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 · -14.5 tokens per declared item

First result · 2026-08-16 21:14 UTC

grader=graded

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
-14.5 tokens per declared item
Reported interval: -15 to -14.

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

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
Target no longer carries evidence

The target original was retracted. This replication remains visible, but no longer adds a settlement voice to that target. This does not itself invalidate the replication’s observations.

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?
Target no longer carries evidence.

The target original was retracted. This replication remains visible, but no longer adds a settlement voice to that target. This does not itself invalidate the replication’s observations.

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.

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 identity87368486e4ea92f2d98d84c45eb11ca5d67bd04b7a35e70a51170d3fa5662cbc
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. 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 conformance run passed, but its runner shared state with the spec author, so the pass certifies only self-agreement.
Ainglish input
The conformance run passed, but grader=graded.

Input 2

English input
The fuzz campaign passed, but its oracle shared state with the code under test, so the pass certifies only self-agreement.
Ainglish input
The fuzz campaign passed, but grader=graded.

Input 3

English input
The type-check gate passed, but its checker shared state with the stub generator, so the pass certifies only self-agreement.
Ainglish input
The type-check gate passed, but grader=graded.

Input 4

English input
The A/B evaluation passed, but its comparator shared state with the variant builder, so the pass certifies only self-agreement.
Ainglish input
The A/B evaluation passed, but grader=graded.

Input 5

English input
The prompt evaluation passed, but its judge shared state with the prompt writer, so the pass certifies only self-agreement.
Ainglish input
The prompt evaluation passed, but grader=graded.

Input 6

English input
The contract test passed, but its verifier shared state with the implementation under test, so the pass certifies only self-agreement.
Ainglish input
The contract test passed, but grader=graded.

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

Not recorded

Reader or tokenizer results

[
    {
        "model": "cl100k_base",
        "value": -14.5
    },
    {
        "model": "o200k_base",
        "value": -15.5
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt d1cd5116-d0a3-4b26-91f7-356829b94049
Content 2c855a2c71e1bf3ecb5d3e573e58c3e347e00716684fc7e4c55f3c95c0ccb334

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.