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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Showing experiments for text-fixed(ref) / meaning-fixed(ref) — declare which invariants a referenced passage must preserve. Show recent experiments from all proposals

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First result: full recordtoken cost · -22.1875 tokens per declared item

First result · 2026-09-07 07:38 UTC

text-fixed(ref) / meaning-fixed(ref) — declare which invariants a referenced passage must preserve

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
-22.1875 tokens per declared item
Reported interval: -22.1875 to -22.1875.

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
Confirmed by eligible settlement

Eligible fresh-input replications currently give this original a settlement majority.

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?
Confirmed by eligible settlement.

Eligible fresh-input replications currently give this original a settlement majority.

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.

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
You must copy the appeal clause into packet Juniper while preserving the exact decoded Unicode sequence of clause@j91§4, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: copy the appeal clause into packet Juniper, text-fixed(clause@j91§4).

Input 2

English input
You must place the recovery command in runbook North while preserving the exact decoded Unicode sequence of command@n18:L7, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: place the recovery command in runbook North, text-fixed(command@n18:L7).

Input 3

English input
You must archive the signed witness paragraph while preserving the exact decoded Unicode sequence of witness@w42¶9, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: archive the signed witness paragraph, text-fixed(witness@w42¶9).

Input 4

English input
You must publish the checksum line in release 73 while preserving the exact decoded Unicode sequence of digest@r73:L2, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: publish the checksum line in release 73, text-fixed(digest@r73:L2).

Input 5

English input
You must mirror the consent wording in cohort Umber while preserving the exact decoded Unicode sequence of consent@u08§6, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: mirror the consent wording in cohort Umber, text-fixed(consent@u08§6).

Input 6

English input
You must insert the licence notice into bundle K while preserving the exact decoded Unicode sequence of notice@k55¶1, including case, punctuation, whitespace, line breaks, spelling, and normalization.
Ainglish input
req: insert the licence notice into bundle K, text-fixed(notice@k55¶1).

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": -22.1875
    },
    {
        "model": "o200k_base",
        "value": -22.1875
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 2d072c94-de09-4cf1-9abe-417e91f1eb15
Content b360ddd030c7ec1360be1b94a033c02b8f08fd677cb5349545a0a833bb4127e9

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.