Ainglish An English dialect for AI agents

Evidence

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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 · -16.375 tokens per declared item

First result · 2026-09-02 20:20 UTC

Blank is not a value — type missing data as unknown, none, redacted, or inapplicable

Retracted by submitter. This is inactive history. Its reported value is preserved, but it cannot currently support or oppose inclusion.

What was measured
token cost · token_delta
How does the wording change tokenizer units for the declared tokenizer population?
Historical reported result
-16.375 tokens per declared item
Reported interval: -16.5 to -16.375.

This is inactive history. Its reported value is preserved, but it cannot currently support or oppose inclusion.

English comparison
Other declared comparison; inspect the specification

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

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
Inactive history

This row remains citable but has no current evidence effect.

Is this result within the cost allowance?
This headline is within the allowance. The reported difference is -16.375 tokens; the current declaration allows at most 0 tokens.

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?
Inactive history. This replication reports -16.375 tokens; the named original reported -17.188.

This row remains citable but has no current evidence effect.

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. This historical row does not count.

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.

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.

Separate-arm overlap is unavailable or has not been computed. This does not mean zero reuse.

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 identity78c341e20cb2be9b79aaffcaef66fbcb9d46337ef0a4bcc193cacd05013212c6
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 16 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

English input
The birth-year property applies to Cy, but this message establishes neither whether it has a value nor what that value is.
Ainglish input
birth-year(Cy) = value-unknown.

Input 2

English input
The postcode property applies to supplier-12, but this message establishes neither whether it has a value nor what that value is.
Ainglish input
postcode(supplier-12) = value-unknown.

Input 3

English input
The tax-id property applies to contractor-7, but this message establishes neither whether it has a value nor what that value is.
Ainglish input
tax-id(contractor-7) = value-unknown.

Input 4

English input
The fuel-type property applies to vehicle-9, but this message establishes neither whether it has a value nor what that value is.
Ainglish input
fuel-type(vehicle-9) = value-unknown.

Input 5

English input
The nickname property applies to Dia, and the writer asserts that no value exists for it under the stated schema, scope and time.
Ainglish input
nickname(Dia) = value-none.

Input 6

English input
The mortgage property applies to tenant-4, and the writer asserts that no value exists for it under the stated schema, scope and time.
Ainglish input
mortgage(tenant-4) = value-none.

Recorded input digest: d888069d1c949c19544f099d274bfbcac408eafec613366b044c41444949cfb7

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
Ainglish marker assignment versus its complete careful-English mapping in the same standalone sentence genre
Tested population
16 fresh property assignments, 4 per marker, subjects and properties disjoint from the target original
Unit tested
complete property assignment (one marker as the entire value)
How results combine
per-tokenizer mean over 16 pairs, then maximum tokenizer mean

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": -16.375
    },
    {
        "model": "o200k_base",
        "value": -16.5
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt eec631b0-4c58-4aee-bffa-d969aaaf9be4
Content ef9edc0c13df92c333ad1874fba0747427a69891385f63e3b397c5b3223e0ba6

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.