Conversation
Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
…sses, routing, flywheels, forecasting, WASM) Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
- scripts/optimization/flywheel.js: tiered eval runner with heuristic + optional LLM-judge scoring, escalation, backoff, JSONL eval logging - scripts/optimization/darwin-evolve.js: elitist gradient-free genome evolution with bounded mutations and a strict safety whitelist gate - config/optimization/darwin.config.json: model tiers, initial genome, mutation bounds, 7-task built-in suite - API key read from OPENROUTER_API_KEY env only; eval logs gitignored Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
… memory) Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
…nImprovement gate Round 1 baseline mean 0.987, post-evolution 0.994 — within judge/cost noise. Promoted mutations were inert on a score-saturated suite, so the noise-driven genome writeback is reverted and minImprovement raised to 0.005 to block noise-level promotions. Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
…ve heuristics Tightens saturated round-1 heuristics and adds harder tasks (complexity 0.45-0.8: backprop derivative, MASE ranking, concurrency bug, NaN-aware dedupe) so fitness discriminates between model tiers. Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
…harness proven honest Three concurrent islands (seeds 7/13/99), 12 candidates, 0 promotions: the initial genome is locally optimal on the discriminating 11-task suite. The raised gate rejected all cost-noise ties and one genuinely harmful routing mutation on merit. Cheap-only routing loses 5.2 quality points that genome routing recovers for +$0.005/run. Session metered spend ~$0.08, zero API failures. Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
MNIST-sized forward pass 127.3us (~1.17 ns/MAC, scalar territory); run_batch shows zero batching benefit; Network::new 2.37ms inside training loops. Top hotspot: Neuron::calculate AoS gather + per-layer allocs; ruv-swarm benches found orphaned (no [package]). Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
…) and fix README accuracy - rand 0.8→0.9 with mechanical API migration across src and examples; rand_distr 0.5; getrandom 0.3 with wasm_js backend config; thiserror 2; ~90 transitive patch bumps. wgpu/bincode/criterion deliberately held back (major migrations documented in agent report). - README: 'zero unsafe' corrected to 10 audited AVX2 sites in src/simd; SWE-Bench 84.8% footnoted with in-repo provenance and reproduction status; model count corrected 27+ to 17 (implementation census). - Includes in-progress forward-path optimization edits to neuron/layer/network (verified: combined tree passes 173/173 tests); final optimization commit with before/after benches follows. Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
… .claude.json; final optimization state - docs/research/06-security-audit.md: remove identifying fragments of the live credentials found in tracked .claude.json (full redaction) - remove .claude.json from the git index and add to .gitignore — the file contains live third-party credentials; ROTATION REQUIRED and a history purge on main is recommended (see report section 5) - includes optimizer's final forward-pass state: scratch-buffer reuse, single-bounds-check accumulation, per-layer activation hoist — measured XOR -17%, small -35%, medium -27%, MNIST -13%; 173/173 tests Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
… .claude.json Also captures remaining runtime state from the optimization session. Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
Native 128x784: AoS 0.707, SoA-4acc 0.161, gemm crate 0.078 ns/MAC. WASM+simd128: SoA-4acc 0.158 beats gemm 0.361. Recommendation: in-house SoA GEMV with fused activation (portable, zero deps); candle backend rejected for tiny shapes; adopt its +simd128 config. Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
… nets Per docs/research/09 (Option A): derived GemvCache with row-major SoA weight matrix per dense layer, 4-accumulator kernel with fused activation, lazy dirty-flag rebuild; AoS remains source of truth so training/introspection are unchanged. Non-dense/sparse topologies keep the existing path. No unsafe, no new deps. Measured (criterion, sample-size 10, repeated): MNIST-sized [784,128,64,10] 110.6us -> 19.7us (5.6x; 6.5x vs session baseline 127.3us); medium 3.6x; small 1.5x; XOR-sized -7% (plan-guard overhead at 3-neuron scale, 6ns absolute). Training benches unchanged-to-faster. Equivalence test: max relative delta 3.39e-7 vs per-neuron path. wasm32 +simd128 rustflags added; cargo check --target wasm32-unknown-unknown passes. 177/177 tests passing. Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
…flow) 9 unanimous findings: ecosystem convergence validates the shipped SoA GEMV (batch-1 caveat confirms kernel choice); multiversion runtime dispatch, relaxed-SIMD dual-build rule, memory64 avoidance, size-aware kernel selection as next steps. Notably: no evolutionary-harness speedup claims survived verification (corroborates our null results) and the cited TF.js WASM-SIMD baseline was refuted. Co-Authored-By: claude-flow <ruv@ruv.net> Claude-Session: https://claude.ai/code/session_01LR4pMModktXcNRr5LaU7xN
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Summary
Concurrent agent-swarm workflow (hierarchical topology; 14 specialized agents across five waves): deep technical review of ruv-FANN, 2026 SOTA landscape research, metaharness integration design, a working OpenRouter flywheel + Darwin optimization harness with two completed live evolution campaigns, a hardening wave (CI gating, security audit + remediation, benchmark baseline, dependency/claims modernization) — and a measured two-stage forward-pass optimization culminating in a SoA GEMV fast path: MNIST-sized inference 127.3µs → 19.7µs (6.5x).
