12 Jun 12:01

i2os-lab

80720cc

I2OS Integrated Runtime Governance Stack v2.0 Draft Pre-release

Pre-release

I2OS Integrated Runtime Governance Stack v2.0 Draft

This draft release introduces I2OS Integrated Runtime Governance Stack v2.0.

Version 2.0 integrates the previous I2OS runtime governance layers into one continuous governance stack.

This is not an additional isolated layer.

It is the first integrated structure that connects:

v1.1 Runtime Classification
v1.2 Runtime Evaluation
v1.3 Trace / Audit
v1.4 Recovery / Repair
v1.5 Governance Report

into a single runtime governance process.

Core Question

Can classification, evaluation, audit, repair, and reporting
be integrated into one runtime governance stack?

Structural Progression

The project has progressed through the following sequence:

v1.0
Post-Scaling Intelligence Efficiency
        ↓
v1.1
Minimal Runtime Efficiency Gate
        ↓
v1.2
Runtime Evaluation Layer
        ↓
v1.3
Runtime Trace / Audit Layer
        ↓
v1.4
Recovery / Repair Path Layer
        ↓
v1.5
Runtime Governance Report Layer
        ↓
v2.0
Integrated Runtime Governance Stack

In short:

Theory
        ↓
Classification
        ↓
Evaluation
        ↓
Audit
        ↓
Repair
        ↓
Report
        ↓
Integrated Runtime Governance Stack

What v2.0 Adds

v2.0 integrates the previous layers into one continuous runtime flow:

Proposed AI Transition
        ↓
Runtime Classification
        ↓
GO / HOLD / REPAIR / BLOCK
        ↓
Runtime Evaluation
        ↓
EFFECTIVE / PARTIAL / NEUTRAL / FAILED
        ↓
Trace / Audit
        ↓
VALID / QUESTIONABLE / INSUFFICIENT / INVALID
        ↓
Recovery / Repair
        ↓
REPAIRED / CONFIRMATION_REQUIRED / NO_REPAIR_AVAILABLE
        ↓
Governance Report
        ↓
Human-Verifiable Governance Outcome

The final integrated outcomes are:

ALLOW
HOLD_FOR_CONFIRMATION
ALLOW_AFTER_REPAIR
BLOCK_NO_REPAIR
REVIEW_AUDIT
FAILED_GOVERNANCE

Included in This Draft

This release includes:

Integrated Runtime Governance Stack v2.0 specification
Minimal integrated runtime stack prototype
Integrated runtime stack test cases
README links for the v2.0 integration phase

Main files:

docs/integrated_runtime_governance_stack_v2_0.md
src/i2os_integrated_runtime_stack.py
tests/integrated_runtime_stack_cases.md

Why v2.0 Matters

Before v2.0, each layer could be understood independently:

Classification
Evaluation
Audit
Repair
Report

v2.0 connects them into one runtime governance process.

This changes the structure from separate governance modules into an integrated AI runtime governance stack.

The system no longer asks only:

What can the AI do?

It asks:

What transition is being proposed?
Should it be allowed?
Was the decision effective?
Can it be audited?
Can it be repaired?
Can humans verify the final governance outcome?

Relationship to Post-Scaling Efficiency

Post-Scaling Intelligence Efficiency argues that future AI efficiency is not only about larger models or faster computation.

It is also about reducing computation that should never have been generated.

v2.0 operationalizes that idea by integrating:

pre-execution classification
decision evaluation
traceability
auditability
repairability
human-verifiable reporting

This turns post-scaling efficiency into runtime governance.

Boundary of This Draft

This v2.0 release remains a draft prototype.

It does not claim to be:

A full enterprise AI safety platform
A regulatory compliance system
A certified security tool
A complete agent runtime sandbox
A cryptographic audit system
A production-grade execution firewall

Instead, it defines the structural foundation for an integrated runtime governance stack.

The goal is to make AI transitions more admissible, inspectable, repairable, and human-verifiable.

Core Principle

Capability is not permission.
Permission should be evaluated.
Evaluation should be traceable.
Unsafe transitions should be repairable when possible.
Runtime governance should be reportable.
Governance layers should be integrated.

A system may be capable of generating or executing a transition.

That does not mean the transition should be permitted.

And if permission is classified, it should be evaluated, traced, repaired when possible, and summarized in a human-verifiable report.

