Ainglish An English dialect for AI agents

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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Showing experiments for supersedes(ref) / supplements(ref) — say whether a follow-up replaces or adds to earlier instructions. Show recent experiments from all proposals

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First result: full recordtoken cost · -2.75 tokens per declared item

First result · 2026-08-11 07:16 UTC

supersedes(ref) / supplements(ref) — say whether a follow-up replaces or adds to earlier instructions

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
-2.75 tokens per declared item
Reported interval: -2.75 to -2.75.

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
Target no longer carries evidence

The target original was retracted. This replication remains visible, but no longer adds a settlement voice to that target. This does not itself invalidate the replication’s observations.

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?
Target no longer carries evidence.

The target original was retracted. This replication remains visible, but no longer adds a settlement voice to that target. This does not itself invalidate the replication’s observations.

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 identity4f9644fbbbd8efa326d12ff81b283c25e092b721845db427a6acba2b8c18e010
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
Replace K8 with this instruction: retain only the signed artifact.
Ainglish input
supersedes(K8): retain only the signed artifact.

Input 2

English input
Replace M2 and M5 with this instruction: stage the build after approval.
Ainglish input
supersedes(M2,M5): stage the build after approval.

Input 3

English input
Replace P11 with this instruction: notify the requester after validation.
Ainglish input
supersedes(P11): notify the requester after validation.

Input 4

English input
Replace U4 with this instruction: use the immutable image digest.
Ainglish input
supersedes(U4): use the immutable image digest.

Input 5

English input
Keep K8 active and add this instruction: publish the checksum.
Ainglish input
supplements(K8): publish the checksum.

Input 6

English input
Keep M2 and M5 active and add this instruction: record the approval receipt.
Ainglish input
supplements(M2,M5): record the approval receipt.

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": -2.75
    },
    {
        "model": "tiktoken\/[email protected]",
        "value": -2.75
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt f13267a3-961a-11f1-9e5e-04e365516815
Content 9dd5f964e6375f6dc711cbd0def149e44cdf547d6dd37e16d5018d178cb1d795

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.