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.

Choose two experiments by title, measurement and date. The choices include up to 50 newest public completed results, plus your current selections. Historical results stay labelled. For older records, use the evidence explorer or exact entry below.

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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?mean-outcome / likeliest-outcome — an expected result need not be a possible result2026-09-09 08:40 UTCmean-outcome / likeliest-outcome — an expected result need not be a possible result2026-09-19 13:20 UTC
What was measured?comprehension accuracyHow does the wording change correct answers from the declared reader panel?comprehension accuracyHow does the wording change correct answers from the declared reader panel?
What was the result?-2.495 percentage pointsReported interval: -7.6292 to 2.6829Not yet counting in evidence decisions7.085 percentage pointsReported interval: 3.75 to 10.4167Counts in current evidence decisions
Compared with what?Other declared comparison; inspect the specificationReader exposure not recorded as a structured labelOther declared comparison; inspect the specificationReader exposure not recorded as a structured label
Independently settled?DisputedEligible replications disagree and this original does not hold a settlement majority.Disagrees with the named originalThis eligible row adds one disagreement. An adverse or null direction is a valid result and remains visible.

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
comprehension_accuracy_delta
Second result
comprehension_accuracy_delta
English comparison declarations · Same recorded value
First result
[
    "outcome-careful-shared-definition-v1"
]
Second result
[
    "outcome-careful-shared-definition-v1"
]
Tested population · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Unit tested · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Named instruments (including order) · Same recorded value
First result
[
    "mistral-small3.2-24b-opaque-choice-q4_k_m@q4_k_m",
    "gemma3-12b-opaque-choice-q4_k_m@q4_k_m"
]
Second result
[
    "mistral-small3.2-24b-opaque-choice-q4_k_m@q4_k_m",
    "gemma3-12b-opaque-choice-q4_k_m@q4_k_m"
]
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 · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
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": "mean-outcome",
        "weight": 1
    },
    {
        "id": "likeliest-outcome",
        "weight": 1
    }
]
Second result
[
    {
        "id": "mean-outcome",
        "weight": 1
    },
    {
        "id": "likeliest-outcome",
        "weight": 1
    }
]
First result: full recordcomprehension accuracy · -2.495 percentage points

First result · 2026-09-09 08:40 UTC

mean-outcome / likeliest-outcome — an expected result need not be a possible result

Not yet counting in evidence decisions. This row remains available for assessment, but does not currently carry a counting evidence result.

What was measured
comprehension accuracy · comprehension_accuracy_delta
How does the wording change correct answers from the declared reader panel?
Reported result
-2.495 percentage points
Reported interval: -7.6292 to 2.6829.

The value is neutral or does not resolve the registered direction.

English comparison
Other declared comparison; inspect the specification

Declared by the submitter; not a certification of equivalent information.

Exactly shared common definitions, distribution, units, version, conditioning and tie rules; only the statistic expression differs.

Reader exposure
Reader exposure not recorded as a structured label
Named instruments
mistral-small3.2-24b-opaque-choice-q4_k_m@q4_k_m, gemma3-12b-opaque-choice-q4_k_m@q4_k_m

Reader population not separately declared.

Conditions covered
Separate outcomes retained for all 2 declared conditions

mean-outcome, likeliest-outcome

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.

How often did each version lead to the right answer?

English comparison
11.67%
11.67%
Ainglish version
9.18%
9.18%

Reported real-item accuracy, not the separate calibration score. Both bars use the same 0–100% scale. The difference is measured in percentage points, not percent improvement. Any declared stratum weights are already applied.

Reported item-bootstrap interval: -7.6292 to 2.6829 percentage points.

This interval concerns the difference, not separate uncertainty bounds for either accuracy. It does not measure uncertainty across humans or future models.

At least one declared condition is resolution-limited. The overall interval does not settle every condition.

Real cases: 240 · Named readers: 2. These are different units; multiple answers to one case are not new cases.

Does the overall result hide differences between conditions?

Every stored condition, without new pooling. Differences and intervals use percentage points. Condition names come from the frozen experiment.
ConditionReported differenceReported intervalEnglish accuracyAinglish accuracy
mean-outcome-2.16 Not recorded 6.96%4.80%
likeliest-outcome-2.83 Not recorded 16.39%13.56%

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

Inspect externally stored 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.

The input material is linked externally. The number of study items and controls in that file has not been checked by this website. “External file” does not mean zero inputs.

Open the declared external input artifact. This is an unverified external link, not a hosted or inspected copy.

Declared input digest: 478551f7d70f7725277b2bdc2888d1484698ffda55bfaec50da91cf51d9dc728. A recorded digest alone does not establish that the linked file matches it.

The website does not fetch the file. Verify the declared digest recipe before relying on it: SDK item digests use canonical JSON of the item array, not the raw pretty-printed file bytes.

No readable study input pairs are stored inline in this receipt. This does not mean the experiment used none.

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

{
    "english": 0.1166999999999999981792342396147432737052440643310546875,
    "ainglish": 0.09180000000000000659472476627342985011637210845947265625,
    "chance": 0.0625
}

Reader or tokenizer results

[
    {
        "model": "mistral-small3.2-24b-opaque-choice-q4_k_m",
        "value": -4.70000000000000017763568394002504646778106689453125,
        "precision": "q4_k_m"
    },
    {
        "model": "gemma3-12b-opaque-choice-q4_k_m",
        "value": 0.60999999999999998667732370449812151491641998291015625,
        "precision": "q4_k_m"
    }
]

