- Glass-style modal explains NISPS, how learning works, and what to expect
- Documents all controls: touch, keyboard, and gamepad bindings
- Shows automatically on first visit (localStorage flag)
- Dismissible via close button, "Got it", overlay click, or Escape
- Reopenable via ? button at bottom right
- Map A=Train, B=Clear Examples, X=Randomize, LB=Thumbs Down, RB=Thumbs Up
- Add periodic gamepad polling fallback for environments where
gamepadconnected event doesn't fire reliably (Steam Deck, some Linux browsers)
- Show "Press any gamepad button to connect" hint on page load
When synth controls (volume, tempo, etc.) have focus after dragging,
keyboard shortcuts 1/2 for thumbs down/up were intercepted by the
range input. Now all four UIs skip shortcut handling when an input,
select, or textarea element has focus.
Relocated the output mode toggle from a floating top-right position into
the bottom floating bar where it's more discoverable. Removed the
duplicate toggle from the expanded sheet. Compact pill-toggle-sm style
fits the toolbar layout.
Merge Examples/RL tabs into single unified toolbar across all four UIs.
Users can now freely mix supervised learning (Add Example + Train) with
RL feedback (thumbs up/down) without switching modes. Param bar dragging
is always enabled.
Add Web MIDI input module (js/synth/midi-input.js) for external MIDI
controllers — routes note on/off to C15 synth, CC 1/2 to joystick.
Add gamepad module (js/ui/gamepad.js) with auto-detection, deadzone,
and axis normalization across all UIs.
Fix synth parameter sync: routeOutputs() now called after trainModel()
in onThumbsUp and loadState to prevent stale params on first joystick
move. Add separate Clear Examples button (dataset only, keeps weights).
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.
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.
