0d1a2102eb
Playground archived at branch archive/playground-solidjs (tag playground-solidjs-final) and deleted from main. Retargets: - run-all-tests.sh stage 5 → manifold (typecheck + bun test + build + playwright via non-snap node runner, BUILD-PLAN gotcha) - ci.yml playground-tests → manifold-tests; osc-bridge.yml → manifold/osc-bridge (was already broken: playground/osc-bridge no longer existed) - codegen: TS emission target removed (returns at P5 → manifold); golden test now C++-only; TS emitters retained dormant - .gitignore: manifold/osc-bridge paths; drop dead playground faust exception - docs: AGENTS.md gates, README quickstart, MAP.md, ALIGNMENT.md (C15 now archive-only — defect #1 updated), AGENT-REFERENCE.md, specs/MAIN.md Part of docs/specs/plans/one-core-engine-refactor.md P1.
42 lines
1.6 KiB
Markdown
42 lines
1.6 KiB
Markdown
# Neural Interactive Shaping of Parameter Spaces
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https://musicallyembodiedml.github.io/memlnaut/approaches/nisps
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## Firmware
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The hardware firmware targets the MEMLNaut RP2350 build and uses repo-local helper
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scripts for the known-good build configuration:
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```bash
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git submodule update --init --recursive
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scripts/build-firmware.sh
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scripts/flash-firmware.sh
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scripts/build-and-flash-firmware.sh
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```
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Notes:
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- The scripts build for `rp2040:rp2040:solderparty_rp2350_stamp_xl` with `Optimize3`.
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- The build forces C++20 because the firmware uses `std::span` and concepts.
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- `build-firmware.sh` accepts an optional variant name such as `MEMLCelium` or `BreakOr`. Matching remains case-insensitive, so `memlcelium` still works. If you omit it in an interactive shell, the script parses `MEMLNaut-NISPS.ino`, prompts for a variant, and rewrites the active `MEMLNAUT_MODE_TYPE` before building.
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- `flash-firmware.sh` accepts an optional mountpoint argument, or auto-detects common UF2 bootloader mounts such as `/run/media/$USER/RP2350` and `/run/media/$USER/RPI-RP2`.
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## Manifold (browser app)
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Try NISPS in your browser — no hardware required. Manifold is the React front-end
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running the same C++ engines + ML as the firmware, compiled to WASM:
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```bash
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cd manifold
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bun install
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bun run dev
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```
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Staging deployment: https://meml.lnfinitemonkeys.org/next/
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Train a neural network to map input gestures to synth parameters through interactive
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machine learning: place examples, or use verdict-based feedback (explore-and-place,
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geometric dislike).
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(The former SolidJS playground was retired in July 2026 — archived on branch
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`archive/playground-solidjs`, tag `playground-solidjs-final`.)
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