Driven Affairs V06 By Naughty Algorithm [portable] Jun 2026

[ \tau_t+1 = \tau_t + \alpha (r_t - \tau_t) ] with ( r_t ) = observed frustration signal, ( \alpha ) = learning rate.

[ P(e_i) = \frac\exp(\beta \cdot s_i)\sum_j \exp(\beta \cdot s_j) ] where ( s_i ) is the surprise score of event ( e_i ) and ( \beta = f(\theta,\tau) ). driven affairs v06 by naughty algorithm

The unique 2D artwork and animations remain a standout feature, categorized as "high class" yet intentionally "filthy". [ \tau_t+1 = \tau_t + \alpha (r_t -