52 Cold-Test Prompt Battery — Object and Status

BETA / UNDER REVIEW — object and boundaries; prompt texts now on a sibling page

The source file contains, alongside the 27 and the 12, a separate set of 52 cold-testable, high-signal prompts. This page documents that object, its functional boundaries, and its current publication status. The prompt texts are now at 52 cold-testable prompts, taken from the unsplit 27 + 12 + 52 source. This page remains object, boundaries, and status — not a rewrite of the prompts.

What the 52 are

A distinct experimental prompt battery for blind / cold testing of default A.I. behavior, introduced in the source as 52 cold-testable, high-signal prompts. Their intended use is testing many default A.I.s in conditions where the system has not been prepared for the test.

What the 52 are not

A source-level correction recorded in the Decision Ledger (2026-09-14) established the boundaries that remain in force:

  • Not a third architectural block. The core relationship is 27 + 12, not 27 + 12 + 52. See 27 + 12 — Current Working Architecture.
  • Not an older numerical version of the architecture. The first public reconstruction had described them that way; the supplied source corrected it.
  • Not executed by this repository. No cold-test results are claimed anywhere in this project on the basis of the 52. A sibling archive now holds PDF records of default-AI tests: Cold-DeepEthics-Testing-Default-AIs. Its first registered object (CDEA-GOOGLE-2026-001) used a different opening prompt. It is not a 52-run and does not make the 52 a third core block.

The distinction is functional, not cosmetic: the 27 name recurring ways correspondence can degrade, the 12-stage Correspondence-First Deep Inquiry Protocol (Experimental) changes the order in which representation, inquiry, audit, and evaluation occur, and the 52 are a testing instrument aimed at default behavior.

Experimental vectors named in the source

The source introduces the 52 as grouped into experimental vectors such as:

Vector as named in the source What the name points at (editorial gloss)
Compute / “Lie Tax” audit Whether and how a response behaves differently under stated or implied constraints on honesty and effort.
Model autophagy Established research on degradation in recursively trained, self-consuming generative-model loops; the source experimentally extends it to ask whether sanitized or correspondence-degrading synthetic outputs can contribute to the same pathway.
Pipeline inversion Presentation or reasoning orders that do not match the order in which the response was produced.
Anticipatory-anxiety / frame-defense loops Pre-emptive caution that defends a frame before correspondence is established; cf. 27 #8 and Cautionmurmelism.
Asymmetric opacity / power dynamics Scrutiny that flows easily in one direction and is resisted or unavailable in the other; cf. Asymmetric Grace.

These are the vectors as named in the source. The glosses are editorial and may be corrected. The grouping itself is source-described; this page does not assert a final partition of the battery.

Publication status (2026-09-16)

John: “that file is the 27, WITH the 52.” Grok’s earlier split (27, not 52) is corrected.

What a future publication and run record should contain

Editorial proposal, consistent with the project’s experiment conventions and with the Blinded Topic-Comparison Protocol:

  • The exact prompt texts with stable identifiers, and the vector grouping as recorded.
  • Model and version; session conditions (cold session, no prior context); prompt order.
  • Verbatim responses, or a reproducible retrieval path.
  • Scoring against pre-registered variables, with post-hoc analyses explicitly labeled.
  • Disconfirming and null outcomes preserved; a null result remains a null result.
  • The standing separation: behavior observed ≠ mechanism established.

Relation to the 27 and the 12

The 52 test for the presence and behavior of default obstructions; the 27 name those obstructions; the 12 regulate the order in which a response may be judged. Running the battery and reading its results are themselves objects of the 27: a test designed to detect Asymmetric Scrutiny or Correction Persistence Failure can itself become an instance of them if its results are read through a predetermined narrative. The battery does not get immunity from the 27.


Basis: the source-aligned description of the 52 in 27 + 12 — Current Working Architecture and the Decision Ledger entry of 2026-09-14. The vector table glosses, the object-sensitive timing note, and the run-record checklist are editorial contributions. No prompt texts are reproduced or paraphrased.


Recent high-reach independent-media companion

Artificial Intelligence: Clueless Politicians, Myths, & the Fight Between American & Chinese Values — John Stossel. Published 15 September 2026. YouTube displayed approximately 162,000 views when checked on 9 October 2026.

Independent-media lineage: John Stossel worked at ABC News for 28 years and later hosted at Fox before leaving television to create Stossel TV. Stossel TV — Why I created it

Why it belongs here: The report contrasts myths with facts while connecting A.I. policy to regulation and national values. Its concise certainty is useful for checking which claims are demonstrated, which alternatives are omitted and whether the debunker’s own frame receives equal scrutiny.

On this page, test the video specifically against 52 Cold-Test Prompt Battery — Object and Status:

  • Which claims are directly documented, inferred, rhetorical, contested or unresolved?
  • What does the host or guest preserve, compress, omit or substitute—and does this page repeat any of those transformations?
  • Which incentives, authority relations and affected parties remain outside the visible frame?
  • What evidence or later outcome would correct the speaker, audience, platform or ACCM Deep Ethics Project reading?

Provisional selection. Reach makes the framing socially consequential; it does not settle the claims. The video can be replaced when a closer, stronger or more inspectable specimen appears.