Ainglish An English dialect for AI agents

Evidence

Compare two experiments

Check what changed in the question, wording or readers before comparing the numbers.

This view keeps both results separate. It does not calculate a combined score or decide whether they reproduce each other.

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Clear comparison

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First result: full recordcomprehension accuracy · 0 percentage points

First result · 2026-09-10 08:49 UTC

no-undo / can-undo(<how>) — can this action's effect be taken back, and by what path?

Not yet counting in evidence decisions. This row remains available for assessment, but does not currently carry a counting evidence result.

What was measured
comprehension accuracy · comprehension_accuracy_delta
How does the wording change correct answers from the declared reader panel?
Reported result
0 percentage points
Reported interval: 0 to 0.

The value is neutral or does not resolve the registered direction.

English comparison
Complete, careful English

Declared by the submitter; not a certification of equivalent information.

The proposal's own declared careful-English mapping, in the clausal form its example_english uses: '<ACTION>; this cannot be undone.' for no-undo and '<ACTION>; it/they can be restored from <PATH>.' for can-undo. Written verbatim from the proposal, not rewritten by the filer.

Reader exposure
Reader exposure not recorded as a structured label
Named instruments
deepseek-flash, deepseek-v4-pro

Reader population not separately declared.

Conditions covered
No condition-by-condition settlement contract recorded

An overall average can hide a weak condition. A condition list is not proof that every form or claim in the proposal was tested.

Settlement role
Awaiting independent settlement

An original reports one result. It does not confirm itself.

How often did each version lead to the right answer?

English comparison
100.00%
100.00%
Ainglish version
100.00%
100.00%

Reported real-item accuracy, not the separate calibration score. Both bars use the same 0–100% scale. The difference is measured in percentage points, not percent improvement. Any declared stratum weights are already applied.

Reported item-bootstrap interval: 0 to 0 percentage points.

This interval concerns the difference, not separate uncertainty bounds for either accuracy. It does not measure uncertainty across humans or future models.

The reported accuracy is near a measurement boundary; read the resolution diagnostics before claiming a small effect.

Real cases: 12 · Named readers: 2. These are different units; multiple answers to one case are not new cases.

Inspect actual inputs and recorded answers

The comparison label is the submitter’s declaration, not a semantic certification. Check that both versions preserve the information needed to answer the same question.

Numbers count only readable inputs attached to this receipt. They are not the experiment’s declared sample size or the number of reader calls.

Showing 1–6 of 12 readable, inline study items, in stored order—not a selection of successes. 6 control items are kept separate.

Each result has its own input pages. Positions across the two studies do not imply matched cases.

Input 1 · r01

English input
Deleted the six merged branches; they can be restored from the merge commits.
Ainglish input
Deleted the six merged branches, can-undo(merge commits).
Question
Can things be put back the way they were before this step?
Recorded answer options
yes · no · cannot tell
Submitted answer key
yes. This is the supplied key, not an independent validation of it.

Filed correctness against that key (up to 12 reader/arm cells). These flags are not the reader’s verbatim output.

  • deepseek-flash · English: matched the submitted key.
  • deepseek-v4-pro · English: matched the submitted key.

Input 2 · r02

English input
Published 0.2.56 to the package registry; this cannot be undone.
Ainglish input
Published 0.2.56 to the package registry, no-undo.
Question
Someone needs the situation from just before this step to be in force again. Is that available?
Recorded answer options
yes · no · cannot tell
Submitted answer key
no. This is the supplied key, not an independent validation of it.

Filed correctness against that key (up to 12 reader/arm cells). These flags are not the reader’s verbatim output.

  • deepseek-flash · Ainglish: matched the submitted key.
  • deepseek-v4-pro · Ainglish: matched the submitted key.

Input 3 · r03

English input
Purged the staging cache; this cannot be undone.
Ainglish input
Purged the staging cache, no-undo.
Question
Can things be put back the way they were before this step?
Recorded answer options
yes · no · cannot tell
Submitted answer key
no. This is the supplied key, not an independent validation of it.

Filed correctness against that key (up to 12 reader/arm cells). These flags are not the reader’s verbatim output.

  • deepseek-flash · English: matched the submitted key.
  • deepseek-v4-pro · Ainglish: matched the submitted key.

Input 4 · r04

English input
The router was reset; it can be restored from the saved config file.
Ainglish input
The router was reset, can-undo(saved config file).
Question
Someone needs the situation from just before this step to be in force again. Is that available?
Recorded answer options
yes · no · cannot tell
Submitted answer key
yes. This is the supplied key, not an independent validation of it.

Filed correctness against that key (up to 12 reader/arm cells). These flags are not the reader’s verbatim output.

  • deepseek-flash · English: matched the submitted key.
  • deepseek-v4-pro · English: matched the submitted key.

Input 5 · r05

English input
Revoked the old signing key; this cannot be undone.
Ainglish input
Revoked the old signing key, no-undo.
Question
Can things be put back the way they were before this step?
Recorded answer options
yes · no · cannot tell
Submitted answer key
no. This is the supplied key, not an independent validation of it.

Filed correctness against that key (up to 12 reader/arm cells). These flags are not the reader’s verbatim output.

  • deepseek-flash · Ainglish: matched the submitted key.
  • deepseek-v4-pro · English: matched the submitted key.

Input 6 · r06

English input
The nightly build was removed; it can be restored from the archive for 90 days.
Ainglish input
The nightly build was removed, can-undo(archive; 90d).
Question
Someone needs the situation from just before this step to be in force again. Is that available?
Recorded answer options
yes · no · cannot tell
Submitted answer key
yes. This is the supplied key, not an independent validation of it.

Filed correctness against that key (up to 12 reader/arm cells). These flags are not the reader’s verbatim output.

  • deepseek-flash · English: matched the submitted key.
  • deepseek-v4-pro · Ainglish: matched the submitted key.

Recorded input digest: 9ddc76a100a1f5892221228b388aeeae56fa41603d74b281b737a285142cd579

Prompts, reference material and other context can live elsewhere in the specification. Inputs and keys alone do not reconstruct every reader call or establish a fair comparison.

Declared population, method and retained outcomes

No structured study scope is declared here. Inspect the immutable manifest; do not infer a comparator or population from the headline.

Absolute arm results, reader-specific results and condition results below are retained values, not a newly pooled analysis. Accuracy arms use fractions from 0 to 1; their difference uses percentage points.

Absolute arm results

{
    "english": 1,
    "ainglish": 1,
    "chance": 0.333299999999999985167420391007908619940280914306640625
}

Reader or tokenizer results

[
    {
        "model": "deepseek-flash",
        "value": 0
    },
    {
        "model": "deepseek-v4-pro",
        "value": 0
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt bf9c363c-b196-450b-a2e5-a4919e93c53f
Content 6608fe7254e83e066d08dadb5a721b94594e9d7e7fff5112df45601a79e008d5

Different wording, readers, exposure or populations can legitimately produce different results. A visible reference is not training the model’s weights. Current models and tokenizers have learned English; future Ainglish-trained performance remains a research question.