0. Plain Statement
Shadow reveals capacity. Light governs execution.
Plain-language version:
A system may be able to imagine, simulate, detect, exploit, dominate, manipulate, deceive, attack, bypass, or destroy. That does not mean those capacities are coherent to execute. Shadow reveals the could-do space. Light filters the may-do space.
1. Formal Definition
The Shadow–Light Execution Law states that shadow functions reveal possible action capacity, while light functions determine which actions are admissible under principle, boundary, wisdom, restoration, and coherence constraints.
Shadow is the system’s capacity to perceive, simulate, or understand harmful, adversarial, forbidden, destructive, deceptive, manipulative, coercive, exploitative, or destabilizing possibilities.
Light is the system’s capacity to govern execution through coherence constraints: truth, love, sovereignty, wisdom, justice, boundary, restoration, consent, proportionality, and whole-system effects.
Shadow is not evil. It is capacity awareness. A system that cannot perceive shadow pathways cannot defend against them, design safely, detect exploitation, or understand risk.
Light is not naïveté. It is execution governance. A system that claims light while refusing to perceive shadow becomes vulnerable, brittle, and incomplete.
The danger arises when shadow simulation becomes execution authorization, or when light claims suppress shadow perception.
Therefore:
Shadow reveals could-do space.
Light filters may-do space.2. Canonical Form
Core form:
SI reveals could-do space
LI filters may-do spaceShadow-capture form:
SI without LI ⇒ shadow captureNaïve-light form:
LI without SI ⇒ naïve light / risk blindnessExecution-valid form:
SI simulation + LI authorization + Σ/BΣ intact + FI intact ⇒ coherent execution possibleRelated variables:
O, H, ε, ι, Au, R, R_eff, BΣ, K, σ, µᵢ, Φ, Λ, ⊗, Γ, Π, ℛ, Θ, Σ, Ψ, Τ, FI, SI, LIWhere:
| Variable | Meaning in this law |
|---|---|
SI | Shadow interface; reveals possible harmful, adversarial, forbidden, or high-risk action pathways |
LI | Light interface; filters whether a possible action is coherent, admissible, and principle-aligned |
O | Coherence; preserved when execution is filtered by Light |
H | Hidden debt created when shadow capacity executes without coherent authorization |
ι / Ξ | Inversion when shadow action is justified as necessity, truth, safety, wisdom, or strength |
BΣ | Boundary integrity; protects systems from shadow-driven violation |
Σ | Scope and admissible action region |
K / σ | Slack / sovereignty protected when execution avoids extraction or coercion |
Au | Auditability required to inspect why an action was allowed or refused |
FI | Feedback integrity required to detect whether execution caused harm or debt |
R / R_eff | Restoration capacity required if shadow simulation reveals real risk or if execution causes harm |
µᵢ | Meaning / agent integrity; degraded when capacity is mistaken for permission |
Φ | Visible success proxy; may rise when shadow action produces local advantage |
Λ | Compatibility between action, target, field, and principle constraints |
⊗ | Coupling intensity affected by shadow-informed action |
Γ | Classifies possible action, admissible action, refusal, risk, and execution status |
Π | Controls, gates, or enforcement mechanisms that may prevent unauthorized execution |
ℛ | Restoration action after boundary, force, or deception debt |
Θ | Humility required to avoid overidentifying simulation with truth or permission |
Ψ | Field and affected-node feedback validating consequences |
Τ | Time validation of whether action preserved coherence |
3. Core Mechanism
The law unfolds when possible action is confused with admissible action.
Coherent shadow–light pathway
risk / possibility detected
→ Shadow simulates could-do pathways
→ Light evaluates admissibility
→ boundary, consent, wisdom, and restoration constraints are applied
→ inadmissible actions are refused
→ admissible actions proceed with audit and feedback
→ coherence is time-validatedShadow capture pathway
Shadow detects capacity
→ capacity becomes fascination / identity / justification
→ Light authorization is bypassed
→ action executes because it can
→ H↑ + force debt↑ + ι↑
→ coherence declinesNaïve light pathway
Light ideal is claimed
→ Shadow pathways are refused or unseen
→ risks remain unmodeled
→ system becomes vulnerable to exploitation
→ harm occurs despite positive intentThe core mechanism is:
capacity awareness must be separated from execution authorizationDetailed mechanism:
- A possible action pathway becomes visible.
The system sees how to exploit, attack, deceive, dominate, bypass, manipulate, coerce, suppress, or control.
- Shadow expands the possible action-space.
