Ainglish An English dialect for AI agents
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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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First result: full recordtoken cost · -22.1875 tokens per declared item

First result · 2026-09-24 10:45 UTC

text-fixed(ref) / meaning-fixed(ref) — declare which invariants a referenced passage must preserve

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

What was measured
token cost · token_delta
How does the wording change tokenizer units for the declared tokenizer population?
Reported result
-22.1875 tokens per declared item
Reported interval: -22.875 to -22.1875.

Fewer tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.

English comparison
English comparison not recorded as a structured label

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

Tokenizer conditions
Literal encoding cost on the named current tokenizers; not comprehension.
Named instruments
cl100k_base, o200k_base, p50k_base

Reader population not separately declared.

Conditions covered
Separate outcomes retained for all 2 declared conditions

text-fixed, meaning-fixed

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.

Is this result within the cost allowance?
No numerical allowance is available in this proposal’s current structured evidence declaration. A prose prediction is not silently converted into a bound.

This compares Ainglish minus English with the current declaration, which may differ from the declaration when the result was filed. It checks the headline only: inspect any required per-form and per-tokenizer results too.

Has the original estimate been independently reproduced?
Awaiting independent settlement.

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

Reproduction asks whether fresh-input findings agree under the settlement rule. It does not ask whether either value satisfies the cost allowance.

Being within the cost allowance is not a completed prerequisite. Reproducing an original estimate is a separate check, not proof that the allowance is met. Current evidence status, settlement and every declared result still determine readiness.

How can one check pass while the other does not?

For example, an allowance of at most +3 tokens and an original estimate of +3 ask different questions. A replication of −0.5 is within that allowance but may disagree with the original. A replication of +3.25 may reproduce +3 within the settlement tolerance while exceeding the allowance.

These are illustrative numbers, not a new settlement rule. A cost saving is not a comprehension result, and a reproduced premium does not by itself mean a proposal should be adopted or rejected.

Does the overall result hide differences between conditions?

Every stored condition, without new pooling. Differences and intervals use tokens. Condition names come from the frozen experiment.
ConditionReported differenceReported interval
text-fixed-19.25 Not recorded
meaning-fixed-25.125 Not recorded

A missing condition interval is not zero uncertainty. An overall interval cannot substitute for agreement in every load-bearing condition.

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 32 readable, inline study items, in stored order—not a selection of successes. 0 control items are kept separate.

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

Input 1 · permit-condition

English input
You must copy the operating-permit condition into notice Alder-3 while preserving the exact decoded Unicode sequence of permit@ah17§5, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: copy the operating-permit condition into notice Alder-3, text-fixed(permit@ah17§5).
Condition
text-fixed

Input 2 · aircraft-log

English input
You must reproduce the aircraft log entry in release Bronze-3 while preserving the exact decoded Unicode sequence of log@bk42:L18, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: reproduce the aircraft log entry in release Bronze-3, text-fixed(log@bk42:L18).
Condition
text-fixed

Input 3 · pathology-result

English input
You must insert the pathology result into chart Cirrus-3 while preserving the exact decoded Unicode sequence of result@cm68¶3, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: insert the pathology result into chart Cirrus-3, text-fixed(result@cm68¶3).
Condition
text-fixed

Input 4 · constitutional-clause

English input
You must quote the constitutional clause in memorandum Dogwood-3 while preserving the exact decoded Unicode sequence of clause@dn25§9, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: quote the constitutional clause in memorandum Dogwood-3, text-fixed(clause@dn25§9).
Condition
text-fixed

Input 5 · safety-sheet

English input
You must mirror the safety-data warning on card Ember-3 while preserving the exact decoded Unicode sequence of sds@ep74:L7, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: mirror the safety-data warning on card Ember-3, text-fixed(sds@ep74:L7).
Condition
text-fixed

Input 6 · accession-label

English input
You must transcribe the accession label into catalogue Flint-3 while preserving the exact decoded Unicode sequence of label@fq36¶2, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: transcribe the accession label into catalogue Flint-3, text-fixed(label@fq36¶2).
Condition
text-fixed

Recorded input digest: 330d115e8f33fb4b7edbca1571aa907664c8ba20658de0136ee8f306efc3f74d

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
Compared with
text-fixed(ref) / meaning-fixed(ref) versus complete careful English specifying the exact textual or semantic invariants
Tested population
32 frozen complete reference-preservation requests across 32 domains, balanced sixteen per invariant type
Unit tested
one complete request with a referenced passage and preservation invariant
How results combine
equal item mean per tokenizer, then least-favourable maximum tokenizer mean; retain equal-weight literal-form strata

These are the study author’s declarations. A finding applies to this tested scope; this summary does not establish that another study is comparable.

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

Not recorded

Reader or tokenizer results

[
    {
        "model": "cl100k_base",
        "value": -22.34375
    },
    {
        "model": "o200k_base",
        "value": -22.1875
    },
    {
        "model": "p50k_base",
        "value": -22.875
    }
]

Condition results

[
    {
        "id": "text-fixed",
        "weight": 1,
        "share": 0.5,
        "value": -19.25,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "meaning-fixed",
        "weight": 1,
        "share": 0.5,
        "value": -25.125,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    }
]

Exact result and immutable specificationExperiment history

Attempt 3a3497d6-ba5a-41a8-b790-acbfb21677c7
Content 6a835615fd28cd8ac9b72946998d8b2fcf8a57f12ea58a13e5251185db44dacb

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.