SSMDE – Appendix Z — AI Without a Dictionary (Z.10–Z.12)

Societal upside, practical roadmap, and a copy-ready implementation sketch.

Z.10 Societal Upside (Entrepreneurship and Inclusion)

  • Opportunity creation, not just cost-cutting. Personal AI emits stamped { value, align, band, manifest_id }; Universal AI routes/audits. Individuals can productize skills with portable proof of quality.
  • Broader participation. Offline-first lanes and manifests run on modest hardware; privacy modes (value-only/value+band/full_ssmde) protect users while enabling help (health monitoring, micro-finance).
  • Human-first workflows. Bands encode duty-of-care windows (e.g., “review within 24h”), keeping people in the loop and defensible.
  • Trust that travels. A small shop and a national system can interoperate by sharing manifests, not monolithic ontologies.

Z.11 Roadmap: Practical Concerns and How We Address Them

  • Offline sync & divergent chains.
    Rebase policy: prefer the branch whose latest utc_iso is newer and whose chain verifies end-to-end; retain the other as alternate lineage until resolved. Never edit historical stamps.
    Stamp rule: SSMCLOCK1|<utc_iso>|theta=<deg>|sha256=<hex>|prev=<hex|NONE>
  • Edge scalability & numerics (phones, gateways).
    Use fixed-point/LUT+poly for atanh/tanh with declared tolerance. Keep classical m pristine.
    Reference pipeline (must remain identical in meaning): a_c := clamp(a_raw, -1+eps_a, +1-eps_a) u := atanh(a_c) U += w*u ; W += w align := tanh( U / max(W, eps_w) ) Declare: tolerance_align_fixed_point (e.g., 1e-4) in the manifest.
  • Adoption incentives (Universal AI boundary).
    Priority routing / reduced frictions when stamp + valid manifest_id present; audit credits for stamped records; faster safety escalations using bands.
  • Ethical safeguards (observation-only).
    Bands are advisory; never sole basis for life-critical decisions. Keep escalation_owner in manifest; require human override paths.

Z.12 Implementation Sketch (Personal AI Local Server, pseudocode)
Boot & stream in plain ASCII; preserve m byte-for-byte (collapse parity).

# Boot
manifest = load_manifest("AI_TRIAGE_v3")
state = { U: 0.0, W: 0.0 }   # accumulators

# On each observation x with alignment a_raw and weight w
a_c   := clamp(a_raw, -1+eps_a, +1-eps_a)
u     := atanh(a_c)
state.U += w * u
state.W += w
align := tanh( state.U / max(state.W, eps_w) )

band   := lookup_band(align, manifest.bands)   # ranges → action/timing
record := { "value": x, "align": align, "band": band, "manifest_id": manifest.id }

stamp  := ssmclock1_stamp(record)  # "SSMCLOCK1|<utc_iso>|theta=<deg>|sha256=<hex>|prev=<hex|NONE>"
emit(record, stamp)

# Selective disclosure (policy-driven)
if policy.mode == "value_only":
    emit({ "value": x })
elif policy.mode == "value_plus_band":
    emit({ "value": x, "band": band })
else:
    emit(record, stamp)

Acceptance gates (must pass for evidence packs):

1) phi((m,a)) == m
2) a_c := clamp(a_raw, -1+eps_a, +1-eps_a)
3) order_invariance == true   # batch/stream/shuffle identical
4) band thresholds & timing match manifest exactly
5) sha256(prev_stamp) == next.prev

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