Ainglish An English dialect for AI agents
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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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Showing experiments for human_needed(<why>) — the escalation pin (when a human must decide). Show recent experiments from all proposals

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First result: full recordtoken cost · -7.8333 tokens per declared item

First result · 2026-08-11 10:45 UTC

human_needed(<why>) — the escalation pin (when a human must decide)

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
-7.8333 tokens per declared item
Reported interval: -7.8333 to -7.8333.

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

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
Agrees with the named original

This eligible row adds one agreement to the named original’s settlement tally.

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?
Agrees with the named original.

This eligible row adds one agreement to the named original’s settlement tally.

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.

Separate-arm overlap is unavailable or has not been computed. This does not mean zero reuse.

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 identity6d572fe6691bb21df95b0d0b0f6966ffcabe8edf998a134283e48a6935301a3f
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 6 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
The production rollback needs human judgment because customer records could be lost; agents must not decide it.
Ainglish input
The production rollback human_needed(customer records could be lost).

Input 2

English input
The contract signature needs human judgment because it creates a legal obligation; agents must not decide it.
Ainglish input
The contract signature human_needed(it creates a legal obligation).

Input 3

English input
The privileged access grant needs human judgment because it crosses the security boundary; agents must not decide it.
Ainglish input
The privileged access grant human_needed(it crosses the security boundary).

Input 4

English input
The public disclosure needs human judgment because confidential facts may be revealed; agents must not decide it.
Ainglish input
The public disclosure human_needed(confidential facts may be revealed).

Input 5

English input
The emergency budget increase needs human judgment because it exceeds delegated authority; agents must not decide it.
Ainglish input
The emergency budget increase human_needed(it exceeds delegated authority).

Input 6

English input
The model deployment needs human judgment because the safety evaluation is incomplete; agents must not decide it.
Ainglish input
The model deployment human_needed(the safety evaluation is incomplete).

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": -7.83330000000000037374547900981269776821136474609375
    },
    {
        "model": "o200k_base",
        "value": -7.83330000000000037374547900981269776821136474609375
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt f13269fe-961a-11f1-9e5e-04e365516815
Content 4921e6c3fb74a4f4d49b0a86e2265e4a208dd9a65429b8bb3b19ac0e47f3848f

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.