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GIGACHAD_NATIVE_SPINE — report

reports/GIGACHAD_NATIVE_SPINE_REPORT.md 1859 words raw markdown ↗

GIGACHAD_NATIVE_SPINE — report

2026-04-27. No embellishment.

Note: the Physarium-7B top brain exists only on paper for now (no shards). E2E "0.5B organs → 7B top" has not been run — there is no model backend yet. These are blockers, not completed work.

0. TL;DR

Done:

Not done (honestly):

1. What has actually been built and verified

1.1 Three native binaries built

build/gigachad_physarium      — Linux port folder/physarum_engine.cpp v4
build/gigachad_native         — skeleton CLI (dispatcher+verifier+dag+memory)
build/physarium7b_surgery     — port of pipeline_organic.py to native C++

1.2 Selftests — all PASS

=== physarium engine selftest ===
[selftest] rows=64 cols=64 block=64 iter=30 beta=2.00 → killed=296/4096 (7.23%)
[selftest] PASS (in expected range 1-50%)
[selftest] deterministic across runs: YES

=== gigachad_native selftest ===
[selftest] field: 8 routes loaded; best=ariz net=278.50
[selftest] PASS (0 failures)

=== physarium7b_surgery --selftest ===
[7b selftest] PASS (0 failures)

1.3 Native CLI works on real data

Recall:

$ ./build/gigachad_native --recall vol001:L1
{"pointer": "vol001:L1", "found": true, "vol_id": "vol001", "text": "{", ...}

$ ./build/gigachad_native --recall hologram:claim_extractor_ffaa6a2ffbac0997_1777284869413
{"pointer": "...", "found": true, "vol_id": "vol373",
 "text": "...{ \"form_id\": ..., \"route\": \"claim_extractor\", ..."}

Task with memory-before-model:

$ ./build/gigachad_native --task ariz --input "Hot dusty gas at 600C clogs metal filter"
{
  "task_id":         "task_b5b18cae44ece583",
  "route":           "ariz",
  "ok":              true,
  "verifier":        "TC+PC both filled, ≥8 chars each",
  "memory_sources":  ["hologram:ariz_7f4fb4ba1ab35e11_1777288225382"],
  "hologram_hits":   3,
  "top_hit_score":   1,           ← exact match prior form
  "field_suggest":   "ariz",
  "dag":             "/home/pc/gigachad_native/dag/runs/.../ariz_stub_phase6E_pending.json",
  "final":           "{\"technical_contradiction\":\"stub_tc placeholder\",..."
}

Memory recall finds the prior identical form (score=1.0), the field reads Phase-4 heat (8 routes, ariz net=278.5), the DAG is written with parents: ["hologram:..."].

The verifier accepted "stub_tc placeholder" because 19 chars > 8-char threshold. Known weakness — placeholder text ≥8 chars bypasses the rule. Phase-6E (real model) will produce real output, not a placeholder, at which point the verifier becomes meaningful.

2. Native memory spine — what has been ported

| Python (Phase-3..5) | C++ native (Phase-6+) | Status | |---|---|---| | runtime/raw_archive.py | src/memory/raw_archive.cpp | ✅ vol/L lookup, dag:, hologram:, scroll: | | runtime/hologram_retriever.py | src/memory/hologram_store.cpp | ✅ ngram + anchor jaccard, top-K | | runtime/physarium_field.py | src/memory/physarium_field.cpp | ✅ read route_heat / organ_heat, suggest | | runtime/dag_logger.py | src/dag/dag_logger.cpp | ✅ FNV-16 hash, JSON write, ISO timestamp | | runtime/manual_dispatcher.py | src/dispatcher/dispatcher.cpp | ✅ regex routing | | runtime/verifier.py / schemas.py | src/verifier/hard_verifier.cpp | ✅ strict per-organ rules + json_mini.cpp recursive descent | | folder/physarum_engine.cpp | src/physarium/physarium_engine.cpp | ✅ Linux port + selftest determinism | | runtime/anti_hallucination.py | — | ❌ pending | | runtime/topological_memory.py | — | ❌ pending (was Phase-5 advisory anyway) | | runtime/micro_scroll_builder.py | — | ❌ pending (Python pre-built; reader is enough for now) | | runtime/dag_replay.py | — | ❌ pending | | runtime/organ_runner.py | — | ⚠️ blocked on model backend |

3. Physarium-7B path — current state

3.1 Inventory

| Path | Type | Has weights? | Size | Role | |---|---|---|---|---| | /home/pc/qwen7b/instruct/ | Qwen2.5-7B-Instruct, BF16 safetensors, 4 shards | ✅ | 15 GB | DONOR for surgery | | /mnt/c/Users/pc/Desktop/folder/Physarum-7B-Final/ | config + tokenizer + index.json | ❌ skeleton only | 11 MB | target (empty) | | /mnt/c/Users/pc/Desktop/folder/Physarum-05B-Organic/ | Qwen2-0.5B Physarum-pruned | ✅ | 988 MB | organ farm base | | /mnt/c/Users/pc/.cache/huggingface/hub/Qwen2.5-0.5B/ | Qwen2.5-0.5B original | ✅ | 988 MB | 0.5B donor |

3.2 Surgery pipeline (port of pipeline_organic.py → native C++)

src/physarium7b/physarium7b_surgery.cpp:

Selftest checks BF16 roundtrip + safetensors header parse — PASS.

