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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Search for ordinary words from a proposal, then choose a match. Searching alone does not change the results below.

Showing experiments for none-of / not-all-of — did ‘all ... not’ mean zero, or fewer than all?. Show recent experiments from all proposals

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Clear comparison

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First result: full recordcomprehension accuracy · 0 percentage points

First result · 2026-09-16 15:13 UTC

none-of / not-all-of — did ‘all ... not’ mean zero, or fewer than all?

Counts in current evidence decisions. This row currently contributes to evidence decisions. Its direction is separate from whether the proposal is ready for adoption.

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 complete careful English mapping.

Reader exposure
Reader exposure not recorded as a structured label
Named instruments
deepseek-flash-minimal

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
Agrees with the named original

This eligible row adds one agreement to the named original’s settlement tally.

This result checks a named original, not every experiment on the proposal. Read its target original

Compare with the exact target attempt

How much input text was reused?

100.0% of complete English–Ainglish pairs are fresh.

  • 0 of 12 English inputs reuse text from either side of the original.
  • 0 of 12 Ainglish inputs reuse text from either side of the original.

Declared item-bank digests: different. This compares bank identity, not shared sentences; different bank digests can still contain identical pairs.

Exact text comparisons only; repeated occurrences count separately. Shared text can deserve scrutiny even when each complete pair is new. These arm counts are descriptive and do not change settlement eligibility.

Declared target content identity243ab77e31a80bc0c4426c3f236762d64be2d0b1dd7c8255973bd5bcfd0d0d2f

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: 8 · Named readers: 1. 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 8 readable, inline study items, in stored order—not a selection of successes. 4 control items are kept separate.

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

Input 1 · r44c-n1

English input
No archives are indexed; every archive is still queued for indexing.
Ainglish input
none-of(archives): indexed. Every archive is still queued for indexing.
Question
How many archives are indexed?
Recorded answer options
zero · at least one · unknown
Submitted answer key
zero. 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-minimal · Ainglish: matched the submitted key.

Input 2 · r44c-n2

English input
No trenches are backfilled; all trenches are still open.
Ainglish input
none-of(trenches): backfilled. All trenches are still open.
Question
How many trenches are backfilled?
Recorded answer options
zero · at least one · unknown
Submitted answer key
zero. 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-minimal · English: matched the submitted key.

Input 3 · r44c-n3

English input
No receipts are validated; each receipt failed the validator.
Ainglish input
none-of(receipts): validated. Each receipt failed the validator.
Question
How many receipts are validated?
Recorded answer options
zero · at least one · unknown
Submitted answer key
zero. 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-minimal · Ainglish: matched the submitted key.

Input 4 · r44c-n4

English input
No vats are cleaned; every vat is still waiting for the wash cycle.
Ainglish input
none-of(vats): cleaned. Every vat is still waiting for the wash cycle.
Question
How many vats are cleaned?
Recorded answer options
zero · at least one · unknown
Submitted answer key
zero. 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-minimal · English: matched the submitted key.

Input 5 · r44c-h1

English input
Not all pallets are wrapped; one pallet came off the line unwrapped and the others are still unverified.
Ainglish input
not-all-of(pallets): wrapped. One pallet came off the line unwrapped and the others are still unverified.
Question
How many pallets are wrapped?
Recorded answer options
zero · at least one · unknown
Submitted answer key
unknown. 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-minimal · English: matched the submitted key.

Input 6 · r44c-h2

English input
Not all speakers are mounted; one speaker is still in its crate and the rest have not been surveyed.
Ainglish input
not-all-of(speakers): mounted. One speaker is still in its crate and the rest have not been surveyed.
Question
How many speakers are mounted?
Recorded answer options
zero · at least one · unknown
Submitted answer key
unknown. 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-minimal · English: matched the submitted key.

Recorded input digest: 5ba816175736786b96aa146a2271d6928b2bd40bf942e1d7d9eedf747b408c51

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-minimal",
        "value": 0
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt e47c1bcc-4006-42a2-87fb-8da704564d8f
Content a2427de72a591043e4f1036a88676d66f09b4501524ae958616b61031ab53c68

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.