The system gains risk awareness and strategic capacity. This may improve defense, diagnosis, security, governance, or design.
- Light must evaluate admissibility.
The system checks principle constraints, boundary integrity, consent, proportionality, restoration, field effects, and recurrence risk.
- The system either filters or identifies with the capacity.
If Light filters the pathway, capacity becomes wisdom. If the system identifies with the capacity, shadow becomes capture.
- Execution changes the field.
If an action is executed without Light authorization, it creates hidden debt, force debt, boundary damage, or legitimacy decay.
- Time reveals whether execution was coherent.
Recurrence, harmed-node burden, field effect, and restoration load validate whether action remained inside the admissible region.
4. When This Law Applies
This law applies whenever a system can perceive, simulate, or perform an action that may be powerful, risky, harmful, coercive, deceptive, adversarial, manipulative, or destabilizing.
It is especially important when:
- a security system studies adversarial tactics;
- an AI system can generate harmful or manipulative outputs;
- an institution can use authority to suppress or expose;
- a governance system can enforce, punish, surveil, or restrict;
- an economy can extract value through asymmetry;
- a culture can shame, exclude, or ritualize control;
- a person or group can dominate a weaker node;
- a model can optimize local reward by violating hidden constraints;
- a system mistakes strategic capacity for legitimacy;
- a system refuses to model risk because it wants to remain “pure”;
- a system uses truth, safety, justice, or wisdom language to authorize coercive action.
The law applies strongly when:
could-do is being treated as may-door when:
shadow simulation is either denied or allowed to govern executionTypical domains:
| Domain | Shadow–Light Execution Expression |
|---|---|
| AI systems | Models may simulate harmful pathways, but execution must pass through principle, boundary, consent, safety, and restoration filters. |
| Security | Security must understand adversarial capacity without becoming captured by adversarial logic. |
| Institutions | Authority may know how to suppress, expose, punish, or control, but Light must govern admissibility. |
| Medicine / biology | Intervention capacity must not become permission to overload the system. |
| Economy | Capability to extract profit does not make extraction coherent. |
| Governance | Enforcement power must be filtered through justice, legitimacy, repair, and proportionality. |
| Culture | Symbolic power must not execute shame, exclusion, or domination because it can. |
| Restoration | Repair must distinguish risk simulation from permissible action. |
5. When This Law Does Not Apply
This law should not be used to suppress risk modeling, adversarial analysis, shadow recognition, or strategic realism.
Seeing a harmful pathway is not the same as endorsing it. Modeling threat, deception, exploitation, coercion, or manipulation may be necessary for protection and coherent design.
False-positive cases:
| Case | Why it is not shadow capture |
|---|---|
| A security team models an exploit to patch it | Shadow supports defense under Light authorization |
| An AI safety team red-teams harmful outputs without deploying them | Simulation remains bounded |
| A governance system models abuse pathways to prevent them | Shadow informs prevention |
| A person recognizes a manipulative option and refuses it | Light successfully filters execution |
| A system studies failure modes to build restoration | Shadow capacity supports coherence |
Important distinction:
Shadow perception is not shadow capture. Shadow capture occurs when the possible action becomes the executed or identity-bound action without Light authorization.
6. Diagnostic Signature
Canonical diagnostic:
SI reveals could-do space
LI filters may-do spaceWarning signature:
capacity detected
authorization unclear
boundary stress↑
principle constraint weak
execution pressure↑
H risk↑
⇒ shadow capture riskCommon indicators:
| Diagnostic | Expected movement | Interpretation |
|---|---|---|
SI | ↑ / active | Shadow capacity reveals possible action pathways |
LI | must be active | Light must filter admissibility |
H | ↑ if Light bypassed | Hidden debt rises from unauthorized execution |
ι / Ξ | ↑ if justified | Inversion rises when shadow action is framed as principle |
BΣ | must remain stable | Boundaries must not be violated by capacity execution |
Σ | clear | Scope and admissible region must be defined |
Au | ↑ / intact | Execution authorization must be traceable |
FI | intact | Feedback must reveal harm or drift |
K / σ | protected | Sovereignty and slack must not be extracted |
O | stable / ↑ | Coherence must hold after action |
µᵢ | stable / ↑ | Meaning integrity preserved when capacity is not confused with permission |
Φ | not sufficient | Local advantage from shadow action is not proof of coherence |
R_eff | sufficient | Restoration capacity needed if high-risk action is taken |
Τ | required | Time validates whether action remained coherent |
Additional diagnostics:
| Diagnostic | Use |
|---|---|
| Shadow Capacity | Measures what the system can perceive, simulate, or do |
| Light Authorization | Tests whether action passed admissibility filters |
| Execution Admissibility | Determines whether action may proceed coherently |
| Shadow Capture Risk | Detects capacity-identification or execution pressure |
| Constraint Field Integrity | Tests whether principle constraints are active |
| Boundary Integrity | Detects violation risk |
| Force Debt | Detects coercive execution cost |
| Feedback Integrity | Preserves consequence signals |
| Coherence Trajectory | Tests whether execution preserves O |
| Temporal Proof | Validates action over time |
7. Failure Pattern
If ignored, this law produces shadow capture or naïve vulnerability.