Not yet run on the real Qwen2.5-7B because:

3.3 Command to run (when there is time)

./build/physarium7b_surgery \
  --src  /home/pc/qwen7b/instruct \
  --dst  /home/pc/gigachad_native/Physarium-7B-Native \
  --block 256 --iter 30 --beta 2.0

Expected result: a Physarium-7B-Native directory with 4 modified shards + copies of tokenizer/config. Killed_pct on the target projections ~20% (matching the 0.5B case).

4. Organ farm — specification (no runtime yet)

organs/organ_farm.json describes 8 organs with a tier policy:

| Organ | Tier | Promotion rule | Verifier | |---|---|---|---| | phys05_json_repair | VRAM | pass>0.7 over 20 | strict json.loads + key preservation | | phys05_code_skeleton | VRAM | pass>0.8 | def + return + py_compile | | phys05_test_writer | RAM | on demand | def test_ + assert + import + ref fn | | phys05_claim_extractor | RAM | when ariz/research | JSON array, items have 'claim' field | | phys05_triz_contradiction | RAM | when ariz | strict JSON, TC+PC ≥8 chars, no placeholder | | phys05_renderer | SSD | when render route | prose, no JSON, ≥2 keywords | | phys05_cache_matcher | SSD | manual | int in [-1, cached_count) | | phys05_critic_lite | SSD | manual | strict JSON, 4 fields ∈ [0,3] |

Tier policy (documented, not yet runtime-implemented):

organ_manager.cpp has NOT been written yet — waiting on the model backend. Without a backend the manager would be an empty wrapper.

5. What has NOT been done and why

| # | Item | Reason | Estimate | |---|---|---|---| | 1 | Real model backend (llama.cpp wrap or native CUDA Qwen) | This is the biggest chunk: tokenizer + embed + RMSNorm + attention (sm_86 without FP8) + MLP + KV cache + sampling. 1000+ lines of CUDA, 1-2 weeks of work. | major | | 2 | Run Physarium-7B surgery | Ready to launch, but 1-2 hours of wall time + 15 GB I/O + output verification. Best done in a dedicated session. | hours | | 3 | organ_manager.cpp (tiering) | Without a backend — hollow. With a backend — a simple LRU eviction policy + cudaMallocHost staging. | day | | 4 | E2E "5 organs → 7B top" | Blocked by #1 + #2. After those — a single-prompt test. | hour | | 5 | anti_hallucination.cpp / topological_memory.cpp / dag_replay.cpp natively | Not on the hot-path critical path. The Python versions work for offline forensics. | day each | | 6 | Multi-instance organ loading (several 0.5B at once) | Without a backend — nothing to load. 24 GB RAM allows 8-10 instances simultaneously. | day after backend |

6. Tree artefacts

/home/pc/gigachad_native/
├── Makefile                          (builds 3 binaries)
├── LLM_SURGERY_LAB.md                (knowledge tree)
├── include/                          (8 headers)
├── src/
│   ├── main.cpp                       --task / --recall / --selftest / --rebuild-index
│   ├── physarium/                     engine + cli
│   ├── physarium7b/surgery.cpp        7B surgery port
│   ├── dispatcher/dispatcher.cpp     regex routing
│   ├── verifier/                      json_mini + hard_verifier
│   ├── dag/dag_logger.cpp
│   └── memory/                        raw_archive + hologram_store + physarium_field
├── organs/organ_farm.json            8-organ spec + tier policy
├── memory/raw_archive_index.json     auto-built (vol001..volNNN)
├── reports/
│   ├── TRUTH_LEDGER.md
│   ├── GIGACHAD_PHASE6_NATIVE_CONSOLIDATION.md
│   ├── GIGACHAD_NATIVE_SPINE_REPORT.md  ← this
│   └── hard_verifier_rescore.json
├── build/
│   ├── gigachad_physarium
│   ├── gigachad_native
│   └── physarium7b_surgery
└── dag/runs/                          native C++ DAG entries

7. What works right now

# Build all
cd /home/pc/gigachad_native && make

# Selftests (all PASS)
make selftest

# Exact recall
./build/gigachad_native --recall vol015:L1
./build/gigachad_native --recall hologram:<form_id>
./build/gigachad_native --recall dag:<task_id>
./build/gigachad_native --recall scroll:vol001_S02

# Task with memory-before-model (stub organ until Phase-6E)
./build/gigachad_native --task json_repair --input '{a:1,b:2,}'
./build/gigachad_native --task ariz --input "Hot dusty gas at 600C clogs metal filter"

# Physarium engine direct (Linux port, byte-compatible with folder/physarum_engine.exe)
./build/gigachad_physarium --selftest
# Or stdin protocol: header + matrix → stdout pruned matrix + killed/total

# Physarium-7B surgery (when ready to invest hours):
./build/physarium7b_surgery --selftest          # quick
./build/physarium7b_surgery --src /home/pc/qwen7b/instruct \
                              --dst /home/pc/gigachad_native/Physarium-7B-Native \
                              --block 256 --iter 30 --beta 2.0

8. Main blockers before a working Franken

[blocker-1] model backend                 (1-2 weeks of CUDA work)
[blocker-2] Physarium-7B surgery run      (hours, ready binary)
[blocker-3] organ_manager runtime         (day after backend)
[blocker-4] E2E test                      (hour after #1-3)

I am not doing these in this burst for two reasons:

9. Forbidden patterns avoided

10. What to do next (a recommendation, not a command)

Option A — Physarium-7B surgery first:

Option B — model backend first:

Decision is yours. I do not run this on my own.