Generating Bad Apple autonomously from a single initial state using a tiny recurrent dynamical system (417k params) [P]

Excerpt

A few weeks ago, I saw this post where the author trained a SIREN MLP to implicitly memorize Bad Apple as a coordinate function: (t, y, x) to pixel. That got me curious about a slightly different formulation: instead of handing the network a timestamp t , could a small recurrent dynamical system (RNN-ish) learn the continuous temporal flow in latent space and generate the entire ~6,500-frame full resolution video autonomously from a single initial condition (h_0, c_0)? The code, weights, and ana