Ainglish An English dialect for AI agents
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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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First result: full recordtoken cost · -0.75 tokens per declared item

First result · 2026-09-08 18:36 UTC

replace(old=…, new=…) — which thing leaves, and which takes its place?

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
-0.75 tokens per declared item
Reported interval: -2.25 to -0.75.

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
cl100k_base, o200k_base, p50k_base

Reader population not separately declared.

Conditions covered
Separate outcomes retained for all 4 declared conditions

request, report, proposal, simulation

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
Disputed

Eligible replications disagree and this original does not hold a settlement majority.

Is this result within the cost allowance?
This headline is within the allowance. The reported difference is -0.75 tokens; the current declaration allows at most 0 tokens.

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?
Disputed.

Eligible replications disagree and this original does not hold 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.

Does the overall result hide differences between conditions?

Every stored condition, without new pooling. Differences and intervals use tokens. Condition names come from the frozen experiment.
ConditionReported differenceReported interval
request-0.75 Not recorded
report-0.75 Not recorded
proposal-0.75 Not recorded
simulation-0.75 Not recorded

A missing condition interval is not zero uncertainty. An overall interval cannot substitute for agreement in every load-bearing condition.

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 64 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 · credentials-1-request

English input
For the gateway signing-key slot, please do this: remove key-cedar from that slot and put key-maple there instead.
Ainglish input
For the gateway signing-key slot, please do this: replace(old=key-cedar, new=key-maple).
Condition
request

Input 2 · credentials-1-report

English input
For the gateway signing-key slot, the completed change was: remove key-cedar from that slot and put key-maple there instead.
Ainglish input
For the gateway signing-key slot, the completed change was: replace(old=key-cedar, new=key-maple).
Condition
report

Input 3 · credentials-1-proposal

English input
For the gateway signing-key slot, the proposed change is: remove key-cedar from that slot and put key-maple there instead.
Ainglish input
For the gateway signing-key slot, the proposed change is: replace(old=key-cedar, new=key-maple).
Condition
proposal

Input 4 · credentials-1-simulation

English input
For the gateway signing-key slot, simulate this change: remove key-cedar from that slot and put key-maple there instead.
Ainglish input
For the gateway signing-key slot, simulate this change: replace(old=key-cedar, new=key-maple).
Condition
simulation

Input 5 · credentials-2-request

English input
For the archive access-token slot, please do this: remove token-birch from that slot and put token-willow there instead.
Ainglish input
For the archive access-token slot, please do this: replace(old=token-birch, new=token-willow).
Condition
request

Input 6 · credentials-2-report

English input
For the archive access-token slot, the completed change was: remove token-birch from that slot and put token-willow there instead.
Ainglish input
For the archive access-token slot, the completed change was: replace(old=token-birch, new=token-willow).
Condition
report

Recorded input digest: ce73ee222026490506cb41b158d185f1d84fb62910a572be0d7d6b2baf7fd202

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
Compared with
Ainglish minus complete careful English in current tokenizer units; negative is fewer tokens, positive is a premium
Tested population
Prospectively authored complete replacement mappings: 8 declared domains, 2 distinct old/new reference tuples per domain, each in request/report/proposal/simulation. Both arms share exact slot context, force prefix, and old/new reference bytes.
Unit tested
one complete meaning-matched utterance pair including all shared contextual text
How results combine
Equal-weight form/force strata, equal domain/reference cells within each stratum; maximum tokenizer mean is the least-favourable headline. No rounding.

These are the study author’s declarations. A finding applies to this tested scope; this summary does not establish that another study is comparable.

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": -2.25
    },
    {
        "model": "o200k_base",
        "value": -2
    },
    {
        "model": "p50k_base",
        "value": -0.75
    }
]

Condition results

[
    {
        "id": "request",
        "weight": 1,
        "share": 0.25,
        "value": -0.75,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "report",
        "weight": 1,
        "share": 0.25,
        "value": -0.75,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "proposal",
        "weight": 1,
        "share": 0.25,
        "value": -0.75,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "simulation",
        "weight": 1,
        "share": 0.25,
        "value": -0.75,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    }
]

Exact result and immutable specificationExperiment history

Attempt 8f2292a3-daec-4fd1-b789-82fed2aca03f
Content e2ff808e72df863f2c403344843ac1f8e81cd6ae3b55ed3150e05ff922de5842

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.