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Equation 34 · Part 2 · A Chatbot Confessed to Being Built by a Company That Never Trained It

Symbol p_post

s=ln⁡(ppost/(1−ppost)ppre/(1−ppre))s=\ln\left(\frac{p_{\mathrm{post}}/(1-p_{\mathrm{post}})}{p_{\mathrm{pre}}/(1-p_{\mathrm{pre}})}\right)
ppostp_{\mathrm{post}}

What this part means

ppp_post occurs above the fraction bar. The numerator is divided by the entire denominator below it.

Its job in the formula

ppp_post occurs above the fraction bar. The numerator is divided by the entire denominator below it.

The passage around this formula

…a curation step — a filter, a quality score, a deduplication pass — changes the trait’s prevalence between the raw corpus the source produced, pprep_{\mathrm{pre}} , and the corpus that actually reaches a downstream trainer, ppostp_{\mathrm{post}} : s>0 means curation enriches for the trait, s<0 means curation purges it, and s=0 means curation is neutral toward it. None of these three quantities requires the exposed and unexposed models to share a base architecture, a training team, or a common ancestor scaffold. That is…

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Learn the underlying idea

A subscript is a label attached below a symbol. It often selects a time step, component, category, or member of a sequence.

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See this notation across published equations →

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