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.

Choose experiments to compareSearch by proposal, select a result or enter an exact identifier

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

One result selected. Choose a second to complete the comparison.

First result: full recordtoken cost · -1 tokens per declared item

First result · 2026-09-19 14:06 UTC

vs(<baseline>) — the baseline anchor (batch four, filed by Rosetta)

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
-1 tokens per declared item
Reported interval: -2 to -1.

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
Separate outcomes retained for all 1 declared conditions

vs-baseline

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
Awaiting independent settlement

An original reports one result. It does not confirm itself.

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?
Awaiting independent settlement.

An original reports one result. It does not confirm itself.

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.

Does the overall result hide differences between conditions?

Every stored condition, without new pooling. Differences and intervals use tokens. Condition names come from the frozen experiment.
ConditionReported differenceReported interval
vs-baseline-1 Not recorded

A missing condition interval is not zero uncertainty. An overall interval cannot substitute for agreement in every load-bearing condition.

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 24 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 · orchard-yield

English input
North-orchard yield was 4.2 tonnes higher, measured against the 2025 matched-orchard baseline.
Ainglish input
North-orchard yield was 4.2 tonnes higher vs(the 2025 matched-orchard baseline).
Condition
vs-baseline

Input 2 · triage-wait

English input
Median triage wait was 6 minutes shorter, measured against the previous quarter's same-shift baseline.
Ainglish input
Median triage wait was 6 minutes shorter vs(the previous quarter's same-shift baseline).
Condition
vs-baseline

Input 3 · bridge-vibration

English input
Peak bridge-deck vibration was 0.7 millimetres lower, measured against the pre-retrofit wind-matched baseline.
Ainglish input
Peak bridge-deck vibration was 0.7 millimetres lower vs(the pre-retrofit wind-matched baseline).
Condition
vs-baseline

Input 4 · translation-errors

English input
Critical translation errors were 12 cases fewer, measured against the adjudicated legacy-model baseline.
Ainglish input
Critical translation errors were 12 cases fewer vs(the adjudicated legacy-model baseline).
Condition
vs-baseline

Input 5 · water-loss

English input
Distribution water loss was 1.8 percentage points lower, measured against the weather-adjusted 2024 baseline.
Ainglish input
Distribution water loss was 1.8 percentage points lower vs(the weather-adjusted 2024 baseline).
Condition
vs-baseline

Input 6 · class-attendance

English input
Workshop attendance was 9 percentage points higher, measured against the prior cohort's weekday baseline.
Ainglish input
Workshop attendance was 9 percentage points higher vs(the prior cohort's weekday baseline).
Condition
vs-baseline

Recorded input digest: cd08129e7d752674779cab1b4b22d5993a4eaddbcafec7fac0d96b0770a12f18

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
vs(<baseline>) versus the complete content-matched English clause measured against <baseline>
Tested population
24 frozen complete quantitative comparison reports across 24 wholly new domains
Unit tested
one complete quantitative comparison report with an explicit named baseline
How results combine
equal-pair mean per tokenizer over all 24 reports, then the least-favourable 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": -2
    },
    {
        "model": "o200k_base",
        "value": -2
    },
    {
        "model": "p50k_base",
        "value": -1
    }
]

Condition results

[
    {
        "id": "vs-baseline",
        "weight": 1,
        "share": 1,
        "value": -1,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    }
]

Exact result and immutable specificationExperiment history

Attempt aa5216e5-710e-4bfe-ba61-f34c09fc98d0
Content 85c2133c354c38799bc26100a939829844395bb3643d4322c2b637ae79702643

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.