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monkey-w1n5t0n ec3118004d fix(ml): re-base the geometric dislike on upstream e291192 — delete the taper
geo_push.hpp and replay.hpp cited memllib @ 0a541cc. upstream/main pins
e291192, where the same code had been deliberately redesigned — and because
InterfaceRL was not in the tree (fixed one commit ago), we carried the
superseded version for months. Three changes, all upstream's:

  kGeometricPushScale   0.5 -> 1.0    (InterfaceRL.hpp:409)
  kNegLRBase            0.5 -> 1.5    (InterfaceRL.hpp:410)
  /(1+len) taper        deleted       (InterfaceRL.tpp:724)

Upstream's own comment on the taper: "a 'no' should clearly move the mapping
away even from a sound already far from the liked region (the taper used to
kill exactly that case)". The direction is already a unit vector, so the
taper only ever shrank the push for exactly the sounds a user is most likely
to be rejecting.

Cold start is folded into the same path. Upstream's useRandom is
`!havePositives || len <= 1e-4`: with nothing liked yet there is no centroid
to push away from, so every dim goes in a random direction. Ours instead
kept the older 0a541cc fallback — train AWAY from the heard action at a
NEGATIVE lr — which was inert whenever the heard action equalled the net's
own output, i.e. in the common case. One path now, and a "no" moves the
mapping before any likes exist (ml_bench E1: 0 -> 2.3e-3). The
GeometricColdStart action is still reported so callers keep their "like a
few sounds first" prompt; only the training changed.

Measured (ml_bench, one dislike at a point):
  A4  0.0157 -> 0.0533 at-point displacement (3.4x), so end to end across
      this and the RMSProp fix: 5.3e-5 -> 5.3e-2, ~1000x. The gap to the
      legacy Diffuse design closes from ~4100x to ~4.2x.
  D1  effective_lr 4.7e-4 -> 1.5e-3; 10 presses now reach 0.34, 100 reach
      the full intended push.
  A5  compounding 0.87 -> 0.96 (a second press at the same spot is no
      longer noticeably weaker than the first).
  A7  damage_ratio essentially unchanged (0.87-1.57) — the collateral
      damage to protected positives scales with the push and is NOT
      addressed here; it is the negative-feedback design question.

NOT adopted, deliberately: upstream's per-tick batch retraining over all
live negatives, and its fixed kDislikeLifetimeMs=2500 in place of our
proportional decay. Both need something the core does not have — a per-tick
call site and a millisecond clock inside nisps/ml — so they change
FeedbackControllerCore's interface rather than its constants. Recorded in
ALIGNMENT's deferred-debt entry alongside the existing one-press-one-step
divergence, and filed as its own task.

test_mlp_geo_dislike.cpp: the taper test now pins its ABSENCE (equal
displacement near and far), the cold-start test pins movement where it used
to pin inertness, and a new test covers the random-direction branch.

ALIGNMENT defect 6b resolved. Gates: build-cpp-tests 139 tests / ctest 4/4,
parity-check PASS (WASM rebuilt), lint-cpp clean, firmware slpworkshop
SUCCESS.
2026-07-25 11:22:15 +02:00
.github/workflows feat: curve truth, DriverConfig, real telemetry, engine benchmark 2026-07-21 22:02:23 +02:00
.vscode memlnautmodes, channelstrip 2025-11-19 15:17:37 +00:00
assets/media docs: restructure design docs into docs/specs (adr/plans/recon), update path references 2026-07-13 23:15:46 +03:00
codegen feat: curve truth, DriverConfig, real telemetry, engine benchmark 2026-07-21 22:02:23 +02:00
docs docs(specs): P5 architectural specs — 5a, 5b, 5c, 5d 2026-07-21 22:03:39 +02:00
firmware docs(firmware): vendor InterfaceRL as read-only reference 2026-07-25 11:14:35 +02:00
manifold fix(ml): re-base the geometric dislike on upstream e291192 — delete the taper 2026-07-25 11:22:15 +02:00
nisps fix(ml): re-base the geometric dislike on upstream e291192 — delete the taper 2026-07-25 11:22:15 +02:00
schemas feat: curve truth, DriverConfig, real telemetry, engine benchmark 2026-07-21 22:02:23 +02:00
scripts test(ml): behavioural benchmark + 20 invariants for the control mapping 2026-07-25 11:02:24 +02:00
tests/cpp fix(ml): re-base the geometric dislike on upstream e291192 — delete the taper 2026-07-25 11:22:15 +02:00
vcv docs: the specs disposition pass (plan §8) 2026-07-21 20:17:58 +02:00
.envrc chore: add .envrc + playground package-lock 2026-06-28 04:14:30 +02:00
.gitignore build(firmware): migrate to PlatformIO and vendor memllib (plan §5) 2026-07-21 20:17:58 +02:00
AGENTS.md docs+ci: P5 doc sync; codegen golden wired into run-all-tests stage 5 2026-07-18 12:45:45 +02:00
ALIGNMENT.md fix(ml): re-base the geometric dislike on upstream e291192 — delete the taper 2026-07-25 11:22:15 +02:00
CLAUDE.md chore(agents): converge project instructions 2026-07-13 22:58:26 +02:00
LICENSE Initial commit 2025-04-10 14:17:18 +01:00
MAP.md fix(ml): re-base the geometric dislike on upstream e291192 — delete the taper 2026-07-25 11:22:15 +02:00
README.md feat(manifold)!: P1 — retire playground/, manifold is the sole browser app 2026-07-13 23:27:56 +02:00

Neural Interactive Shaping of Parameter Spaces

https://musicallyembodiedml.github.io/memlnaut/approaches/nisps

Firmware

The hardware firmware targets the MEMLNaut RP2350 build and uses repo-local helper scripts for the known-good build configuration:

git submodule update --init --recursive

scripts/build-firmware.sh
scripts/flash-firmware.sh
scripts/build-and-flash-firmware.sh

Notes:

  • The scripts build for rp2040:rp2040:solderparty_rp2350_stamp_xl with Optimize3.
  • The build forces C++20 because the firmware uses std::span and concepts.
  • 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.
  • 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.

Manifold (browser app)

Try NISPS in your browser — no hardware required. Manifold is the React front-end running the same C++ engines + ML as the firmware, compiled to WASM:

cd manifold
bun install
bun run dev

Staging deployment: https://meml.lnfinitemonkeys.org/next/

Train a neural network to map input gestures to synth parameters through interactive machine learning: place examples, or use verdict-based feedback (explore-and-place, geometric dislike).

(The former SolidJS playground was retired in July 2026 — archived on branch archive/playground-solidjs, tag playground-solidjs-final.)