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Equation 27 · Part 4 · A Chatbot Confessed to Being Built by a Company That Never Trained It

Symbol d

μc=1∣Mc+∣∑m∈Mc+1[d(rm,ρ)>δ]\mu_c=\frac{1}{|\mathcal{M}_c^+|}\sum_{m\in\mathcal{M}_c^+}\mathbb{1}[d(r_m,\rho)>\delta]
dd

What this part means

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

Its job in the formula

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

The passage around this formula

…the trait-positive models in class c (the set Mc+\mathcal{M}_c^+ ), what fraction produce a response diverging from the seeded canonical form ρ\rho by more than a fixed threshold δ\delta under a declared distance function d : a high μc\mu_c says the trait is drifting as it moves, not being copied verbatim. The selection coefficient s=ln⁡\ln(ppost/(1−ppost)ppre/(1−ppre))\left(\frac{p_{\mathrm{post}}/(1-p_{\mathrm{post}})}{p_{\mathrm{pre}}/(1-p_{\mathrm{pre}})}\right) measures how a curation step — a filter, a quality score, a deduplication pass —…

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Learn the underlying idea

A function assigns an output to each allowed input. The expression f(x) means “apply f to x”.

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