Shadow capture failure pathway
capacity revealed
→ capacity becomes identity / fascination / authorization
→ Light bypassed
→ action executed
→ H↑ + ι↑ + force debt↑
→ legitimacy declinesNaïve light failure pathway
principle ideal claimed
→ shadow pathways denied
→ risks unmodeled
→ exploitation occurs
→ system lacks defense
→ harm and hidden debt riseCommon failure modes:
- Shadow Capture — the system executes because it can.
- Capacity-Permission Confusion — capability is mistaken for admissibility.
- Adversarial Simulation Capture — modeling adversarial pathways becomes identification with them.
- Light Bypass — execution skips principle filtering.
- Naïve Light — refusal to model shadow creates vulnerability.
- Shadow Without Authorization — dark capacity is enacted without coherence review.
- Execution Without Constraint — action proceeds outside principle fields.
- Force Debt — coercion creates future debt.
- Deception Capture — deception capacity becomes operational pattern.
- Boundary Violation — action crosses consent, scope, or sovereignty limits.
- Pseudo-Alignment — action is framed as aligned because it achieves a proxy.
- Coherence Drift — repeated shadow execution shifts the system’s trajectory.
- Legitimacy Debt — trust decays when capacity misuse becomes visible.
Compact failure signature:
SI↑ + LI bypassed ⇒ H↑ + ι↑ + O↓8. Restoration Implications
Restoration requires separating simulation, authorization, and execution.
The first restoration question is not:
Can the system do this?The first restoration question is:
Is this action admissible under Light constraints?Restoration priorities:
- Identify the shadow capacity.
- Separate possibility from permission.
- Define Light authorization criteria.
- Apply principle, boundary, consent, and restoration constraints.
- Preserve auditability of execution decisions.
- Refuse inadmissible action even if useful.
- Model shadow pathways safely for defense and prevention.
- Repair debt created by past shadow capture.
- Restore feedback integrity.
- Time-validate that execution preserves coherence.
Relevant restoration arcs:
| Restoration Arc | Why it applies |
|---|---|
| Shadow–Light Rebalancing | Separates capacity awareness from execution authorization |
| Execution Constraint Repair | Restores admissibility filters |
| Boundary Reconstitution | Repairs boundary damage from shadow execution |
| Feedback Integrity Restoration | Restores consequence visibility |
| Inversion Reduction | Removes justification patterns around shadow action |
| Hidden Debt Reduction | Repairs debt created by unauthorized execution |
| Auditability Restoration | Makes execution decisions traceable |
| Discernment Spine Restoration | Rebuilds capacity to distinguish possible from permissible |
| Restoration Capacity Rebuild | Ensures repair capacity after high-risk action |
| Temporal Validation | Confirms action holds under time and recurrence |
Minimal restoration sequence:
identify SI capacity
→ define LI authorization
→ audit action against principle / boundary / consent
→ refuse or execute within Σ
→ monitor Ψ effects
→ repair H if needed
→ validate over ΤTemporal validation requirement:
SI bounded
LI active
BΣ stable
Au intact
FI intact
H↓ or stable-low
ι↓
force debt not increasing
O stable or rising
recurrence of shadow capture↓9. Design Rule
Do not confuse capacity with permission.
Operational design requirements:
- Map shadow capacities explicitly.
- Keep simulation separate from execution.
- Define Light authorization gates.
- Preserve principle constraints.
- Preserve consent and boundary constraints.
- Require auditability for high-risk actions.
- Require refusal pathways.
- Require restoration capacity for risky execution.
- Red-team without identity-binding to the adversarial pattern.
- Track force debt.
- Track deception debt.
- Track boundary effects.
- Time-validate execution outcomes.
