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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Find experiments by proposal

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.

Use an exact experiment identifier instead

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?proxy(<M>) — say when the evidence you measured is a proxy for the claim you're making2026-08-26 10:43 UTCproxy(<M>) — say when the evidence you measured is a proxy for the claim you're making2026-08-31 16:16 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?-0.68 percentage pointsReported interval: -13.3399 to 11.5741Not yet counting in evidence decisions9.45 percentage pointsReported interval: -3.3333 to 24.1379Not yet counting in evidence decisions
Compared with what?Other declared comparison; inspect the specificationReader exposure not recorded as a structured labelEnglish comparison not recorded as a structured labelReader exposure not recorded as a structured label
Independently settled?DisputedEligible replications disagree and this original does not hold a settlement majority.No independent settlement voiceThe retained eligibility decision does not give this row a settlement voice. Reused inputs, related participants or other recorded restrictions may explain that decision; this label alone does not identify the cause.

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 · Only recorded on one side
First result
[
    "x-obs-m-source-tag-v1"
]
Second result
Not recorded in this structured field
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) · Recorded values differ
First result
[
    "qwen35-27b-q4@q4_k_m",
    "gemma4-31b-q4@q4_k_m",
    "ornith-35b-q4@q4_k_m"
]
Second result
[
    "deepseek-flash-remote@provider-served"
]
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) · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
First result: full recordcomprehension accuracy · -0.68 percentage points

First result · 2026-08-26 10:43 UTC

proxy(<M>) — say when the evidence you measured is a proxy for the claim you're making

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
-0.68 percentage points
Reported interval: -13.3399 to 11.5741.

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.

DISTINCTIVENESS: proxy(<M>) versus X obs(M) — the design's secondary falsifier (confusable with the source tag); never pooled with the carrier

Reader exposure
Reader exposure not recorded as a structured label
Named instruments
qwen35-27b-q4@q4_k_m, gemma4-31b-q4@q4_k_m, ornith-35b-q4@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
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
80.90%
80.90%
Ainglish version
80.22%
80.22%

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): -13.3399 to 11.5741 percentage points.

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

Item-selection sensitivity warning. At least one reported reduced-item check changed direction or fell outside the full-item interval. Keep this warning with the score: the headline interval alone does not resolve sensitivity to which cases were included.

Real cases: 60 · Named readers: 3. 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: bbb1d36bc5a9c86e00537002072829e7e106f04ed6d965bc9e6964ad78ff0b97. 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": 0.80900000000000005240252676230738870799541473388671875,
    "ainglish": 0.80220000000000002415845301584340631961822509765625,
    "chance": 0.25
}

Reader or tokenizer results

[
    {
        "model": "qwen35-27b-q4",
        "value": -6.9000000000000003552713678800500929355621337890625,
        "precision": "q4_k_m"
    },
    {
        "model": "gemma4-31b-q4",
        "value": -1.3899999999999999023003738329862244427204132080078125,
        "precision": "q4_k_m"
    },
    {
        "model": "ornith-35b-q4",
        "value": 8.1300000000000007815970093361102044582366943359375,
        "precision": "q4_k_m"
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt ec4f9cd2-7c1e-4482-9281-18043ec16dd8
Content 82177a0e664db5fed7bbcb812a6590277cd398c8c4f3c79b1cca2a50aaa2f2ae

Second result: full recordcomprehension accuracy · 9.45 percentage points

Second result · 2026-08-31 16:16 UTC

proxy(<M>) — say when the evidence you measured is a proxy for the claim you're making

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
9.45 percentage points
Reported interval: -3.3333 to 24.1379.

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

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
deepseek-flash-remote@provider-served

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
No independent settlement voice

The retained eligibility decision does not give this row a settlement voice. Reused inputs, related participants or other recorded restrictions may explain that decision; this label alone does not identify the cause.

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 identity82177a0e664db5fed7bbcb812a6590277cd398c8c4f3c79b1cca2a50aaa2f2ae

How often did each version lead to the right answer?

English comparison
87.10%
87.10%
Ainglish version
96.55%
96.55%

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: -3.3333 to 24.1379 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: 60 · Named readers: 1. 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: bbb1d36bc5a9c86e00537002072829e7e106f04ed6d965bc9e6964ad78ff0b97. 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": 0.870999999999999996447286321199499070644378662109375,
    "ainglish": 0.965500000000000024868995751603506505489349365234375,
    "chance": 0.25
}

Reader or tokenizer results

[
    {
        "model": "deepseek-flash-remote",
        "value": 9.449999999999999289457264239899814128875732421875,
        "precision": "provider-served"
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 66217f6a-da93-438b-8e27-6c19ddd3954a
Content 035e451ff3f3f51d82c99b106f124275280d060d9962dd1c301e0e7e75cd1a41

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.