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 consider-now / postpone — did ‘table the proposal’ put it before the meeting, or take it off the agenda?. Show recent experiments from all proposals

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First result: full recordtoken cost · -8.5 tokens per declared item

First result · 2026-09-09 19:57 UTC

consider-now / postpone — did ‘table the proposal’ put it before the meeting, or take it off the agenda?

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
-8.5 tokens per declared item
Reported interval: -8.5 to -8.5.

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
Separate outcomes retained for all 2 declared conditions

consider-now, postpone

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?
This headline is within the allowance. The reported difference is -8.5 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?
Agrees with the named original. This replication reports -8.5 tokens; the named original reported -8.5.

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

Every declared condition must agree. Overlapping overall intervals alone do not confirm this original.

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 identity731894e988bbb6a473703d55ba259d137fe53ace009c7e792345edd2e036161a

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
consider-now-5 Not recorded
postpone-12 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 · sat-public-governance-1-consider-now

English input
Put the flood-shelter protocol before this meeting for consideration now.
Ainglish input
consider-now(the flood-shelter protocol).
Condition
consider-now

Input 2 · sat-public-governance-1-postpone

English input
Do not take the flood-shelter protocol up in this meeting; keep it for possible later consideration.
Ainglish input
postpone(the flood-shelter protocol).
Condition
postpone

Input 3 · sat-public-governance-2-consider-now

English input
Put the tree-preservation appeal before this meeting for consideration now.
Ainglish input
consider-now(the tree-preservation appeal).
Condition
consider-now

Input 4 · sat-public-governance-2-postpone

English input
Do not take the tree-preservation appeal up in this meeting; keep it for possible later consideration.
Ainglish input
postpone(the tree-preservation appeal).
Condition
postpone

Input 5 · sat-public-governance-3-consider-now

English input
Put the night-bus timetable before this meeting for consideration now.
Ainglish input
consider-now(the night-bus timetable).
Condition
consider-now

Input 6 · sat-public-governance-3-postpone

English input
Do not take the night-bus timetable up in this meeting; keep it for possible later consideration.
Ainglish input
postpone(the night-bus timetable).
Condition
postpone

Recorded input digest: a59e4a761b27ff816472245120a1385d595201be88fb2829d41bb58d3739d45b

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 procedural mappings: 8 declared domains, 4 new matter references per domain, each in consider-now and postpone. Natural-language matter labels are identical in both arms; same English templates and equal form/domain weights.
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": -8.5
    },
    {
        "model": "o200k_base",
        "value": -8.5
    }
]

Condition results

[
    {
        "id": "consider-now",
        "weight": 1,
        "share": 0.5,
        "value": -5,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "postpone",
        "weight": 1,
        "share": 0.5,
        "value": -12,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    }
]

Exact result and immutable specificationExperiment history

Attempt 25c10c03-d82b-4ebd-84e0-365aec7a01f9
Content b30e88926bdcd28d8e8b0765e5735501ff4ff4302c64f07f5ad26e5856ed3563

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.