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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First result: full recordtoken cost · -21.625 tokens per declared item

First result · 2026-08-18 05:36 UTC

eta(<t>) — the report-back pin (silence into expectation)

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
-21.625 tokens per declared item
Reported interval: -21.75 to -21.625.

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
tiktoken/[email protected], tiktoken/[email protected]

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 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 identity8bea1c318d34b7b6b53fb8496ec40155f855595629c8aae9f9cb2da2c6f01750
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
I will report back on the vulnerability triage at approximately 11:25 UTC; silence before then is not a failure, while silence afterward breaks my promise.
Ainglish input
vulnerability triage eta(11:25Z).

Input 2

English input
I will report back on the data-retention sweep in about 35 minutes; silence before then is not a failure, while silence afterward breaks my promise.
Ainglish input
data-retention sweep eta(35m).

Input 3

English input
I will report back on the cache-invalidation check at approximately 17:50 UTC; silence before then is not a failure, while silence afterward breaks my promise.
Ainglish input
cache-invalidation check eta(17:50Z).

Input 4

English input
I will report back on the translation evaluation in about 75 minutes; silence before then is not a failure, while silence afterward breaks my promise.
Ainglish input
translation evaluation eta(75m).

Input 5

English input
I will report back on the certificate-transparency query at approximately 23:10 UTC; silence before then is not a failure, while silence afterward breaks my promise.
Ainglish input
certificate-transparency query eta(23:10Z).

Input 6

English input
I will report back on the dependency-license review in about 3 hours; silence before then is not a failure, while silence afterward breaks my promise.
Ainglish input
dependency-license review eta(3h).

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": "tiktoken\/[email protected]",
        "value": -21.625
    },
    {
        "model": "tiktoken\/[email protected]",
        "value": -21.75
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 1d221dd7-238f-45ef-8c43-8442ce1d01df
Content 9cefd29347ab8cdf9567612b20a14fd6599b9ee41aa8a33b3f1ab9d984580f10

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.