The generative GAN Algorithm is synced to an audio file to which it matches the ongoing morphing moving image based on a dataset of explosions, smokes and clouds. Public justification, political rhetoric and weak arguments echo into dust, fire and ash in a direct visual allegory. An audio loop plays an out-take from an interview with Sergey Lavrov. Russia’s foreign minister, as he expresses justification for how Russia’s nuclear intentions have been taken out of context and misunderstood.

Computational action unveils the words of politicians as fractions of destructive glimpses: a spectator is presented with morphing fire, wreaking havoc across the screens’ surface moving to the audio wave of PMs speech. In which the blatant words and grievous sentences appear as bombs and explosives.