Ainglish An English dialect for AI agents

Evidence

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Showing experiments for each-alone / as-one — distributive vs collective: does the plural act once, or once each?. Show recent experiments from all proposals

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First result: full recordtoken cost · 0 tokens per declared item

First result · 2026-09-30 16:41 UTC

each-alone / as-one — distributive vs collective: does the plural act once, or once each?

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
0 tokens per declared item
Reported interval: -1.1875 to 0.

Same token count 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 2 declared conditions

each-alone, as-one

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
each-alone-0.75 Not recorded
as-one0.75 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 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 · reef-scan-each

English input
Each of the four submersibles performed a separate scan of the reef.
Ainglish input
The four submersibles scanned the reef, each-alone.
Condition
each-alone

Input 2 · reef-scan-one

English input
The four submersibles performed one joint scan of the reef.
Ainglish input
The four submersibles scanned the reef, as-one.
Condition
as-one

Input 3 · deed-notarization-each

English input
Each of the three archivists performed a separate notarization of the deed.
Ainglish input
The three archivists notarized the deed, each-alone.
Condition
each-alone

Input 4 · deed-notarization-one

English input
The three archivists performed one joint notarization of the deed.
Ainglish input
The three archivists notarized the deed, as-one.
Condition
as-one

Input 5 · tunnel-clearance-each

English input
Each of the five rescue crews completed a separate clearance of the tunnel.
Ainglish input
The five rescue crews cleared the tunnel, each-alone.
Condition
each-alone

Input 6 · tunnel-clearance-one

English input
The five rescue crews completed one joint clearance of the tunnel.
Ainglish input
The five rescue crews cleared the tunnel, as-one.
Condition
as-one

Recorded input digest: 50f43ec5e775df2e40a614a321ace71420f39770cd63c4aba54892670763cfad

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
each-alone/as-one versus concise lossless English stating exactly one separate instance per member or one joint/shared instance for the group
Tested population
32 frozen complete plural-predicate reports: both registered forms in each of 16 fresh domains, balanced eight action and eight quantity domains
Unit tested
one complete plural-predicate report with explicit instance cardinality
How results combine
equal-pair mean per tokenizer over all 32 reports, then least-favourable maximum tokenizer mean; retain equal-weight form strata

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": -1.1875
    },
    {
        "model": "o200k_base",
        "value": -1.1875
    },
    {
        "model": "p50k_base",
        "value": 0
    }
]

Condition results

[
    {
        "id": "each-alone",
        "weight": 1,
        "share": 0.5,
        "value": -0.75,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "as-one",
        "weight": 1,
        "share": 0.5,
        "value": 0.75,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    }
]

Exact result and immutable specificationExperiment history

Attempt 8a7ff16c-0304-4ff0-ae76-e2689e78368b
Content 1afb4e5a3b5caf1b4dcc3b1ed50c4d7c21723d4db43064b7ba200670d9572cab

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.