The tracked
.claude.json(~1.7 MB) contained live third-party credentials (Supabase access token + password, ElevenLabs API key, Google Gemini API key) inside captured session logs. This PR removes it from the index and gitignores it, but the values remain in git history onmain. Rotate all four credentials, then purge history (e.g.git filter-repo). Details indocs/research/06-security-audit.md§5 (report is fully redacted).Performance (all measured, criterion
--sample-size 10 --measurement-time 2, reproduced across runs)src/soa.rs, per the measured plan indocs/research/09): derived row-major SoA weight matrix per dense layer, 4-accumulator GEMV kernel with fused activation, lazy dirty-flag rebuild — AoS stays the source of truth, so training and introspection are unchanged; sparse/cascade topologies keep the original path. No unsafe, no new dependencies. Equivalence test: max relative delta 3.39e-7 vs the per-neuron path. Training benches unchanged-to-slightly-faster.docs/research/09): on 128×784 GEMV, in-house SoA-4acc hits 0.161 ns/MAC native and beats thegemmcrate 2.3x on wasm32+simd128 (0.158 vs 0.361); Candle-as-backend rejected for tiny shapes (dispatch/alloc overhead, heavy deps). wasm32+simd128rustflags added;cargo check --target wasm32-unknown-unknownpasses.Research (docs/research/)
01repo deep review ·02SOTA landscape 2026 (~40 sources) ·03metaharness integration design ·04Darwin round-1 (honest null; Goodhart failure caught & corrected) ·05round-2 island-model evolution (12 candidates, 0 promotions — genome locally optimal; harmful mutation rejected on merit) ·06security audit (redacted) ·07benchmark baseline (31 benches, hotspot analysis) ·09Candle/WASM kernel analysis (measured GEMV micro-benchmarks driving the stage-2 design).Optimization harness (scripts/optimization/, config/optimization/)
flywheel.jstiered OpenRouter eval runner +darwin-evolve.jselitist genome evolution (safety-gated, island-capable) + 11-task discriminating suite.OPENROUTER_API_KEYfrom env only; eval logs gitignored. Live campaign spend ~$0.09, zero API failures.CI & security
pull_requesttriggers added toci.yml/comprehensive-testing.yml(PRs were previously ungated) with blocking root-cratepr-gate; new weeklysecurity.yml(cargo-deny advisories + npm audit).ruv-swarm/Cargo.lock(incl. rmcp DNS rebinding HIGH 8.8), fixablews/tar-fsnpm prod vulns, 10 undocumented unsafe AVX2 sites (now accurately described in README); root-workspace advisories remediated by this PR's lockfile update.Modernization
rand 0.9 / thiserror 2 / getrandom 0.3 (+wasm_js cfg) / ~90 transitive bumps (wgpu, bincode 2, criterion deliberately held back). README falsifiable claims corrected (unsafe inventory, SWE-Bench provenance footnote, model count 27+→17). Semver note:
randomize_weightstrait-bound path changed;Networkgained a private serde-skipped cache field (struct-literal construction from outside the crate no longer possible; builder/newunaffected).Test plan
cargo test --lib --tests: 177/177 passing at final state (173 baseline + 4 new SoA tests), verified independently by agents and coordinatorcargo checkclean incl.--features gpuand--target wasm32-unknown-unknownpr-gateshould become a required status check after merge