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Research · Corrections and freshness

Corrections and freshness register

Credibility requires visible correction, not silent replacement. This register preserves what earlier strategy material said, records the current public language, and links the official source that supports the change.

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Why publish a corrections register?

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Machine-intelligence guidance ages quickly. A corrections register shows which earlier wording is superseded, clarified, or bounded; what the current language should be; when the change was recorded; and which official source supports it. This prevents retrieval systems and human readers from treating preserved strategy reports as current authoritative guidance.

  • Corrections remain linked to the historical source rather than erasing it.
  • Current canonical pages should use the corrected language.
  • Legal, regulatory, standard, protocol, and product changes still require ongoing review.

Source basis: reviewed official references are listed on this page and in the source ledger. Interpretation and implementation guidance retain the stated assurance boundary.

Recorded changes

Current corrections and clarifications

Open the JSON registry for full wording, affected source IDs, and reference IDs.

RecordEarlier issueCurrent public languageStatus
Federal AI policyM-24-10 treated as current.M-25-21, issued 2025-04-03, rescinds and replaces M-24-10.Corrected
EU AI Act timetableA single August 2026 deadline implied across obligations.Use the Commission overview and July 2026 Omnibus update; state dates with exact scope.Corrected
NIST AI RMFAI RMF 1.0 could be read as static.AI RMF 1.0 is the published core version and NIST says it is being revised.Clarified
MCP version and scopeMCP described generically or too close to a full control plane.Reviewed version is 2026-07-28; governance, evaluation, authority, and recovery remain separate.Clarified
OpenTelemetry scopeTelemetry could be read as complete evaluation or observability governance.Telemetry is an evidence transport and semantic layer; correctness and policy still require explicit design.Clarified
Standards claimsAlignment language risked implying certification.Mapping is alignment; certification and assurance require the applicable formal process.Clarified
Strategy statisticsMixed-source statistics risked becoming first-party claims.Report-derived market claims require independent primary-source verification and an as-of date.Boundary reinforced

Primary-source basis

Official source ledger

Each record includes publisher, source type, status, reviewed date, summary, and use boundary.

Executive Office of the President, Office of Management and Budget · Official Federal Policy

OMB Memorandum M-25-21

Federal agency guidance issued April 3, 2025, that rescinds and replaces OMB Memorandum M-24-10 and establishes requirements for agency AI innovation, governance, transparency, and high-impact AI risk management.

Status
Current
Published
2025-04-03
Reviewed
2026-08-01

Use boundary: Applies to covered federal agency use; it is not a universal private-sector compliance standard.

Open official source

European Commission · Official Regulatory Overview

EU AI Act regulatory framework overview

The European Commission's overview of the AI Act, its risk-based framework, application stages, and implementation resources.

Status
Current
Reviewed
2026-08-01

Use boundary: This is general information, not legal advice; confirm which obligations and dates apply to a specific system and role.

Open official source

European Commission · Official Regulatory Update

AI Omnibus enters into force

The Commission's July 2026 update on the AI Omnibus and amended timing for parts of the AI Act implementation timetable.

Status
Current
Published
2026-07-27
Reviewed
2026-08-01

Use boundary: Use the amended dates rather than older summaries; obtain legal advice for application to a specific organization or system.

Open official source

National Institute of Standards and Technology · Official Resource Center

NIST AI Resource Center

NIST's resource center for the AI RMF, profiles, crosswalks, playbook material, use cases, and revision notices.

Status
Current
Reviewed
2026-08-01

Use boundary: Use this hub to confirm freshness before publishing time-sensitive NIST statements.

Open official source

National Institute of Standards and Technology · Official Framework

Artificial Intelligence Risk Management Framework (AI RMF 1.0)

The AI RMF 1.0 core framework organizes voluntary AI risk-management outcomes around Govern, Map, Measure, and Manage.

Status
Current Version Under Revision
Published
2023-01-26
Reviewed
2026-08-01

Use boundary: Verify the NIST revision status before describing 1.0 as the latest stable framework.

Open official source

Model Context Protocol · Official Protocol Specification

Model Context Protocol Specification — 2026-07-28

The reviewed MCP specification defines an open protocol for connecting language-model applications with contextual resources, prompts, and tools through host, client, and server roles.

Status
Current Reviewed Version
Published
2026-07-28
Reviewed
2026-08-01

Use boundary: MCP is an interoperability protocol, not a complete agentic control plane, governance program, or security guarantee.

Open official source

OpenTelemetry · Official Specification Hub

OpenTelemetry semantic conventions for generative AI systems

Official semantic-convention material for interoperable telemetry describing generative AI operations.

Status
Evolving
Reviewed
2026-08-01

Use boundary: Record the exact convention version implemented because names and stability levels can evolve.

Open official source

International Organization for Standardization · Official Standard Page

ISO/IEC 42001:2023 — AI management systems

Requirements and guidance for establishing, implementing, maintaining, and continually improving an AI management system within an organization.

Status
Current
Published
2023-12
Reviewed
2026-08-01

Use boundary: Do not claim certification unless an accredited audit and certification process has been completed.

Open official source

International Organization for Standardization · Official Standard Page

ISO/IEC 42006:2025 — bodies providing audit and certification of AI management systems

Requirements intended to support consistent and credible audit and certification of AI management systems against ISO/IEC 42001.

Status
Current
Published
2025
Reviewed
2026-08-01

Use boundary: This standard concerns certification bodies; it is not itself an organizational certification.

Open official source

Official-source citations establish provenance and scope. They do not establish LongTermIntelligence.com certification, endorsement, legal advice, client outcomes, or a guarantee that a control is effective.

Machine-readable register

Inspect the correction records

The JSON file preserves full earlier and corrected language.

JSON

Corrections registry

Seven correction and clarification records with affected source IDs and supporting references.

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Templates are planning aids. They are not certifications, legal advice, security guarantees, or substitutes for client-specific validation.

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