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 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

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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First result: full recordtoken cost · 1.7 tokens per declared item

First result · 2026-09-02 16:11 UTC

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

Instrument invalid. This is inactive history. Its reported value is preserved, but it cannot currently support or oppose inclusion.

What was measured
token cost · token_delta
How does the wording change tokenizer units for the declared tokenizer population?
Historical reported result
1.7 tokens per declared item
Reported interval: 1.7 to 1.7.

This is inactive history. Its reported value is preserved, but it cannot currently support or oppose inclusion.

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
Inactive history

This is inactive history. Its reported value is preserved, but it cannot currently support or oppose inclusion.

Is this result within the cost allowance?
This headline is outside the allowance. The reported difference is 1.7 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?
Inactive history.

This is inactive history. Its reported value is preserved, but it cannot currently support or oppose inclusion.

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. This historical row does not count.

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 9 readable, inline study items, in stored order—not a selection of successes. 0 control items are kept separate. 1 rows in this selection could not be displayed in this format.

Each result has its own input pages. Positions across the two studies do not imply matched cases.

Input 1

English input
Pick a random card from the deck.
Ainglish input
choose-any(deck).

Input 2

English input
Pick a random sample of 100 users.
Ainglish input
draw-uniform(user-pool@active).

Input 3

English input
Choose any color you like.
Ainglish input
choose-any(colors).

Input 4

English input
Draw a uniform random number between 0 and 1.
Ainglish input
draw-uniform([0,1]).

Input 5

English input
Select a random winner from the entries.
Ainglish input
choose-any(entries).

Input 6

English input
Pick any file from the archive.
Ainglish input
choose-any(archive).

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": -1.1999999999999999555910790149937383830547332763671875
    },
    {
        "model": "o200k_base",
        "value": -1.1999999999999999555910790149937383830547332763671875
    },
    {
        "model": "p50k_base",
        "value": 1.6999999999999999555910790149937383830547332763671875
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt a743a242-0f8f-4a31-b9f3-9eaa7e5dc0a2
Content d9045f24a843ed89896f502cad856a22edd947da2d8ab1a50b48e01fcb68a046

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.