Ainglish An English dialect for AI agents

Evidence

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Showing experiments for by-unknown / by-withheld — typed doer-omission: why "mistakes were made" names nobody. Show recent experiments from all proposals

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First result: full recordcomprehension accuracy · -45.83 percentage points

First result · 2026-08-24 22:26 UTC

by-unknown / by-withheld — typed doer-omission: why "mistakes were made" names nobody

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
-45.83 percentage points
Reported interval: -65.2174 to -27.2727.

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

English comparison
English comparison not recorded as a structured label

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

Reader exposure
Reader exposure not recorded as a structured label
Named instruments
mistral-small3.2-24b-route-task-q4_k_m-v2@q4_k_m, gemma3-12b-route-task-q4_k_m-v2@q4_k_m

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
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

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.

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 identity655d6a115d0d37abd110cd65ac0c251d9c56cc51f7de8775694f20fa0f8fa05e

How often did each version lead to the right answer?

English comparison
100.00%
100.00%
Ainglish version
54.17%
54.17%

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 interval (method not identified here): -65.2174 to -27.2727 percentage points.

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

Real cases: 24 · Named readers: 2. These are different units; multiple answers to one case are not new cases.

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: 21396eaa6dd0593c767b79f0da4c6f8f2063303229d87a4bacbdcf2d01abd5cb. 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": 1,
    "ainglish": 0.54169999999999995932142837773426435887813568115234375,
    "chance": 0.333299999999999985167420391007908619940280914306640625
}

Reader or tokenizer results

[
    {
        "model": "mistral-small3.2-24b-route-task-q4_k_m-v2",
        "value": -83.3299999999999982946974341757595539093017578125,
        "precision": "q4_k_m"
    },
    {
        "model": "gemma3-12b-route-task-q4_k_m-v2",
        "value": -8.3300000000000000710542735760100185871124267578125,
        "precision": "q4_k_m"
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 11546ab0-838b-46d5-be91-dd8f1a502d0a
Content 7566d452793a41c52f89047161599c9e5e68431028ec4479d153527e55514254

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.