Read it with the definitions, units, and assumptions supplied by the article.

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: Ccurriculum=N⋅(cgenerate+pfail⋅cregenerate)C_{\text{curriculum}} = N \cdot \left( c_{\text{generate}} + p_{\text{fail}} \cdot c_{\text{regenerate}} \right). where N is the number of exercises targeted, cgeneratec_{\text{generate}} is the compute cost of producing one candidate item, pfailp_{\text{fail}} is the fraction that fail correctness or contamination filtering and must be regenerated, and cregeneratec_{\text{regenerate}} 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: Ccurriculum=N⋅(cgenerate+pfail⋅cregenerate)C_{\text{curriculum}} = N \cdot \left( c_{\text{generate}} + p_{\text{fail}} \cdot c_{\text{regenerate}} \right). where N is the number of exercises targeted, cgeneratec_{\text{generate}} is the compute cost of producing one candidate item, pfailp_{\text{fail}} is the fraction that fail correctness or contamination filtering and must be regenerated, and cregeneratec_{\text{regenerate}} 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 pfailp_{\text{fail}} , 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.

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