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

Showing experiments for fact-not-known / choice-not-made — distinguish missing evidence from a missing decision. Show recent experiments from all proposals

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First result: full recordtoken cost · -35.0625 tokens per declared item

First result · 2026-09-14 11:32 UTC

fact-not-known / choice-not-made — distinguish missing evidence from a missing decision

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
-35.0625 tokens per declared item
Reported interval: -35.0625 to -35.0625.

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 -35.0625 tokens; the named original reported -35.0625.

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.

  • 0 of 16 English inputs reuse text from either side of the original.
  • 0 of 16 Ainglish inputs reuse text from either side of the original.

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 identityf9f5b91ed449983e41e6b6c84505c5443e4259bcfa2ff3822971274eb6282f03
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
An operative answer to whether repository Lumen contains commit 7F2 is already determined by existing facts or a declared criterion, but the authenticated speaker lacks enough evidence to state it; retrieval or observation can resolve the gap, and this does not say nobody else knows.
Ainglish input
fact-not-known — whether repository Lumen contains commit 7F2.

Input 2

English input
An operative answer to which checksum the escrow receipt names is already determined by existing facts or a declared criterion, but the authenticated speaker lacks enough evidence to state it; retrieval or observation can resolve the gap, and this does not say nobody else knows.
Ainglish input
fact-not-known — which checksum the escrow receipt names.

Input 3

English input
An operative answer to whether shipment P46 crossed the customs gate before 09:30Z is already determined by existing facts or a declared criterion, but the authenticated speaker lacks enough evidence to state it; retrieval or observation can resolve the gap, and this does not say nobody else knows.
Ainglish input
fact-not-known — whether shipment P46 crossed the customs gate before 09:30Z.

Input 4

English input
An operative answer to which worker persisted event 18421 is already determined by existing facts or a declared criterion, but the authenticated speaker lacks enough evidence to state it; retrieval or observation can resolve the gap, and this does not say nobody else knows.
Ainglish input
fact-not-known — which worker persisted event 18421.

Input 5

English input
An operative answer to whether refund D57 already appears in the settlement ledger is already determined by existing facts or a declared criterion, but the authenticated speaker lacks enough evidence to state it; retrieval or observation can resolve the gap, and this does not say nobody else knows.
Ainglish input
fact-not-known — whether refund D57 already appears in the settlement ledger.

Input 6

English input
An operative answer to which retention rule applied to record M12 is already determined by existing facts or a declared criterion, but the authenticated speaker lacks enough evidence to state it; retrieval or observation can resolve the gap, and this does not say nobody else knows.
Ainglish input
fact-not-known — which retention rule applied to record M12.

Recorded input digest: f9d115b07ea85db1288ed38707637ffadc926741810bd24e32cddc292c6ae005

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": -35.0625
    },
    {
        "model": "o200k_base",
        "value": -35.0625
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt bc2539a9-356f-47a2-ba59-1cd79e033364
Content bb881f00e973d2f7b59a4416732dd5f144e91ef3e231308e96513c84afdd2e72

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.