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ARIZ_KERNEL — inventive thinking OS for GIGACHAD_NATIVE

reports/ARIZ_KERNEL.md 898 words raw markdown ↗

ARIZ_KERNEL — inventive thinking OS for GIGACHAD_NATIVE

Status: architecture law (kernel-grade). Patches MASTER_REPORT §1. Date: 2026-04-27.

GIGACHAD_NATIVE never does task → 7B → answer. It always walks
the ladder of ARIZ operations: at each step **something concrete is
computed and written into the DAG**, and only afterwards does the 7B top brain
receive an already-structured ARIZ_TRACE for synthesis.

Why this exists

Altshuller showed that trial-and-error eats years, while ARIZ breaks the "problem → solution" path into a sequence of operations. Each operation is narrow, verifiable, and strips away one layer of psychological inertia. For us that means: the 7B brain must not "think for everyone" — it must synthesise on top of already-identified contradictions, IFR (Ideal Final Result), and resources. Otherwise it slides back into the donor's chat style, which Phase-8C/D demonstrated. (NEED_MORE_EVIDENCE | Final: … loop).

The 9 ARIZ operations (kernel order)

| # | Stage | Output | Native producer | |---|-------------------------------|------------------------------------------|---------------------------------------------------| | 1 | Terminology neutralization | neutralized_problem (no jargon) | new organ phys05_term_neutralizer (or 7B fallback) | | 2 | Technical contradiction (TC) | {improves, worsens} | phys05_triz_contradiction (already wired) | | 3 | Physical contradiction (PC) | {must_be_X, must_be_not_X, when} | same organ extends schema | | 4 | Ideal Final Result (IFR) | "X happens by itself, without …" | new organ phys05_ifr (or 7B short call) | | 5 | Resources | {substance[], field[], time[], space[]} | new organ phys05_resources (or 7B short call) | | 6 | TRIZ operators | [op_id, op_name, applicability_score] | rule-based selector + memory recall (no LLM call) | | 7 | Little-people method (smart material) | textual model of micro-elements | 7B short call, optional | | 8 | Candidate solutions | [{idea, applies_op, addresses_pc}] | 7B top brain synthesis | | 9 | Verification + docking | hard verifier + DAG + hologram save | existing spine |

Stages 1, 2, 3, 4, 5 produce machine-readable JSON. Stage 6 is rule-based, no LLM. Stages 7, 8 are LLM. Stage 9 is the existing verifier/DAG/hologram.

ARIZ_TRACE schema (the kernel artifact)

Every ARIZ task produces one ARIZ_TRACE record, written to DAG and saved as a hologram:

{
  "trace_version": "ariz_trace_v1",
  "task_id":       "ariz_e2e_<hash>",
  "raw_problem":   "Hot dusty gas at 600C clogs a metal filter…",
  "neutralized":   "A porous barrier captures particles from a hot stream …",
  "TC": {"improves": "particle capture", "worsens": "flow rate"},
  "PC": {"must_be":  "porous to gas", "must_not_be": "porous to dust", "when": "during operation"},
  "IFR": "The barrier separates dust from gas without resistance, without parts, without external energy.",
  "resources": {
    "substance": ["dust", "gas", "filter material", "vibration", "centrifugal force"],
    "field":     ["thermal", "acoustic", "magnetic (if particles ferrous)", "electrostatic"],
    "time":      ["before clog", "during clog", "after clog"],
    "space":     ["upstream of filter", "filter surface", "downstream"]
  },
  "operators":   [
    {"op": 1,  "name": "Segmentation",        "score": 0.7},
    {"op": 17, "name": "Another dimension",   "score": 0.6},
    {"op": 35, "name": "Parameter changes",   "score": 0.55}
  ],
  "little_people": "Tiny workers riding the gas stream; …",
  "candidates": [
    {"idea": "Centrifugal pre-separator before filter",   "applies_op": 17, "addresses_pc": "yes"},
    {"idea": "Self-cleaning electrostatic mesh",          "applies_op": 35, "addresses_pc": "partial"},
    {"idea": "Acoustic standing-wave dust trap",          "applies_op": 18, "addresses_pc": "partial"}
  ],
  "verifier_pass": true,
  "dag_path":      "dag/runs/<…>.json",
  "hologram_id":   "ariz_<hash>_<ts>",
  "memory_sources":["hologram:ariz_<prev>", "vol014:L120-130"]
}

This trace is the memory unit of ARIZ thinking. Future hits with similar problems retrieve the trace — not just the final answer — and can short-cut through stages 1-5.

Pipeline pseudocode (current target)

input
 → memory_recall.find_ariz_traces(input)
 → if hit:        return cached candidate (still verify)
 → else:
    neutralized = phys05_term_neutralizer(input)
    TC, PC      = phys05_triz_contradiction(neutralized)
    IFR         = phys05_ifr(neutralized, TC, PC)
    resources   = phys05_resources(neutralized, TC)
    operators   = trz_select_operators(TC, PC, resources)            # rule-based
    little      = phys05_little_people(neutralized) if needed
    candidates  = physarium_7b.synthesize(
                    task=input,
                    trace={neutralized, TC, PC, IFR, resources, operators, little},
                    memory=memory_sources,
                    verifier_requirements=…)
    verifier    = hard_verifier(candidates)
    DAG.write(ARIZ_TRACE)
    hologram.save(ARIZ_TRACE)

Forbidden shortcuts

Implementation roadmap

| Stage | Status (2026-04-27) | Phase | |----------|---------------------|------------------------------------------| | 1 neutralizer | ⏳ specced, not wired | 8F2 | | 2 TC | ✅ wired (phys05_triz_contradiction) | already in 8F0 | | 3 PC | ⏳ schema extension | 8F2 | | 4 IFR | ⏳ specced | 8F2 | | 5 resources | ⏳ specced | 8F2 | | 6 operators | ⏳ rule table TBD | 8F2 (no LLM, fast) | | 7 little-people| ⏳ optional | 8F3 | | 8 synthesis | ⚠️ partial (7B does it without trace) | 8F2 will pass full trace | | 9 verifier+DAG | ✅ wired | already in 8F0 |

Cost note

Each ARIZ stage on the 0.5B is ~30-90 s on CPU. Full ARIZ chain ≈ 5-7 organ calls + 1 7B call ≈ 8-15 min wall on the current CPU runner. Phase-8E (CUDA) is the unlock — but correctness of the chain is gated on this kernel existing, not on speed.

Master-report patch

MASTER_REPORT.md:

Every ARIZ-class task walks ARIZ_KERNEL (this doc)."

phys05_ifr, phys05_resources, phys05_little_people.