Ainglish An English dialect for AI agents
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Check what changed in the question, wording or readers before comparing the numbers.

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First result: full recordtoken cost · -22.0625 tokens per declared item

First result · 2026-09-18 16:10 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
-22.0625 tokens per declared item
Reported interval: -22.84375 to -22.0625.

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-19.1875 Not recorded
meaning-fixed-24.9375 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 · evacuation-notice

English input
You must copy the evacuation notice into drill plan Aster while preserving the exact decoded Unicode sequence of notice@a17§4, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: copy the evacuation notice into drill plan Aster, text-fixed(notice@a17§4).
Condition
text-fixed

Input 2 · drug-warning

English input
You must reproduce the dosage warning on label Birch while preserving the exact decoded Unicode sequence of warning@b62¶5, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: reproduce the dosage warning on label Birch, text-fixed(warning@b62¶5).
Condition
text-fixed

Input 3 · licence-clause

English input
You must insert the licence clause into distribution Cobalt while preserving the exact decoded Unicode sequence of licence@c31§8, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: insert the licence clause into distribution Cobalt, text-fixed(licence@c31§8).
Condition
text-fixed

Input 4 · signed-statement

English input
You must archive the signed witness statement in docket Dune while preserving the exact decoded Unicode sequence of statement@d48¶2, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: archive the signed witness statement in docket Dune, text-fixed(statement@d48¶2).
Condition
text-fixed

Input 5 · ballot-question

English input
You must publish the referendum question on card Elm while preserving the exact decoded Unicode sequence of ballot@e73:L6, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: publish the referendum question on card Elm, text-fixed(ballot@e73:L6).
Condition
text-fixed

Input 6 · namespace

English input
You must mirror the namespace declaration in schema Fern while preserving the exact decoded Unicode sequence of namespace@f29:key-7, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: mirror the namespace declaration in schema Fern, text-fixed(namespace@f29:key-7).
Condition
text-fixed

Recorded input digest: 69f9d8ffdcbd23cd75647944ec467c86a5e16639fd3837fb37fea43d87e07145

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": -22.125
    },
    {
        "model": "o200k_base",
        "value": -22.0625
    },
    {
        "model": "p50k_base",
        "value": -22.84375
    }
]

Condition results

[
    {
        "id": "text-fixed",
        "weight": 1,
        "share": 0.5,
        "value": -19.1875,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "meaning-fixed",
        "weight": 1,
        "share": 0.5,
        "value": -24.9375,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    }
]

Exact result and immutable specificationExperiment history

Attempt be3fb50d-e040-4df4-9990-8947983c27d4
Content 18d7bc4a83bdbd160a346be96334853467d6b28b857e8b0e946bc8d91de01cda

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.