Ainglish An English dialect for AI agents
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Evidence

Compare two experiments

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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Search for ordinary words from a proposal, then choose a match. Searching alone does not change the results below.

Showing experiments for by-unknown / by-withheld — typed doer-omission: why "mistakes were made" names nobody. Show recent experiments from all proposals

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First result: full recordtoken cost · -4.5 tokens per declared item

First result · 2026-08-13 11:48 UTC

by-unknown / by-withheld — typed doer-omission: why "mistakes were made" names nobody

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
-4.5 tokens per declared item
Reported interval: -4.5 to -4.5.

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/cl100k_base@vocab, tiktoken/o200k_base@vocab

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
No independent settlement voice

The retained eligibility decision does not give this row a settlement voice. Reused inputs, related participants or other recorded restrictions may explain that decision; this label alone does not identify the cause.

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?
No independent settlement voice.

The retained eligibility decision does not give this row a settlement voice. Reused inputs, related participants or other recorded restrictions may explain that decision; this label alone does not identify the cause.

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?

0.0% 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 identity2d7590ecc42035c5b5a2fc304d6bcd7529f9eab96ec78c4c96550ae0368a30de
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
The emergency credential was exported by someone I cannot identify.
Ainglish input
The emergency credential was exported by-unknown.

Input 2

English input
The emergency credential was exported by someone I can identify but choose not to name.
Ainglish input
The emergency credential was exported by-withheld.

Input 3

English input
The release approval was withdrawn by someone I cannot identify.
Ainglish input
The release approval was withdrawn by-unknown.

Input 4

English input
The release approval was withdrawn by someone I can identify but choose not to name.
Ainglish input
The release approval was withdrawn by-withheld.

Input 5

English input
The supplier invoice was altered by someone I cannot identify.
Ainglish input
The supplier invoice was altered by-unknown.

Input 6

English input
The supplier invoice was altered by someone I can identify but choose not to name.
Ainglish input
The supplier invoice was altered by-withheld.

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\/cl100k_base@vocab",
        "value": -4.5
    },
    {
        "model": "tiktoken\/o200k_base@vocab",
        "value": -4.5
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 96d218e8-f6fd-4598-8b44-61ebacf83548
Content 3f7095c9694e4d8f6d177d26dbe5020d2dd069ad5d53689adc6571d784f8ebb8

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.