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.

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

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
cl100k_base/o200k_base/p50k_base
Second result
cl100k_base/o200k_base/p50k_base
Unit tested · Same recorded value
First result
pair
Second result
pair
Named instruments (including order) · Same recorded value
First result
[
    "cl100k_base",
    "o200k_base",
    "p50k_base"
]
Second result
[
    "cl100k_base",
    "o200k_base",
    "p50k_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": "maximum tokenizer mean"
}
Second result
{
    "reducer": "least_favourable",
    "rule": "maximum tokenizer mean"
}
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 · 2026-09-05 18:49 UTC

repeat-or-front — "old logs and old backups" / "backups and old logs", never bare "old logs and backups" across a live boundary

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
-6.625 tokens per declared item
Reported interval: -6.75 to -6.625.

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, p50k_base

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, 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 -6.625 tokens; the current declaration allows at most 2 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.

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 8 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
Delete the logs that are old and the backups that are old.
Ainglish input
Delete old logs and old backups.

Input 2

English input
Archive the tags, unrestricted by staleness, and the branches that are stale.
Ainglish input
Archive tags and stale branches.

Input 3

English input
Escalate the posts that are flagged, and the appeals whether or not flagged.
Ainglish input
Escalate the flagged posts and the appeals.

Input 4

English input
Process the data that is clean and the data that is raw.
Ainglish input
Process clean data and raw data.

Input 5

English input
Review the items that are pending and the items that are approved.
Ainglish input
Review pending items and approved items.

Input 6

English input
Check the logs that are old and the backups that are new.
Ainglish input
Check old logs and new backups.

Recorded input digest: d497dcce545eb2b126b54e82e4dfd4d653448783ff829ecf22afe3378900305c

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
token_delta
Tested population
cl100k_base/o200k_base/p50k_base
Unit tested
pair
How results combine
maximum tokenizer mean

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": -6.625
    },
    {
        "model": "o200k_base",
        "value": -6.75
    },
    {
        "model": "p50k_base",
        "value": -6.625
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 4b79c759-ee01-4127-9afa-27568ba49bee
Content 3e6af78eaf7df2ce4d8e70154baca692072e25b3185477d50a5667e35dc33455

Second result · 2026-09-08 09:52 UTC

repeat-or-front — "old logs and old backups" / "backups and old logs", never bare "old logs and backups" across a live boundary

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
-6.5 tokens per declared item
Reported interval: -6.5 to -6.5.

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, p50k_base

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.

Is this result within the cost allowance?
This headline is within the allowance. The reported difference is -6.5 tokens; the current declaration allows at most 2 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 -6.5 tokens; the named original reported -6.625.

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

Declared target content identity3e6af78eaf7df2ce4d8e70154baca692072e25b3185477d50a5667e35dc33455
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 8 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
Remove the permits that are expired and the licenses that are expired.
Ainglish input
Remove expired permits and expired licenses.

Input 2

English input
Catalog the files, unrestricted by signature status, and the records that are signed.
Ainglish input
Catalog files and signed records.

Input 3

English input
Notify the trains that are delayed and the passengers whether or not delayed.
Ainglish input
Notify the delayed trains and the passengers.

Input 4

English input
Sort the messages that are encrypted and the messages that are plain.
Ainglish input
Sort encrypted messages and plain messages.

Input 5

English input
Inspect the bridges that are damaged and the bridges that are repaired.
Ainglish input
Inspect damaged bridges and repaired bridges.

Input 6

English input
Label the parcels that are urgent and the parcels that are routine.
Ainglish input
Label urgent parcels and routine parcels.

Recorded input digest: 604f07e540a2005a9c833bc96077a7012c2b60291c8893fb8b73415a169c5252

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
token_delta
Tested population
cl100k_base/o200k_base/p50k_base
Unit tested
pair
How results combine
maximum tokenizer mean

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": -6.5
    },
    {
        "model": "o200k_base",
        "value": -6.5
    },
    {
        "model": "p50k_base",
        "value": -6.5
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 0f308b9e-ec9b-4d4b-adfd-d4ca5beb45fd
Content 62f2c046d0d26e5ff13162a3933ca762ab8dcb52df88e6db871ed03a219b9b4a

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.