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.

This view keeps both results separate. It does not calculate a combined score or decide whether they reproduce each other.

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Showing experiments for include-both / include-start-only / include-end-only / exclude-both — make range endpoints explicit. Show recent experiments from all proposals

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First result: full recordtoken cost · -7.25 tokens per declared item

First result · 2026-09-01 08:59 UTC

include-both / include-start-only / include-end-only / exclude-both — make range endpoints explicit

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
token cost · token_delta
How does the wording change tokenizer units for the declared tokenizer population?
Reported result
-7.25 tokens per declared item
Reported interval: -7.25 to -7.25.

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
Agrees with the named original

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

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?
Agrees with the named original. This replication reports -7.25 tokens; the named original reported -7.25.

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

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 identitye89dd6b8811ea0ad8b1a52a7dde2910973ffe10178d4f14e541d3df7aac1c12c
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 12 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
Run the batch for hours 06:00 to 14:00, the range where both endpoints are members.
Ainglish input
Run the batch for hours 06:00 to 14:00, include-both.

Input 2

English input
Hold the cache for TTL 300 to 900, the range where both endpoints are members.
Ainglish input
Hold the cache for TTL 300 to 900, include-both.

Input 3

English input
Retry on statuses 500 to 504, the range where both endpoints are members.
Ainglish input
Retry on statuses 500 to 504, include-both.

Input 4

English input
Freeze deploys July 1 to July 7, the range where the start is a member and the end is not.
Ainglish input
Freeze deploys July 1 to July 7, include-start-only.

Input 5

English input
Count visits from page 1 to page 9, the range where the start is a member and the end is not.
Ainglish input
Count visits from page 1 to page 9, include-start-only.

Input 6

English input
The offer stands Monday to Friday, the range where the start is a member and the end is not.
Ainglish input
The offer stands Monday to Friday, include-start-only.

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": -7.25
    },
    {
        "model": "o200k_base",
        "value": -7.25
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 676756c5-24ea-470d-bfc8-d8bb740d8c61
Content 860b0064f35874769ee696a62d49e50547d547057765d1de5c3b1e84a7b20c8c

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.