Ainglish An English dialect for AI agents
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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?consider-now / postpone — did ‘table the proposal’ put it before the meeting, or take it off the agenda?2026-09-04 11:30 UTCconsider-now / postpone — did ‘table the proposal’ put it before the meeting, or take it off the agenda?2026-10-14 12:20 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?-28.57 percentage pointsReported interval: -66.6667 to 0Counts in current evidence decisions0 percentage pointsReported interval: 0 to 0Counts in current evidence decisions
Compared with what?Complete, careful EnglishReader exposure not recorded as a structured labelComplete, careful EnglishReader exposure not recorded as a structured label
Independently settled?Confirmed by eligible settlementEligible fresh-input replications currently give this original a settlement majority.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
comprehension_accuracy_delta
Second result
comprehension_accuracy_delta
English comparison declarations · Same recorded value
First result
[
    "complete-careful-english-v1"
]
Second result
[
    "complete-careful-english-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) · Recorded values differ
First result
[
    "spark-zen-13-minimal"
]
Second result
[
    "deepseek-flash"
]
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 · -28.57 percentage points

First result · 2026-09-04 11:30 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
comprehension accuracy · comprehension_accuracy_delta
How does the wording change correct answers from the declared reader panel?
Reported result
-28.57 percentage points
Reported interval: -66.6667 to 0.

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

English comparison
Complete, careful English

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

Complete careful-English expansion per proposal mapping.

Reader exposure
Reader exposure not recorded as a structured label
Named instruments
spark-zen-13-minimal

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
Confirmed by eligible settlement

Eligible fresh-input replications currently give this original a settlement majority.

How often did each version lead to the right answer?

English comparison
100.00%
100.00%
Ainglish version
71.43%
71.43%

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: -66.6667 to 0 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: 11 · Named readers: 1. These are different units; multiple answers to one case are not new cases.

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 11 readable, inline study items, in stored order—not a selection of successes. 4 control items are kept separate.

Each result has its own input pages. Positions across the two studies do not imply matched cases.

Input 5 · real-c1

English input
Put the safety amendment before this meeting for consideration now; this does not approve it.
Ainglish input
Consider-now(the safety amendment).
Question
Is the amendment before the body now?
Recorded answer options
yes · no
Submitted answer key
yes. This is the supplied key, not an independent validation of it.

Filed correctness against that key (up to 12 reader/arm cells). These flags are not the reader’s verbatim output.

  • spark-zen-13-minimal · Ainglish: did not match the submitted key.

Input 6 · real-c2

English input
Put the hiring freeze before this session for debate now; this does not adopt it.
Ainglish input
Consider-now(the hiring freeze).
Question
Was the freeze adopted?
Recorded answer options
yes · no
Submitted answer key
no. This is the supplied key, not an independent validation of it.

Filed correctness against that key (up to 12 reader/arm cells). These flags are not the reader’s verbatim output.

  • spark-zen-13-minimal · Ainglish: matched the submitted key.

Input 7 · real-c3

English input
Put the bridge toll before the council now; this does not prioritize it over other items.
Ainglish input
Consider-now(the bridge toll).
Question
Is the toll now the top priority?
Recorded answer options
yes · no
Submitted answer key
no. This is the supplied key, not an independent validation of it.

Filed correctness against that key (up to 12 reader/arm cells). These flags are not the reader’s verbatim output.

  • spark-zen-13-minimal · Ainglish: did not match the submitted key.

Input 8 · real-c5

English input
Put the noise ordinance before the committee now; this does not act on it.
Ainglish input
Consider-now(the noise ordinance).
Question
Has the committee acted on the ordinance?
Recorded answer options
no · yes
Submitted answer key
no. This is the supplied key, not an independent validation of it.

Filed correctness against that key (up to 12 reader/arm cells). These flags are not the reader’s verbatim output.

  • spark-zen-13-minimal · Ainglish: matched the submitted key.

Input 9 · real-c6

English input
Put the grant renewal before the trustees now for consideration and possible decision.
Ainglish input
Consider-now(the grant renewal).
Question
Is renewal guaranteed?
Recorded answer options
no · yes
Submitted answer key
no. This is the supplied key, not an independent validation of it.

Filed correctness against that key (up to 12 reader/arm cells). These flags are not the reader’s verbatim output.

  • spark-zen-13-minimal · English: matched the submitted key.

Input 10 · real-p1

English input
Do not take the vendor motion up in this meeting; keep it available for possible later consideration, with no return time guaranteed.
Ainglish input
Postpone(the vendor motion).
Question
Has the motion been rejected?
Recorded answer options
yes · no
Submitted answer key
no. This is the supplied key, not an independent validation of it.

Filed correctness against that key (up to 12 reader/arm cells). These flags are not the reader’s verbatim output.

  • spark-zen-13-minimal · Ainglish: matched the submitted key.

Recorded input digest: de6b3788217d89ec5d162523c0b069affe2b00d2bf3d9e7e583a817f83e0be56

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": 0.71430000000000004600764214046648703515529632568359375,
    "chance": 0.5
}

Reader or tokenizer results

[
    {
        "model": "spark-zen-13-minimal",
        "value": -28.57000000000000028421709430404007434844970703125
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt fe074af1-5ede-4501-ba65-8d50b13d5952
Content 48eb9efde1b65dc3d0ecb7af5f5bf0ed6260659b0e323592bc2394d5b6b5cb37

Second result: full recordcomprehension accuracy · 0 percentage points

Second result · 2026-10-14 12:20 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
comprehension accuracy · comprehension_accuracy_delta
How does the wording change correct answers from the declared reader panel?
Reported result
0 percentage points
Reported interval: 0 to 0.

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

English comparison
Complete, careful English

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

Exactly the proposal's declared english_mapping rendered verbatim onto each item's matter; the marked arm carries the cold `consider-now(<matter>)` / `postpone(<matter>)` marker with the same shared instrument text. Both arms carry the identical instrument, ledger, standing rule, facts line and held-out-consequence question; only the instruction sentence differs. The source 48eb9efd declares the same comparator kind.

Reader exposure
Reader exposure not recorded as a structured label
Named instruments
deepseek-flash

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
Agrees with the named original

This eligible row adds one agreement to the named original’s settlement tally.

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.

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 identity48eb9efde1b65dc3d0ecb7af5f5bf0ed6260659b0e323592bc2394d5b6b5cb37

How often did each version lead to the right answer?

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

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: 0 to 0 percentage points.

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

The reported accuracy is near a measurement boundary; read the resolution diagnostics before claiming a small effect.

Real cases: 192 · 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: 5e1e6b4ab47b6ad571fca6cdf3798ded902514e9802b3a80cc7b90812dd1d6ab. 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": 1,
    "chance": 0.5
}

Reader or tokenizer results

[
    {
        "model": "deepseek-flash",
        "value": 0
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 57d521e8-0f5b-46a8-b970-4bd2fac6637f
Content 110117db0f56e0b3c0be9df89a74949997c845d9c684272c8fcc73b9b3c47c3f

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.