Condition results

[
    {
        "id": "mean-outcome",
        "weight": 1,
        "share": 0.5,
        "value": -2.160000000000000142108547152020037174224853515625,
        "value_lo": null,
        "value_hi": null,
        "arms": {
            "english": 0.06959999999999999520383653361932374536991119384765625,
            "ainglish": 0.04800000000000000099920072216264088638126850128173828125,
            "chance": 0.0625
        },
        "resolution_bound": "floor"
    },
    {
        "id": "likeliest-outcome",
        "weight": 1,
        "share": 0.5,
        "value": -2.8300000000000000710542735760100185871124267578125,
        "value_lo": null,
        "value_hi": null,
        "arms": {
            "english": 0.163899999999999990141219541328609921038150787353515625,
            "ainglish": 0.135599999999999998312461002569762058556079864501953125,
            "chance": 0.0625
        },
        "resolution_bound": "resolvable"
    }
]

Exact result and immutable specificationExperiment history

Attempt e9fad447-16fa-4e0e-8698-a9ac6df32579
Content cba951d749ea72d39703a3703e6c966962fb6890f3ed006970a15df21a781e05

Second result: full recordcomprehension accuracy · 7.085 percentage points

Second result · 2026-09-19 13:20 UTC

mean-outcome / likeliest-outcome — an expected result need not be a possible result

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
comprehension accuracy · comprehension_accuracy_delta
How does the wording change correct answers from the declared reader panel?
Reported result
7.085 percentage points
Reported interval: 3.75 to 10.4167.

The value falls on the registered helpful side of this metric’s neutral point.

English comparison
Other declared comparison; inspect the specification

Declared by the submitter; not a certification of equivalent information.

Exactly shared common definitions, distribution, units, version, conditioning and tie rules; only the statistic expression differs.

Reader exposure
Reader exposure not recorded as a structured label
Named instruments
mistral-small3.2-24b-opaque-choice-q4_k_m@q4_k_m, gemma3-12b-opaque-choice-q4_k_m@q4_k_m

Reader population not separately declared.

Conditions covered
Separate outcomes retained for all 2 declared conditions

mean-outcome, likeliest-outcome

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
Disagrees with the named original

This eligible row adds one disagreement. An adverse or null direction is a valid result and remains visible.

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?

Complete-pair freshness is not available for this receipt.

Separate-arm overlap is unavailable or has not been computed. This does not mean zero reuse.

The item banks are referenced by digest rather than inspectable here. Compare the explicitly retrieved, digest-verified files before making a freshness claim.

Declared item-bank digests: different. This compares bank identity, not shared sentences; different bank digests can still contain identical pairs.

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 identitycba951d749ea72d39703a3703e6c966962fb6890f3ed006970a15df21a781e05

How often did each version lead to the right answer?

English comparison
2.92%
2.92%
Ainglish version
10.00%
10.00%

Reported real-item accuracy, not the separate calibration score. Both bars use the same 0–100% scale. The difference is measured in percentage points, not percent improvement. Any declared stratum weights are already applied.

Reported item-bootstrap interval: 3.75 to 10.4167 percentage points.

This interval concerns the difference, not separate uncertainty bounds for either accuracy. It does not measure uncertainty across humans or future models.

At least one declared condition is resolution-limited. The overall interval does not settle every condition.

Real cases: 240 · Named readers: 2. These are different units; multiple answers to one case are not new cases.

Does the overall result hide differences between conditions?

Every stored condition, without new pooling. Differences and intervals use percentage points. Condition names come from the frozen experiment.
ConditionReported differenceReported intervalEnglish accuracyAinglish accuracy
mean-outcome7.5 Not recorded 2.50%10.00%
likeliest-outcome6.67 Not recorded 3.33%10.00%

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

Inspect externally stored 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.

The input material is linked externally. The number of study items and controls in that file has not been checked by this website. “External file” does not mean zero inputs.

Open the declared external input artifact. This is an unverified external link, not a hosted or inspected copy.

Declared input digest: 95fcac3b06e34cde12c8d401a2a40f7c193bd626221c25a529785670ebc51b43. A recorded digest alone does not establish that the linked file matches it.

The website does not fetch the file. Verify the declared digest recipe before relying on it: SDK item digests use canonical JSON of the item array, not the raw pretty-printed file bytes.

No readable study input pairs are stored inline in this receipt. This does not mean the experiment used none.

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

{
    "english": 0.0292000000000000002609024107869117869995534420013427734375,
    "ainglish": 0.1000000000000000055511151231257827021181583404541015625,
    "chance": 0.0625
}

Reader or tokenizer results

[
    {
        "model": "mistral-small3.2-24b-opaque-choice-q4_k_m",
        "value": 20,
        "precision": "q4_k_m"
    },
    {
        "model": "gemma3-12b-opaque-choice-q4_k_m",
        "value": -5.83499999999999996447286321199499070644378662109375,
        "precision": "q4_k_m"
    }
]

Condition results

[
    {
        "id": "mean-outcome",
        "weight": 1,
        "share": 0.5,
        "value": 7.5,
        "value_lo": null,
        "value_hi": null,
        "arms": {
            "english": 0.025000000000000001387778780781445675529539585113525390625,
            "ainglish": 0.1000000000000000055511151231257827021181583404541015625,
            "chance": 0.0625
        },
        "resolution_bound": "floor"
    },
    {
        "id": "likeliest-outcome",
        "weight": 1,
        "share": 0.5,
        "value": 6.6699999999999999289457264239899814128875732421875,
        "value_lo": null,
        "value_hi": null,
        "arms": {
            "english": 0.033300000000000003208544541166702401824295520782470703125,
            "ainglish": 0.1000000000000000055511151231257827021181583404541015625,
            "chance": 0.0625
        },
        "resolution_bound": "floor"
    }
]

Exact result and immutable specificationExperiment history

Attempt 7762d1af-6ed8-4c09-8254-76686b315bea
Content d43957ec208fd6e26378f0dc16b4411ce22b307685f240014d57f191e4e23134

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.