w1n5t0n
b4340c7f34
docs(vcv): fix 7 issues from second fresh-eyes review
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1. Rename derived output SPREAD → STD to avoid collision with SPREAD knob
2. Route thumbs-down through background thread (was mutating inference
MLP directly — data race). Establish single-writer threading invariant.
3. Add rapid feedback queueing with coalescing (max queue depth 1)
4. Document slew-on-slew interaction (decimation + crossfade compose cleanly)
5. Cut compact (20HP) panel — physically impossible to fit 22 jacks
6. Define derived output defaults with 0 examples (NOVELTY=10V, CONFIDENCE=0V)
7. Initial random output is intentional (shows liveness, gives RL starting point)
2026-03-27 23:39:56 +02:00
w1n5t0n
9dfa1429d0
docs(vcv): address spec gaps from fresh-eyes review
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- Fix licensing: nisps-core is MPL-2.0, VCV SDK is GPLv3
- Fix VCV Rack 2 description: Community Edition is free, Pro is paid
- Add Phase 0: port spread-aware drawWeights/moveWeights to nisps-core C++
- Detail threading model: two MLP instances, atomic swap flag, memory cost
- Add configurable output slew (default 10ms) for post-training crossfade
- Add input signal handling: mono channel 0, hard-clamp out-of-range CV
- Add .nisps file format version field for forward compatibility
- Document dataset capacity (100 max, FIFO forgetting)
- Specify novelty/confidence computation strategy (training thread, cached grid)
- Add open questions: novelty grid scaling, C++20 toolchain, expander protocol
2026-03-25 12:25:21 +02:00
w1n5t0n
412782ed0e
docs(vcv): add VCV Rack module specification
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Full spec for MEMLNaut VCV Rack module based on interview:
- 2-8 configurable CV inputs, 12 raw + 5 derived CV outputs
- RL feedback via panel buttons + CV triggers with learn gate guard
- nisps-core C++ engine with background thread training
- User-configurable inference rate (block to audio rate)
- Bidirectional state transfer with companion webapp (file + OSC)
- 10-phase development plan from skeleton to distribution
2026-03-25 12:17:24 +02:00
