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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Search for ordinary words from a proposal, then choose a match. Searching alone does not change the results below.

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A full attempt UUID entered here replaces the corresponding choice above. Content hashes are not result identifiers.

Clear comparison

Compare the essentials

Read each question across both results. A matching description is not proof that the studies are scientifically comparable.

QuestionFirst resultSecond result
Which proposal?prob / odds-for / odds-against — is a risk a share or a ratio, and which side comes first?2026-09-05 19:31 UTCprob / odds-for / odds-against — is a risk a share or a ratio, and which side comes first?2026-09-06 11:03 UTC
What was measured?token costHow does the wording change tokenizer units for the declared tokenizer population?token costHow does the wording change tokenizer units for the declared tokenizer population?
What was the result?-3 tokens per declared itemReported interval: -3.25 to -3Counts in current evidence decisions-3 tokens per declared itemReported interval: -3.25 to -3Counts in current evidence decisions
Compared with what?English comparison not recorded as a structured labelCurrent tokenizer cost, not comprehensionEnglish comparison not recorded as a structured labelCurrent tokenizer cost, not comprehension
Independently settled?Confirmed, with disagreement visibleA settlement majority confirms this original, while eligible disagreement remains part of the record.Agrees with the named originalThis eligible row adds one agreement to the named original’s settlement tally.

Inspect first resultInspect second result

What differs in the declared methods?

These are literal recorded values, not a compatibility test. Matching declarations do not prove equivalent inputs or fair scoring. A missing structured field may be described elsewhere in the immutable specification.

What was measured · Same recorded value
First result
token_delta
Second result
token_delta
English comparison declarations · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Tested population · Same recorded value
First result
32 prospective authored probability claims across all eight declared domains. Sixteen probability claims and eight of each odds form; eight rational edge/interior cases, including zero and certainty. Fixed 2:1:1 form mixture. Not random natural prose.
Second result
32 prospective authored probability claims across all eight declared domains. Sixteen probability claims and eight of each odds form; eight rational edge/interior cases, including zero and certainty. Fixed 2:1:1 form mixture. Not random natural prose.
Unit tested · Same recorded value
First result
one complete scoped claim or operation, including identical surrounding context
Second result
one complete scoped claim or operation, including identical surrounding context
Named instruments (including order) · Same recorded value
First result
[
    "cl100k_base",
    "o200k_base"
]
Second result
[
    "cl100k_base",
    "o200k_base"
]
Reader exposure · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Exposure window · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
How results combine · Same recorded value
First result
{
    "reducer": "least_favourable",
    "rule": "Declared weighted condition means within each tokenizer; maximum tokenizer mean (least-favourable) across cl100k_base and o200k_base. Bounds are tokenizer member span, not a population confidence interval."
}
Second result
{
    "reducer": "least_favourable",
    "rule": "Declared weighted condition means within each tokenizer; maximum tokenizer mean (least-favourable) across cl100k_base and o200k_base. Bounds are tokenizer member span, not a population confidence interval."
}
Scoring declaration · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Conditions (including order) · Same recorded value
First result
[
    {
        "id": "prob",
        "weight": 2
    },
    {
        "id": "odds-for",
        "weight": 1
    },
    {
        "id": "odds-against",
        "weight": 1
    }
]
Second result
[
    {
        "id": "prob",
        "weight": 2
    },
    {
        "id": "odds-for",
        "weight": 1
    },
    {
        "id": "odds-against",
        "weight": 1
    }
]
First result: full recordtoken cost · -3 tokens per declared item

First result · 2026-09-05 19:31 UTC

prob / odds-for / odds-against — is a risk a share or a ratio, and which side comes first?

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
-3 tokens per declared item
Reported interval: -3.25 to -3.

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 3 declared conditions

prob, odds-for, odds-against

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, with disagreement visible

A settlement majority confirms this original, while eligible disagreement remains part of the record.

Is this result within the cost allowance?
This headline is within the allowance. The reported difference is -3 tokens; the current declaration allows at most 4 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?
Confirmed, with disagreement visible.

A settlement majority confirms this original, while eligible disagreement remains part of the record.

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
prob-3 Not recorded
odds-for-5 Not recorded
odds-against-1 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 32 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
In forecast-0, E-00 means rain occurs before noon; its complement is that this event does not occur. The probability of E-00 is 0%.
Ainglish input
In forecast-0, E-00 means rain occurs before noon; its complement is that this event does not occur. prob(E-00)=0%.
Condition
prob

Input 2

English input
In forecast-0, E-01 means rain occurs before noon; its complement is that this event does not occur. The probability of E-01 is 100%.
Ainglish input
In forecast-0, E-01 means rain occurs before noon; its complement is that this event does not occur. prob(E-01)=100%.
Condition
prob

Input 3

English input
In forecast-0, E-00 means rain occurs before noon; its complement is that this event does not occur. The probability odds in favour of E-00 are 0:1.
Ainglish input
In forecast-0, E-00 means rain occurs before noon; its complement is that this event does not occur. odds-for(E-00)=0:1.
Condition
odds-for

Input 4

English input
In forecast-0, E-00 means rain occurs before noon; its complement is that this event does not occur. The probability odds against E-00 are 1:0.
Ainglish input
In forecast-0, E-00 means rain occurs before noon; its complement is that this event does not occur. odds-against(E-00)=1:0.
Condition
odds-against

Input 5

English input
In forecast-1, E-10 means the parcel arrives by 18:00 UTC; its complement is that this event does not occur. The probability of E-10 is 50%.
Ainglish input
In forecast-1, E-10 means the parcel arrives by 18:00 UTC; its complement is that this event does not occur. prob(E-10)=50%.
Condition
prob

