b290144 made matrix cells opt-in to prevent joystick-silences-voice,
but that broke modular-ui.updateLive(): the matrix DOM stopped
reflecting live MLP outputs because matrixIndexCache was empty when
buildMatrixIndex() walked paramMeta. This was the same regression
6072fe8 had previously fixed.
Fix it structurally at the DSP layer instead: amp_val now computes
as `clamp(base_amp + max(0, mod_amp)) * level * vel_gain`, so matrix
d08_amp cells can only boost the amp floor — never cut it. base_amp
defaults to 1.0 (always audible), and presets that want classic
envelope-gated voices (slow pad, plucky bass, crystal, morphing
drone) drop base_amp to 0 and layer a positive ADSR→amp route on top.
With the DSP guard in place, all 480 matrix cells can safely live
in paramMeta again, and updateLive() gets its live visual feedback
back. Revert the opt-in gate in _rebuildParamMeta and the 32-param
test counts, and add a regression test asserting that every matrix
destination has 48 cells in paramMeta — that's what updateLive needs.
cd playground
python3 -m http.server
# Open http://localhost:8000
Train a neural network to map joystick positions to generative visuals through interactive machine learning. Two learning modes: direct example mapping and reinforcement learning with thumbs up/down feedback.
The playground UI includes an Expand toggle on the visual surface so you can make the canvas nearly full-screen while compressing parameter/control panels into a minimal strip beneath it.
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