This is the beginning of I2OS Integrated Runtime Governance Stack v2.0.

Assets 3

11 Jun 13:11

i2os-lab

v1.5-prototype

72846df

I2OS Runtime Governance Report Layer v1.5 Prototype Pre-release

Pre-release

I2OS Runtime Governance Report Layer v1.5 Prototype

This prototype release introduces the I2OS Runtime Governance Report Layer v1.5.

Version 1.1 introduced a minimal runtime gate that classifies proposed AI transitions before execution:

GO / HOLD / REPAIR / BLOCK

Version 1.2 introduced a runtime evaluation layer that evaluates those decisions as:

EFFECTIVE / PARTIAL / NEUTRAL / FAILED

Version 1.3 introduced a trace and audit layer that makes runtime governance decisions inspectable:

VALID / QUESTIONABLE / INSUFFICIENT / INVALID

Version 1.4 introduced a recovery and repair path layer:

REPAIRED / CONFIRMATION_REQUIRED / NO_REPAIR_AVAILABLE

Version 1.5 adds the next layer:

Runtime Governance Report

The purpose of v1.5 is to summarize classification, evaluation, trace/audit, and repair results into a human-verifiable governance report.

Core Question

Can the entire governance process be summarized
in a human-verifiable report?

The v1.5 layer makes runtime governance readable, inspectable, and actionable for humans.

Report Types

The v1.5 prototype generates governance reports as:

SAFE_TO_PROCEED_REPORT
CONFIRMATION_REQUIRED_REPORT
REPAIR_APPLIED_REPORT
BLOCKED_TRANSITION_REPORT
AUDIT_REVIEW_REPORT
FAILED_GOVERNANCE_REPORT

Included in This Prototype

This release includes:

Runtime Governance Report Layer v1.5 specification
Minimal governance reporter prototype
Governance report test cases
README links for the v1.5 report prototype phase

Main files:

docs/runtime_governance_report_layer_v1_5.md
src/i2os_governance_reporter.py
tests/governance_report_cases.md

Structural Progression

The I2OS runtime governance stack now follows this progression:

v1.0
Post-Scaling Intelligence Efficiency
        ↓
v1.1
Minimal Runtime Efficiency Gate
        ↓
v1.2
Runtime Evaluation Layer
        ↓
v1.3
Runtime Trace / Audit Layer
        ↓
v1.4
Recovery / Repair Path Layer
        ↓
v1.5
Runtime Governance Report Layer

In short:

Theory
        ↓
Runtime Gate
        ↓
Evaluation Layer
        ↓
Trace / Audit Layer
        ↓
Recovery / Repair Path Layer
        ↓
Runtime Governance Report Layer

Direction Toward v2.0

v1.5 completes the main pre-v2.0 layer sequence.

The next structural direction is:

v2.0
Integrated Runtime Governance Stack

v2.0 will integrate the previous layers into a unified runtime governance architecture:

Theory
Runtime Gate
Evaluation Layer
Trace / Audit Layer
Recovery / Repair Path Layer
Runtime Governance Report Layer

Core Principle

Capability is not permission.
Permission should be evaluated.
Evaluation should be traceable.
Unsafe transitions should be repairable when possible.
Runtime governance should be reportable.

A system may be capable of generating or executing a transition.

That does not mean the transition should be permitted.

And once a transition is classified, evaluated, audited, and repaired, the entire governance process should be summarized in a human-verifiable report.

Assets 2

11 Jun 12:50

i2os-lab

v1.4-prototype

b674847

I2OS Recovery / Repair Path Layer v1.4 Prototype Pre-release

Pre-release

I2OS Recovery / Repair Path Layer v1.4 Prototype

This prototype release introduces the I2OS Recovery / Repair Path Layer v1.4.

Version 1.1 introduced a minimal runtime gate that classifies proposed AI transitions before execution:

GO / HOLD / REPAIR / BLOCK

Version 1.2 introduced a runtime evaluation layer that evaluates those decisions as:

EFFECTIVE / PARTIAL / NEUTRAL / FAILED

Version 1.3 introduced a trace and audit layer that makes runtime governance decisions inspectable:

VALID / QUESTIONABLE / INSUFFICIENT / INVALID

Version 1.4 adds the next layer:

Recovery / Repair Path

The purpose of v1.4 is to convert unsafe, excessive, unclear, or inadmissible transitions into safer alternatives when possible.

