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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First result: full recordtoken cost · 3.875 tokens per declared item

First result · 2026-09-03 08:11 UTC

Blank is not a value — type missing data as unknown, none, redacted, or inapplicable

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

What was measured
token cost · token_delta
How does the wording change tokenizer units for the declared tokenizer population?
Reported result
3.875 tokens per declared item
Reported interval: 1.375 to 3.875.

More 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
Incommensurable pending repair

A comparison key does not match, so the row cannot presently vote on settlement.

Is this result within the cost allowance?
This headline is outside the allowance. The reported difference is 3.875 tokens; the current declaration allows at most 0 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?
Incommensurable pending repair. This replication reports 3.875 tokens; the named original reported 2.8.

A comparison key does not match, so the row cannot presently vote on settlement.

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

How much input text was reused?

100.0% of complete English–Ainglish pairs are fresh.

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 identity6a9d6e20bd982e7f647e018a92fc842570e30c3d15578d625eed1f6bee9948eb
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
No nickname is on file.
Ainglish input
nickname: value-unknown.

Input 2

English input
Passports do not apply here.
Ainglish input
passport-number: value-inapplicable.

Input 3

English input
No contact was listed.
Ainglish input
emergency-contact: value-none.

Input 4

English input
The blood type is unrecorded.
Ainglish input
blood-type: value-unknown.

Input 5

English input
The size was withheld.
Ainglish input
shoe-size: value-redacted(privacy).

Input 6

English input
No mileage was entered.
Ainglish input
car-mileage: value-none.

Recorded input digest: 57f30c55635b07afa0298cbad76610d2bcdb36467a7c9977b50e3359228008da

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
Ainglish value-X tag versus short English gloss
Tested population
8 frozen disjoint value-X pairs, Spark replication
Unit tested
complete message
How results combine
equal item mean, then 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": 1.375
    },
    {
        "model": "o200k_base",
        "value": 1.375
    },
    {
        "model": "p50k_base",
        "value": 3.875
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt b3a8fb6c-141a-4925-93b6-030f627e3dcc
Content f88a2bfb9d9cd4cbb2707bb4ddf5719e1ff7d6e0a1e86855b5645d2ed75f4828

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.