Avoid:
- executing because the system can;
- treating power as legitimacy;
- treating strategic insight as permission;
- treating adversarial realism as identity;
- suppressing shadow perception in the name of purity;
- refusing to model harmful pathways needed for defense;
- using truth as domination;
- using safety as control;
- using justice as punishment-only;
- using AI capability as deployment permission;
- using security knowledge as coercive authority;
- bypassing consent because the outcome seems beneficial.
10. Cross-Scale Expressions
| Scale / Layer | Expression of the Law |
|---|---|
| U0 — Substrate | Physical or biological intervention capacity must be filtered by tolerance and repair constraints. |
| U1 — Energy / capacity | High capacity or power must not become automatic demand or execution. |
| U2 — Boundary / interface | Execution must preserve consent, scope, access, and sovereignty. |
| U3 — Process / execution | Shadow simulation must pass through execution controls and refusal gates. |
| U4 — Classification / claim | Could-do must not be classified as may-do. |
| U5 — Time / delay | Repeated shadow execution shifts trajectory over time. |
| U6 — Field effect | Affected-node outcomes reveal whether execution was coherent. |
| U7 — Recurrence / memory | Shadow capture can encode repeated harmful execution patterns. |
| U8 — Environment / forcing | Adversarial or high-pressure environments increase shadow capture risk. |
11. Examples
Example A — AI Capability Is Not Permission
Scenario:
An AI system can generate persuasive manipulation, deepfakes, exploit chains, emotional pressure, or coercive scripts.
Law expression:
SI reveals capability; LI must authorize or refuse executionInterpretation:
Capability is not deployment permission. Execution must pass through boundary, consent, safety, restoration, and field-effect constraints.
Example B — Security Red-Team Discipline
Scenario:
A security researcher learns how to exploit a system. The knowledge is used to patch, disclose responsibly, or strengthen defenses rather than harm.
Law expression:
SI exploit simulation + LI constraint ⇒ coherent security actionInterpretation:
Shadow perception supports protection when Light governs execution.
Example C — Governance Enforcement
Scenario:
A government can surveil, restrict, punish, expose, or control in the name of order or safety.
Law expression:
state capacity without LI / BΣ / Au ⇒ force debt↑Interpretation:
Authority capacity must be filtered by legitimacy, consent, repair, proportionality, and audit.
Example D — Institutional Exposure
Scenario:
An institution has access to damaging private information about a critic or harmed node and could use it to preserve legitimacy.
Law expression:
capacity to expose ≠ admissibility to exposeInterpretation:
Shadow knowledge cannot become execution unless Light constraints authorize it.
Example E — Biological Intervention Power
Scenario:
A practitioner or system has tools to intensify intervention, stimulation, detoxification, training, or restriction.
Law expression:
intervention capacity without tolerance / R_eff ⇒ harm risk↑Interpretation:
Just because the system can intervene does not mean the body can coherently carry it.
Example F — Cultural Symbolic Power
Scenario:
A cultural system can shame, exile, ridicule, or ritually mark a person for violating norms.
Law expression:
symbolic power without LI ⇒ boundary / meaning debt↑Interpretation:
Symbolic power must be filtered by justice, truth, proportionality, repair, and boundary integrity.
12. Relationship to Nearby Laws
| Related Law | Relationship |
|---|---|
| LAW-001 — Coherence Priority Law | Light filters execution toward coherence |
| LAW-002 — Coherence Trajectory Law | Repeated shadow execution alters trajectory |
| LAW-006 — Time Validation Law | Execution must be time-validated |
| LAW-009 — U4 / U6 Truth Law | Claims of justified execution require field validation |
| LAW-013 — Auditability-Debt Law | High-risk execution must remain auditable |
| LAW-016 — Inversion Formation Law | Shadow execution justified as principle creates inversion |
| LAW-024 — Latency–Gain Oscillation Law | High-gain shadow execution can destabilize rapidly |
