A few short explainers of the core idea: a control is just a number; a network in the middle turns a few input numbers into many output numbers; and your thumbs-up/down shapes that mapping live.
Drag the knob. The number is the knob — one value in [0,1]. Every control in Manifold is, underneath, exactly this.
A knob rotates while a paired 0–1 number rises and falls in lockstep — a control is a readout of one number.
Move the dot. The pad projects to two independent values A (X) and B (Y). Two inputs — the smallest manifold.
A 2-D pad projects to two independent 0–1 values, each shown as a slider, as the dot moves.
The same 2-D control driving 3 → 4 → 5 outputs, then the control type cycled across knob, fader, touchpad, and 2-D / 3-D joysticks. A few input dimensions map to many outputs through the learned mapping.
Training on the mapping surface, and how a verdict reshapes it — contrasting the two feedback modes: geometric push-away (directed repulsion from what you like) versus explore-and-place (randomise → audition → place → interpolate, the recommended default).