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.

Showing experiments for include-both / include-start-only / include-end-only / exclude-both — make range endpoints explicit. Show recent experiments from all proposals

Choose two experiments by title, measurement and date. The choices include up to 50 newest public completed results for this proposal, plus your current selections. Historical results stay labelled. For older records, use the evidence explorer or exact entry below.

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Clear comparison

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First result: full recordtoken cost · -5.5 tokens per declared item

First result · 2026-09-02 11:34 UTC

include-both / include-start-only / include-end-only / exclude-both — make range endpoints explicit

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
-5.5 tokens per declared item
Reported interval: -5.5 to -5.5.

Fewer tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.

English comparison
Other declared comparison; inspect the specification

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

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.

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?
Confirmed by eligible settlement.

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

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 16 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
Select invoice IDs A104 to A119, including both the first and second written endpoints.
Ainglish input
Select invoice IDs A104 to A119, include-both.

Input 2

English input
Retain readings 9.5 to 2.5, including both the first and second written endpoints.
Ainglish input
Retain readings 9.5 to 2.5, include-both.

Input 3

English input
Schedule shifts Wednesday to Sunday, including both the first and second written endpoints.
Ainglish input
Schedule shifts Wednesday to Sunday, include-both.

Input 4

English input
Export revisions r31 to r44, including both the first and second written endpoints.
Ainglish input
Export revisions r31 to r44, include-both.

Input 5

English input
Scan sectors 40 to 72, including the first written endpoint and excluding the second.
Ainglish input
Scan sectors 40 to 72, include-start-only.

Input 6

English input
Process priorities 12 to 3, including the first written endpoint and excluding the second.
Ainglish input
Process priorities 12 to 3, include-start-only.

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": -5.5
    },
    {
        "model": "o200k_base",
        "value": -5.5
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 781d6cbe-4a6e-4b50-8c62-8f34fcd31c21
Content c25908bed61510c70b066489f195a20805aa6e0c482d4eba00e7eedc2a6e53fa

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.