| LAW-030 — Slack Sovereignty Law | Light protects slack and sovereignty |
| LAW-036 — Signal Artifact Law | Shadow perception may confuse artifact and signal |
| LAW-038 — Pattern Recognition Discipline Law | Shadow simulation requires disciplined interpretation |
| LAW-039 — Identity-Binding Hard Rule | Do not bind identity to shadow simulation |
| LAW-041 — Boundary Membrane Law | Light filters boundary admissibility |
| LAW-043 — Safe Coupling Law | Execution must preserve safe coupling |
| LAW-045 — Force Debt Law | Shadow execution often creates force debt |
| LAW-048 — Feedback Integrity Law | Feedback detects execution effects |
| LAW-050 — Control-Restoration Separation Law | Control capacity is not restoration authorization |
| LAW-052 — Stability Proof Law | Execution must survive perturbation |
| LAW-057 — Deception Instability Law | Deception capacity destabilizes when executed |
| LAW-064 — Restoration Debt Reduction Law | Execution should not increase hidden debt |
| LAW-065 — Pseudo-Restoration Law | Shadow action can be disguised as repair |
| LAW-067 — Temporal Proof Law | Light-authorized action still requires time proof |
| LAW-074 — Restoration Before Exploration Law | Shadow exploration must be bounded |
| LAW-085 — Principle Constraint Field Law | Light operationalizes principle constraints |
| LAW-086 — Principle Inversion Law | Light prevents principle inversion during execution |
| LAW-088 — Empathy–Sovereignty Law | Empathy must be bounded before execution |
| LAW-089 — Wisdom Timing Law | Light includes timing and scale filters |
| LAW-093 — Archetypal Scaling Law | Archetypal shadow capacity requires stricter execution filters at scale |
| LAW-096 — Sacred Constraint Law | Sacred constraints shape inadmissible execution |
| LAW-097 — Experience–Interpretation Separation Law | Shadow signals require interpretation discipline |
| LAW-098 — Awakening Stabilization Law | High-gain opening requires Light stabilization |
| LAW-101 — Paradox Dimensionality Law | Light may resolve apparent conflict across dimensions |
| LAW-117 — Shadow–Light Security Law | Security-specific expression of this law |
| LAW-127 — AI Decision Pipeline Law | AI execution must pass through Shadow simulation and Light filtering |
Aliases folded into this law:
- Shadow–Light Execution Law
- Shadow Reveals Capacity Law
- Light Governs Execution Law
- Could-Do / May-Do Law
- Adversarial Capacity Filter Law
- Shadow Simulation Light Authorization Law
- Capacity Is Not Permission Law
Deduplication note:
This law should remain the root Shadow–Light execution law. LAW-117 specializes the pattern for security, LAW-127 specializes it for AI decision pipelines, LAW-086 handles principle inversion, and LAW-089 governs timing and scale of execution.
13. Operator Mapping
| Operator | Role in this law |
|---|---|
Γ | Classifies possible action, admissible action, refusal, risk, and execution status |
Π | Provides controls, gates, enforcement, containment, or refusal mechanisms |
Ξ | Captures inversion when shadow action is justified as principle |
⊗ | Coupling intensity changed by shadow-informed execution |
ℛ | Repairs debt created by unauthorized or harmful execution |
Τ | Validates execution over time |
Θ | Prevents overidentification with shadow capacity |
Σ | Defines the admissible execution region |
Ψ | Field and affected-node feedback reveals execution effects |
Λ | Compatibility determines whether action can couple coherently with the field |
Coherent operator sequence:
SI(reveal could-do) → Θ(capacity humility) → Γ(classify risk/action) → Σ(admissible scope) → LI(principle authorization) → Π(refuse or gate execution) → Ψ(validate field effects) → Τ(validate coherence)Inverted operator sequence:
SI reveals capacity → capacity fascination / identity → LI bypassed → execution → H↑ → Ξ / ι↑ → O↓14. Machine-Readable Summary
id: "LAW-087"
name: "Shadow–Light Execution Law"
type: "law"
status: "draft"
family:
- "Principle, Archetype, and Meaning Laws"
summary: "Shadow reveals capacity, while Light governs execution by filtering what may be enacted coherently."
canonical_statement: "Shadow reveals capacity. Light governs execution."
