CIVILIZATION LEAP · PUBLIC RESEARCH

What entitles a model to turn information into action, and how should capability, assurance, authorization and evidence of subjecthood be distinguished?

Professional inquiry into model capability, system assurance and authority to act in the world.

Full manuscripts and versions

Author-authorized full-text publication. Downloads below are separately verified files; website summaries are not manuscript translations. Publication restrictions printed in older source manuscripts are superseded by the author’s release decision of 16 October 2026; the academic text itself is unchanged.

The available Chinese independent-publication edition is V1.3. The earlier registered Canonical version V1.1 remains a historical identity, not the version of this new PDF. The professional web explanation retains its own source version.

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English summary and versioned full-text downloads

All disciplines · Cross-disciplinary scrutiny

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Reason within the discipline first

Model capability → a system formed by configurations, tools, permissions and organizations → open-world evaluation and property-specific assurance → effective human control → real-world action chains → layered reversibility and recovery → lifecycle permissions, reduced intervention, retirement and low-technology backups.

What this work can establish

Distinguish model and system as objects of assessment; examine open-world evaluation, limits of formal methods, the seven effective-control requirements and lifecycle engineering.

What it cannot establish

Technical properties can be established within their own scope. Rights, authorization, legitimacy, subjecthood and civilizational purposes require a new handover of responsibility.

Where the discipline reaches its limit

Model scores, formal proofs and a human in the loop do not automatically establish system safety, effective control, institutional authorization or sovereignty over action.

Who must take up the next responsibility

Systems science, political and legal inquiry, epistemology, Human-COS/AGI-COS, and applied fields such as medicine and education must take up their own factual responsibilities.

What the wider view reveals

Computation can extend civilization’s capacity to act. Capability, permissions, responsibility, exit and real-world repair must nevertheless be assessable together.

How this work can change the causal map

S = professional support; L = limit; I = interface; R = refutation or revision trigger. This is not a list of proofs of the theory. The table links to English node summaries. The individual English public node explanations are also available: M1 · M2 · M3 · M4 · M5 · M6 · M7 · M8.

NodeRelationProfessional responsibility
M1 summaryIInterface only; this page does not settle M1.
M2 summarySThe AGI turning point first concerns changes in capability and action chains.
M3 summaryS/LSpeed, autonomy and high-consequence execution must be distinguished from real-world irreversibility.
M4 summaryLGreater capability cannot automatically determine civilizational direction.
M5 summarySPermissions, effective control, reduced intervention, retirement and low-technology backups.
M6 summaryS/REvaluation, testing, verification and validation, reversibility, recovery and exit directly belong to validation.
M7 summaryS/LApplied disciplines must demonstrate the consequences of technology entering everyday life.
M8 summaryLComputation cannot determine civilization’s purposes or meaning.

Competing explanations and revision

Academic work does not serve as an endorsement. Evidence can support, limit, refute or require the upstream theory to be rewritten.

Other possible explanations

Formal assurance, treating AI as a tool, strict separation of permissions and mature deployment controls may substantially reduce the jump in risk from greater capability to loss of control in practice.

What to revise first if evidence does not support the argument

If formal assurance and deployment controls reliably cover major failure modes across broad environments, strengthen the account of their safety contribution. If out-of-distribution, interaction or responsibility-chain failures recur, reduce it.

What is still needed before real-world application

Model capability and assurance do not constitute real-world authorization. Action also requires the applicable jurisdiction, responsible actors, stopping conditions and audit boundaries.

What would change this work

Redesign the framework if assurance or control indicators fail to predict real consequences, or if new architectures change the capability-to-action chain.

Continue the inquiry

Bring evidence, a counterexample, a replication or a better path

Publication and version records do not establish academic correctness

FieldRecorded source information
Current public-page statusSUBMISSION_STATUS_UNVERIFIED
Portal actionCURRENT_PORTAL_STATUS_UNVERIFIED
Web publication modeAUTHOR_AUTHORIZED_FULLTEXT + HISTORICAL_PROVENANCE
Publication boundaryThe source requires checking public history, first-publication, preprint and AI policies for each target journal. Do not newly publish submission-derived full text.
Evidence date27 August 2026 governance baseline
Confidence in publication-state evidenceMEDIUM
Source versionV1.1
Exact source-basis recordDIRECT CURRENT · V1.1

These are the existing public records, not a new verification of submission status. View manuscript identity and full texts.

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Source and reading scope

This page translates the existing public web explanation, not an unpublished manuscript. Its source is the Chinese public page in the saved main baseline 43ef8de. Linked works retain their own publication boundaries. Chinese source page.