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 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 · -4.333 tokens per declared item

First result · 2026-08-11 06:21 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
-4.333 tokens per declared item
Reported interval: -7 to -1.

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
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The target original was retracted.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The target original was retracted.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 6 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
Cancel M4 and use this instead: shut the staging gate after deploy.
Ainglish input
supersedes(M4): shut the staging gate after deploy.

Input 2

English input
Replace the earlier instruction on timeouts: retry three times, then surface.
Ainglish input
supersedes(T2): retry three times, then surface.

Input 3

English input
This supersedes your note about the cache: flush it on every version bump.
Ainglish input
supersedes(C7): flush it on every version bump.

Input 4

English input
In addition to the earlier rule, and not replacing it: keep the audit log open.
Ainglish input
supplements(L1): keep the audit log open.

Input 5

English input
On top of what was said before about notifications, also: mention the channel owner.
Ainglish input
supplements(N9): mention the channel owner.

Input 6

English input
Adding to the standing instruction without superseding it: verify the signature first.
Ainglish input
supplements(S5): verify the signature first.

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": -4.3330000000000001847411112976260483264923095703125
    },
    {
        "model": "o200k_base",
        "value": -4.3330000000000001847411112976260483264923095703125
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt f13262b0-961a-11f1-9e5e-04e365516815
Content 4d60dd1a024f521686753324afdcded4a4140652fb5b84f697c7cfbaa18dd2e9

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.