← All parts of this equation

Equation 2 · Part 1 · How to Actually Compare Frontier AI Models Without Building a Misleading Leaderboard

Symbol θ

θ\theta
θ\theta

What this part means

the function of the weights.

Its job in the formula

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

Where the article explains it

It is closer to s = g(θ\theta, H\mathcal{H}, T, k, P\mathcal{P}, t) + ε\varepsilon, a function of the weights θ\theta , the harness H\mathcal{H} , the sampling temperature T , the number of samples k and how they are aggregated, the prompt template P\mathcal{P} , the date t a snapshot was queried, plus sampling noise ε\varepsilon .

The passage around this formula

Formally, an observed score s is not a property of a model θ\theta alone. It is closer to

Read this part in the article →

Learn the underlying idea

A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.

Open the illustrated variables: a letter stands for a value guide →

See this notation across published equations →

Sources cited in the article section

These citations provide research context; check each source for the exact claim it supports.