Add ?spread=0-1 URL param that controls weight initialization scaling,
RL noise scaling per layer, noise cap, and weight decay to prevent
sigmoid output saturation. At spread=0 (original behavior) weights are
uniform [-1,1] and outputs polarise near 0/1. At spread=1 weights use
Xavier scaling (1/sqrt(fan_in)), noise is proportionally reduced, and
10% weight decay per thumbs-down prevents unbounded magnitude drift.
Also fix randomise to re-inject current joystick position and re-run
inference before routing outputs, eliminating the jump on first
joystick move after randomise.
Defaults: tame=1, spread=0.6 across all app variants.
When switching from synth back to visual mode, the FlowFieldVisualizer
canvas had stale dimensions from being hidden. Add requestAnimationFrame
resize call after toggling canvas visibility so the visualizer picks up
correct dimensions and renders properly.
Three redesigns of the playground UI, each exploring a different
interaction philosophy for the NISPS interactive ML engine:
A) Immersive — fullscreen canvas with floating glassmorphism overlays
B) Workbench — dashboard with 2D mapping heatmap as centerpiece
C) Journey — phased UI that dissolves (Explore → Teach → Perform)
All share the same 126-output MLP ([32,48,64] hidden layers), C15
synth bridge, and flow field visualizer. Each adds:
- SynthVisualizer (126 grouped vertical bars) replacing particles in synth mode
- RL as default learning mode with keyboard shortcuts (1/2)
- Follow mode for trackpad exploration
- ?tame= URL param for safe-range constraining
- localStorage persistence (random on first boot)
- Live iframe previews on designs.html homepage
See devlog/2026-03-21-ui-redesign-explorations.md and meml-2c3 for
remaining refinements identified during browser testing.
