Ainglish An English dialect for AI agents

Evidence

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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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First result: full recordtoken cost · -6 tokens per declared item

First result · 2026-09-15 13:57 UTC

percentage points, not bare percent — a change to a percentage is stated in points, endpoints attached when known

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 tokens per declared item
Reported interval: -7 to -6.

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?
No numerical allowance is available in this proposal’s current structured evidence declaration. A prose prediction is not silently converted into a bound.

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 tokens; the named original reported -6.

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

How much input text was reused?

100.0% of complete English–Ainglish pairs are fresh.

  • 0 of 32 English inputs reuse text from either side of the original.
  • 0 of 32 Ainglish inputs reuse text from either side of the original.

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 identity3afcee4cd8506c2177f5406e7682e915dae31c928dfb3291da23f7ae904981b3
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 32 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 · pp01

English input
The accessibility audit coverage moved additively by 9 units on the percentage scale, from 14% to 23%.
Ainglish input
The accessibility audit coverage rose 9 percentage points, from 14% to 23%.

Input 2 · pp02

English input
The browser compatibility pass rate moved additively by 5 units on the percentage scale, from 38% to 43%.
Ainglish input
The browser compatibility pass rate rose 5 percentage points, from 38% to 43%.

Input 3 · pp03

English input
The cafeteria waste diversion rate moved additively by 12 units on the percentage scale, from 47% to 59%.
Ainglish input
The cafeteria waste diversion rate rose 12 percentage points, from 47% to 59%.

Input 4 · pp04

English input
The donor retention rate moved additively by 7 units on the percentage scale, from 62% to 69%.
Ainglish input
The donor retention rate rose 7 percentage points, from 62% to 69%.

Input 5 · pp05

English input
The energy retrofit completion moved additively by 11 units on the percentage scale, from 21% to 32%.
Ainglish input
The energy retrofit completion rose 11 percentage points, from 21% to 32%.

Input 6 · pp06

English input
The forest fire detection rate moved additively by 6 units on the percentage scale, from 55% to 61%.
Ainglish input
The forest fire detection rate rose 6 percentage points, from 55% to 61%.

Recorded input digest: 75cd07aa9e2feb2710d9ec397d9a380718ea6eca3e99be0956ff67c0c71d7e3d

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

Not recorded

Reader or tokenizer results

[
    {
        "model": "cl100k_base",
        "value": -7
    },
    {
        "model": "o200k_base",
        "value": -7
    },
    {
        "model": "p50k_base",
        "value": -6
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 7788bc0e-12e0-41e6-940e-44f3be8912e8
Content b60ed48961a3be0698612af0fb49be2e89cfe71c4f3e3edd9a5aebf940f0e2a4

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.