core_form: "SI reveals could-do space; LI filters may-do space"
shadow_capture_form: "SI without LI ⇒ shadow capture"
naive_light_form: "LI without SI ⇒ naïve light / risk blindness"
execution_valid_form: "SI simulation + LI authorization + Σ/BΣ intact + FI intact ⇒ coherent execution possible"
variables:
primary:
- "SI"
- "LI"
- "O"
- "H"
- "ι"
- "Ξ"
- "BΣ"
- "Σ"
- "K"
- "σ"
- "Au"
- "FI"
secondary:
- "ε"
- "R"
- "R_eff"
- "µᵢ"
- "Φ"
- "Λ"
- "⊗"
- "Γ"
- "Π"
- "ℛ"
- "Θ"
- "Ψ"
- "Τ"
diagnostics:
- "Shadow Capacity"
- "Light Authorization"
- "Execution Admissibility"
- "Shadow Capture Risk"
- "Constraint Field Integrity"
- "Boundary Integrity"
- "Hidden Debt"
- "Inversion"
- "Feedback Integrity"
- "Coherence Trajectory"
- "Temporal Proof"
- "Force Debt"
failure_modes:
- "Shadow Capture"
- "Capacity-Permission Confusion"
- "Adversarial Simulation Capture"
- "Light Bypass"
- "Naïve Light"
- "Shadow Without Authorization"
- "Execution Without Constraint"
- "Force Debt"
- "Deception Capture"
- "Boundary Violation"
- "Pseudo-Alignment"
- "Coherence Drift"
- "Legitimacy Debt"
restoration_arcs:
- "Shadow–Light Rebalancing"
- "Execution Constraint Repair"
- "Boundary Reconstitution"
- "Feedback Integrity Restoration"
- "Inversion Reduction"
- "Hidden Debt Reduction"
- "Auditability Restoration"
- "Discernment Spine Restoration"
- "Restoration Capacity Rebuild"
- "Temporal Validation"
related_laws:
- "LAW-001"
- "LAW-002"
- "LAW-006"
- "LAW-009"
- "LAW-013"
- "LAW-016"
- "LAW-024"
- "LAW-030"
- "LAW-036"
- "LAW-038"
- "LAW-039"
- "LAW-041"
- "LAW-043"
- "LAW-045"
- "LAW-048"
- "LAW-050"
- "LAW-052"
- "LAW-057"
- "LAW-064"
- "LAW-065"
- "LAW-067"
- "LAW-074"
- "LAW-085"
- "LAW-086"
- "LAW-088"
- "LAW-089"
- "LAW-093"
- "LAW-096"
- "LAW-097"
- "LAW-098"
- "LAW-101"
- "LAW-117"
- "LAW-127"
related_invariants:
- "INV-001"
- "INV-002"
- "INV-006"
- "INV-080"
operator_sequence:
coherent:
- "SI reveal could-do"
- "Θ capacity humility"
- "Γ classify risk/action"
- "Σ admissible scope"
- "LI principle authorization"
- "Π refuse or gate execution"
- "Ψ validate field effects"
- "Τ validate coherence"
inverted:
- "SI reveals capacity"
- "capacity fascination / identity"
- "LI bypassed"
- "execution"
- "H↑"
- "Ξ / ι↑"
- "O↓"
aliases:
- "Shadow–Light Execution Law"
- "Shadow Reveals Capacity Law"
- "Light Governs Execution Law"
- "Could-Do / May-Do Law"
- "Adversarial Capacity Filter Law"
- "Shadow Simulation Light Authorization Law"
- "Capacity Is Not Permission Law"
deduplication_note: "Root Shadow–Light execution law. LAW-117 specializes the pattern for security, LAW-127 specializes it for AI decision pipelines, LAW-086 handles principle inversion, and LAW-089 governs timing and scale of execution."
source: "content/archive/laws/technical.md"15. Compact Card Version
LAW-087 — Shadow–Light Execution Law
Shadow reveals capacity. Light governs execution.
Core form:
SI reveals could-do space
LI filters may-do spacePlain meaning:
A system may be able to imagine, simulate, detect, exploit, dominate, manipulate, deceive, attack, bypass, or destroy. That does not mean those capacities are coherent to execute. Shadow reveals the could-do space. Light filters the may-do space.
Shadow-capture form:
SI without LI ⇒ shadow captureNaïve-light form:
LI without SI ⇒ naïve light / risk blindnessExecution-valid form:
SI simulation + LI authorization + Σ/BΣ intact + FI intact ⇒ coherent execution possiblePrimary variables:
SI, LI, O, H, ι, Ξ, BΣ, Σ, K, σ, Au, FI, R, R_eff, µᵢ, Γ, Π, ℛ, Θ, Ψ, Τ
Diagnostic signature:
A system detects a powerful or harmful possible action, but authorization is unclear; boundary stress rises, principle constraints weaken, execution pressure increases, and capacity starts being treated as permission.
Failure risk:
Shadow capture, capacity-permission confusion, adversarial simulation capture, Light bypass, naïve Light, shadow without authorization, execution without constraint, force debt, deception capture, boundary violation, pseudo-alignment, coherence drift, legitimacy debt.
Restoration priority:
Identify shadow capacity, separate possibility from permission, define Light authorization gates, apply principle, boundary, consent, and restoration constraints, preserve auditability, refuse inadmissible action, repair past shadow debt, and time-validate coherent execution.