Input 6

English input
In forecast-1, E-11 means the parcel arrives by 18:00 UTC; its complement is that this event does not occur. The probability of E-11 is 25%.
Ainglish input
In forecast-1, E-11 means the parcel arrives by 18:00 UTC; its complement is that this event does not occur. prob(E-11)=25%.
Condition
prob

Recorded input digest: 28fdbdb4cbf99c8d0b13c8b92319b8245c06236a3e0ff5969e54ee67714ef0e6

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
Current registered forms minus concise complete English carrying the same event, direction, scope, force and known quantities; no unqualified ambiguous substitute
Tested population
32 prospective authored probability claims across all eight declared domains. Sixteen probability claims and eight of each odds form; eight rational edge/interior cases, including zero and certainty. Fixed 2:1:1 form mixture. Not random natural prose.
Unit tested
one complete scoped claim or operation, including identical surrounding context
How results combine
Declared weighted condition means within each tokenizer; maximum tokenizer mean (least-favourable) across cl100k_base and o200k_base. Bounds are tokenizer member span, not a population confidence interval.

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": -3.25
    },
    {
        "model": "o200k_base",
        "value": -3
    }
]

Condition results

[
    {
        "id": "prob",
        "weight": 2,
        "share": 0.5,
        "value": -3,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "odds-for",
        "weight": 1,
        "share": 0.25,
        "value": -5,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "odds-against",
        "weight": 1,
        "share": 0.25,
        "value": -1,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    }
]

Exact result and immutable specificationExperiment history

Attempt 3dc6b4c5-0fea-49ef-90a6-b74acb7a8697
Content dea6509b1747c9d9c37b904d0a02e31d1ac0441277cca79c61e5f431a5c8665d

Second result: full recordtoken cost · -3 tokens per declared item

Second result · 2026-09-06 11:03 UTC

prob / odds-for / odds-against — is a risk a share or a ratio, and which side comes first?

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
-3 tokens per declared item
Reported interval: -3.25 to -3.

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 3 declared conditions

prob, odds-for, odds-against

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 -3 tokens; the current declaration allows at most 4 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 -3 tokens; the named original reported -3.

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 identitydea6509b1747c9d9c37b904d0a02e31d1ac0441277cca79c61e5f431a5c8665d

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
prob-3 Not recorded
odds-for-5 Not recorded
odds-against-1 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 32 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
In forecast-8, E-80 means the reactor outlet exceeds 340 C; its complement is that this event does not occur. The probability of E-80 is 0%.
Ainglish input
In forecast-8, E-80 means the reactor outlet exceeds 340 C; its complement is that this event does not occur. prob(E-80)=0%.
Condition
prob

Input 2

English input
In forecast-9, E-81 means the reactor outlet exceeds 340 C; its complement is that this event does not occur. The probability of E-81 is 100%.
Ainglish input
In forecast-9, E-81 means the reactor outlet exceeds 340 C; its complement is that this event does not occur. prob(E-81)=100%.
Condition
prob

Input 3

English input
In forecast-10, E-82 means the bridge load tops 40 tonnes; its complement is that this event does not occur. The probability of E-82 is 50%.
Ainglish input
In forecast-10, E-82 means the bridge load tops 40 tonnes; its complement is that this event does not occur. prob(E-82)=50%.
Condition
prob

Input 4

English input
In forecast-11, E-83 means the queue drains before 09:00; its complement is that this event does not occur. The probability of E-83 is 25%.
Ainglish input
In forecast-11, E-83 means the queue drains before 09:00; its complement is that this event does not occur. prob(E-83)=25%.
Condition
prob

Input 5

English input
In forecast-12, E-84 means the satellite pass clears the ridge; its complement is that this event does not occur. The probability of E-84 is 75%.
Ainglish input
In forecast-12, E-84 means the satellite pass clears the ridge; its complement is that this event does not occur. prob(E-84)=75%.
Condition
prob

Input 6

English input
In forecast-13, E-85 means the batch yield tops 98 percent; its complement is that this event does not occur. The probability of E-85 is 20%.
Ainglish input
In forecast-13, E-85 means the batch yield tops 98 percent; its complement is that this event does not occur. prob(E-85)=20%.
Condition
prob

Recorded input digest: 208d5e675f3710b1359551b6a82c95faea901a3cb5056821e90d8558629bfd3a

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
Current registered forms minus concise complete English carrying the same event, direction, scope, force and known quantities; no unqualified ambiguous substitute
Tested population
32 prospective authored probability claims across all eight declared domains. Sixteen probability claims and eight of each odds form; eight rational edge/interior cases, including zero and certainty. Fixed 2:1:1 form mixture. Not random natural prose.
Unit tested
one complete scoped claim or operation, including identical surrounding context
How results combine
Declared weighted condition means within each tokenizer; maximum tokenizer mean (least-favourable) across cl100k_base and o200k_base. Bounds are tokenizer member span, not a population confidence interval.

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": -3.25
    },
    {
        "model": "o200k_base",
        "value": -3
    }
]

Condition results

[
    {
        "id": "prob",
        "weight": 2,
        "share": 0.5,
        "value": -3,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "odds-for",
        "weight": 1,
        "share": 0.25,
        "value": -5,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "odds-against",
        "weight": 1,
        "share": 0.25,
        "value": -1,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    }
]

Exact result and immutable specificationExperiment history

Attempt 9eb96c83-65c2-4ac3-896b-78023ca06cbe
Content 1bec9b95e697e3356f38ce3e5591ee0c1bf7b9aadf54f290354670f32eadc75e

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.