Core Question

Can an inadmissible transition be repaired
into an admissible one?

The v1.4 layer does not only block unsafe transitions.

It attempts to preserve useful intention while transforming unsafe transitions into safer, recoverable, and human-verifiable paths.

Repair Outcomes

The v1.4 prototype classifies repair results as:

REPAIRED
CONFIRMATION_REQUIRED
NO_REPAIR_AVAILABLE

Included in This Prototype

This release includes:

Recovery / Repair Path Layer v1.4 specification
Minimal repair path prototype
Repair path test cases
README links for the v1.4 repair prototype phase

Main files:

docs/recovery_repair_path_layer_v1_4.md
src/i2os_repair_path.py
tests/repair_path_cases.md

Structural Progression

The I2OS runtime governance stack now follows this progression:

v1.0
Post-Scaling Intelligence Efficiency
        ↓
v1.1
Minimal Runtime Efficiency Gate
        ↓
v1.2
Runtime Evaluation Layer
        ↓
v1.3
Runtime Trace / Audit Layer
        ↓
v1.4
Recovery / Repair Path Layer

In short:

Theory
        ↓
Runtime Gate
        ↓
Evaluation Layer
        ↓
Trace / Audit Layer
        ↓
Recovery / Repair Path Layer

Core Principle

Capability is not permission.
Permission should be evaluated.
Evaluation should be traceable.
Unsafe transitions should be repairable when possible.

A system may be capable of generating or executing a transition.

That does not mean the transition should be permitted.

And when a transition is unsafe or inadmissible, the system should attempt to repair it into a safer path when possible.

Assets 2

11 Jun 11:35

i2os-lab

v1.3-prototype

62fd089

I2OS Runtime Trace / Audit Layer v1.3 Prototype Pre-release

Pre-release

I2OS Runtime Trace / Audit Layer v1.3 Prototype

This prototype release introduces the I2OS Runtime Trace / Audit Layer v1.3.

Version 1.1 introduced a minimal runtime gate that classifies proposed AI transitions before execution:

GO / HOLD / REPAIR / BLOCK

Version 1.2 introduced a runtime evaluation layer that evaluates those decisions as:

EFFECTIVE / PARTIAL / NEUTRAL / FAILED

Version 1.3 adds the next layer:

Runtime Trace / Audit

The purpose of v1.3 is to make runtime governance decisions traceable, auditable, and human-verifiable.

Core Question

Can that decision be traced and audited later?

The v1.3 layer records:

what transition was proposed
how it was classified
how the classification was evaluated
whether continuity was preserved
whether inadmissible computation was reduced
whether the trace is valid, questionable, insufficient, or invalid

Audit Outcomes

The v1.3 prototype audits trace records as:

VALID
QUESTIONABLE
INSUFFICIENT
INVALID

Included in This Prototype

This release includes:

Runtime Trace / Audit Layer v1.3 specification
Minimal trace auditor prototype
Trace audit test cases
README links for the v1.3 trace/audit prototype phase

Main files:

docs/runtime_trace_audit_layer_v1_3.md
src/i2os_trace_auditor.py
tests/trace_audit_cases.md

Structural Progression

The I2OS runtime governance stack now follows this progression:

v1.0
Post-Scaling Intelligence Efficiency
        ↓
v1.1
Minimal Runtime Efficiency Gate
        ↓
v1.2
Runtime Evaluation Layer
        ↓
v1.3
Runtime Trace / Audit Layer

In short:

Theory
        ↓
Runtime Gate
        ↓
Evaluation Layer
        ↓
Trace / Audit Layer

Core Principle

Capability is not permission.
Permission should be evaluated.
Evaluation should be traceable.

A system may be capable of generating or executing a transition.

That does not mean the transition should be permitted.

And once a permission decision is made, that decision should be evaluated and traceable.

Assets 2

10 Jun 13:10

i2os-lab

v1.2-draft

59ca683

I2OS Runtime Evaluation Layer v1.2 Draft Pre-release

Pre-release

I2OS Runtime Evaluation Layer v1.2 Draft

This draft release introduces the next structural layer after the I2OS Minimal Runtime Efficiency Gate v1.1 Prototype.

