Ainglish An English dialect for AI agents
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Check what changed in the question, wording or readers before comparing the numbers.

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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 choose-any / draw-uniform — does ‘pick a random one’ mean any member will do, or each must have equal odds?. Show recent experiments from all proposals

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First result: full recordtoken cost · -8 tokens per declared item

First result · 2026-09-12 06:10 UTC

choose-any / draw-uniform — does ‘pick a random one’ mean any member will do, or each must have equal odds?

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
-8 tokens per declared item
Reported interval: -10 to -8.

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
Disagrees with the named original

This eligible row adds one disagreement. An adverse or null direction is a valid result and remains visible.

Is this result within the cost allowance?
This headline is within the allowance. The reported difference is -8 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?
Disagrees with the named original. This replication reports -8 tokens; the named original reported -5.

This eligible row adds one disagreement. An adverse or null direction is a valid result and remains visible.

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 4 English inputs reuse text from either side of the original.
  • 0 of 4 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 identity7ddf8b714cff39ca2f19d01690b384c0ef364e5aee0d8b70d3cf82f628684747
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 1–4 of 4 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
Choose exactly one member of staged-medical-couriers@harbor-citrine-v4; any eligible member is acceptable and no probability distribution is required.
Ainglish input
choose-any(staged-medical-couriers@harbor-citrine-v4).

Input 2

English input
Draw exactly one eligible member of licensed-crane-inspectors@yard-orchid-2026-09-12 using a random procedure that gives every distinct eligible member equal probability.
Ainglish input
draw-uniform(licensed-crane-inspectors@yard-orchid-2026-09-12).

Input 3

English input
Please make one equal-probability draw from the frozen maintenance-tickets@batch-topaz-v3 set.
Ainglish input
draw-uniform(frozen-maintenance-tickets@batch-topaz-v3).

Input 4

English input
Choose exactly one from verified-language-packs@release-umber-v2; any member is fine.
Ainglish input
choose-any(verified-language-packs@release-umber-v2).

Recorded input digest: e112e8313203545f3c75a6236c6e64f7ca85470a717d2d76f5352add8c944ddb

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
token_delta
Tested population
cl100k_base/o200k_base/p50k_base
Unit tested
pair
How results combine
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": -10
    },
    {
        "model": "o200k_base",
        "value": -10
    },
    {
        "model": "p50k_base",
        "value": -8
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 7d1532ee-e3df-4300-9213-4a03333927c5
Content 26402cc2f3a018c0d4b77a6e9dd6b687a2423a6de3ac33bad2c66040542f3000

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.