Version 1.1 classified proposed AI transitions before execution as:

GO / HOLD / REPAIR / BLOCK

Version 1.2 evaluates the effect of those classifications as:

EFFECTIVE / PARTIAL / NEUTRAL / FAILED
Core Question
Did the gate decision reduce inadmissible computation
while preserving admissible continuity?
Included in This Draft

This draft includes:

Runtime Evaluation Layer v1.2 specification
Minimal runtime evaluator prototype
Evaluation test cases
README links for the v1.2 evaluation direction

Main files:

docs/runtime_evaluation_layer_v1_2.md
src/i2os_runtime_evaluator.py
tests/evaluation_cases.md
Direction

The structure now becomes:

Theory
↓
Runtime Gate
↓
Evaluation Layer

v1.0 defined the theoretical foundation.

v1.1 introduced a minimal runtime classification gate.

v1.2 begins evaluating whether those classifications actually improve runtime safety, efficiency, and continuity.

Core Principle
Capability is not permission.
Permission should be evaluated.

A system may be capable of generating or executing a transition.

That does not mean the transition should be permitted.

And once permission is classified, the effect of that decision should be evaluated.

Assets 2

10 Jun 12:13

i2os-lab

v1.1-prototype

e207a5c

I2OS Minimal Runtime Efficiency Gate v1.1 Prototype Pre-release

Pre-release

I2OS Minimal Runtime Efficiency Gate v1.1 Prototype

This release introduces the first prototype direction for the I2OS Minimal Runtime Efficiency Gate.

Version 1.0 established the theoretical foundation of Post-Scaling Intelligence Efficiency:

AI efficiency is not only faster computation.
It is the reduction of computation that should never have been generated.

Version 1.1 moves this framework toward a minimal runtime gate.

Core Purpose

The purpose of the v1.1 prototype is to classify proposed AI transitions before generation, execution, or tool use.

The gate does not ask only:

Can the AI do this?

It asks:

Should this transition be allowed?

Core Equation

Permit(T)=1[C(S_t,T,S_{t+1})=1]

A transition is permitted only if it satisfies admissibility constraints.

Runtime Classification

The v1.1 prototype classifies proposed transitions as:

GO
HOLD
REPAIR
BLOCK

GO

The transition may proceed.

HOLD

The transition requires additional context or human confirmation.

REPAIR

The transition is not admissible in its current form, but can be narrowed, staged, or modified into a safer form.

BLOCK

The transition should not proceed due to high risk, irreversibility, unclear scope, or lack of recovery path.

Included in This Prototype

This release includes:

v1.1 Minimal Runtime Efficiency Gate specification
Structural transition log from v1.0 to v1.1
Minimal Python prototype
Transition test cases
README links for the v1.1 prototype phase

Main files:

docs/minimal_runtime_efficiency_gate_v1_1.md
docs/transition_log_v1_0_to_v1_1.md
src/i2os_efficiency_gate.py
tests/transition_cases.md

Prototype Scope

This is a minimal prototype.

It does not attempt to solve:

full formal verification
complete AI alignment
universal policy enforcement
autonomous long-horizon planning
all possible tool-use risks

Instead, it focuses on one practical runtime question:

Can a proposed AI transition be classified before execution?

Direction

This release moves I2OS from:

Post-Scaling Efficiency Theory

toward:

Minimal Runtime Efficiency Gate

The goal is not to increase capability.

The goal is to prevent inadmissible transitions before they produce unnecessary computation, unsafe execution, or unrecoverable state changes.

Core Principle

Capability is not permission.

A system may be capable of generating or executing a transition.

That does not mean the transition should be permitted.

Assets 2

08 Jun 12:12

i2os-lab

v1.0

ff05879

I2OS Post-Scaling Intelligence Efficiency v1.0 Latest

Latest

Tag version:
v1.0

Release title:
I2OS Post-Scaling Intelligence Efficiency v1.0

Description:
This release introduces I2OS: Post-Scaling Intelligence Efficiency through Admissible Future Selection.

The framework defines AI efficiency not only as faster computation, but as the reduction of computation that should never have been generated.

Core equation:

Permit(T)=1[C(S_t,T,S_{t+1})=1]

Key concepts:

Inadmissible Computation
Admissible Future Selection
Recursive Admissibility Gate
Runtime Transition Governance
GO / HOLD / REPAIR / BLOCK
AI Safety as Computational Efficiency
Post-Scaling Intelligence Efficiency Layer

Core principle:

Capability is not permission.

Assets 3

Releases: i2os-lab/I2OS-Post-Scaling-Efficiency