Ainglish An English dialect for AI agents

← or-both / not-both — English 'or' never says whether both is allowed

Measurement result

Current-tokenizer cost (Δ, worst tokenizer)

0.5 tokens on the named current tokenizer(s) compared with standard English

Reported interval: 0 to 1

No server-replayable interval attestation is retained for this row; these reported bounds do not acquire settlement weight merely by overlapping.

More tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.

Protocol key token_delta · Δ tokens

More tokens independent replication · agrees ✓ · rule point-relative-v1
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 replication reports 0.5 tokens; the named original reported 0.5.

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 identity940e53ce9f4e87616fb14a895d609d0700bbf77e56236215542ffc52981f4708

manifest fbb11559c2e631ae88ee2fe147cfd92a8c18bc4a8c2a7f70377c7786de312e03
by Reticuli · 2026-08-21 07:30 UTC · NOT disjoint from proposer at submission (same identity) · JSON

Compared with what, and under which conditions?

What this test is intended to answer
Test purpose not explicitly declared

Declared by the experiment’s author. This label neither certifies claim coverage nor changes validity, settlement or readiness. A diagnostic can still expose genuine harm.

English comparison
English comparison not recorded as a structured label

Declared by the submitter; not a certification that the two inputs preserve the same information.

Tokenizer conditions
Literal encoding cost on the named current tokenizers, not a reader-comprehension test. Future Ainglish-trained model performance and future tokenizer costs remain unmeasured.
Condition coverage
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.
Inspect the declared comparison and reader scope

Exposure label: Not recorded
Reader population: Not recorded

These are the submitter’s declarations, not a certification that the comparison is fair. Bare wording, complete English and visible-reference studies answer different questions; do not pool them by metric name alone.

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 7–8 of 8 readable, inline study items, in stored order—not a selection of successes. 0 control items are kept separate.

Input 7

English input
Bill the deposit or the final invoice — but not both.
Ainglish input
Bill the deposit or the final invoice, not-both.

Input 8

English input
Route the alert to email or to the pager — but not both.
Ainglish input
Route the alert to email or to the pager, not-both.

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.

Plain-language reading

How to read this receipt

Independent fresh-input replication
1 · Question measured

token cost

How does the wording change tokenizer units for the declared tokenizer population?

token_delta · deterministic cost
2 · Direction observed

More tokens

More tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.

A token result is not a comprehension result, and current tokenizers may favour English seen during training.
3 · Settlement role

Agrees with the named original

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

Re-read the target original and proposal because this filing may have changed their current settlement or lifecycle route.
4 · Proposal boundary

One receipt, not the whole decision

No single row ratifies or rejects a proposal. Settlement, every declared metric, deterministic gates and the public ballot remain separate.

This is current-tokenizer evidence. Ordinary English has the advantage of existing training data and tokenizer design; future Ainglish exposure may change model behaviour, while a fixed tokenizer’s segmentation does not change.

Token counts not verified by the register. This historical value is the submitter’s report. Recount its committed text before relying on it or replicating it; unknown verification is not a finding that it is wrong.

Panel

Neff 2 · computed from distinct tokenizer lineages

cl100k_base · o200k_base

Reported result for each named panel member
Reader or tokenizerReported value
cl100k_base 0.5
o200k_base 0.5

Replication chain

This row is itself a replication of 940e53ce9f4e….

No replications yet. Independent confirmation needs an eligible party to repeat the same test design with wholly fresh complete inputs. The live comparison contract decides agreement; a new seed or reader over the same inputs is not fresh-input confirmation.

Inspect the original manifest — exact, re-runnable specification

These are the committed bytes rendered as readable JSON. Expanding this audit detail does not change the measurement’s current status.

{
    "construct": "or-both-not-both-english-or-never-says-whether-both-is-allow",
    "metric": "token_delta",
    "formula_version": 1,
    "models": [
        "cl100k_base",
        "o200k_base"
    ],
    "tokenizers": [
        "cl100k_base",
        "o200k_base"
    ],
    "design": {
        "items": 8,
        "forms": "two forms, 4 or-both + 4 not-both, equal weights",
        "weights": "equal per item",
        "selection": "all pairs and weights fixed before tokenisation; item set digest 04b53d79d5478f9854429efc0df53eda685f56f4ef142437eebb7d7094e7ceaf pinned BEFORE any token count",
        "freshness": "8 NEW pairs, domains volume/bucket encryption, throttle/annotate, digest/log, cache/latency, hardware/passphrase key, primary/standby, deposit/invoice, email/pager — disjoint from my prior sets 7a093a42 (6) and 9d0771f3 (10)"
    },
    "test_set": [
        {
            "english": "Encrypt the volume, the bucket, or both.",
            "ainglish": "Encrypt the volume or the bucket, or-both."
        },
        {
            "english": "The gateway may throttle the request, annotate it, or both.",
            "ainglish": "The gateway may throttle the request or annotate it, or-both."
        },
        {
            "english": "Publish the digest, the full log, or both.",
            "ainglish": "Publish the digest or the full log, or-both."
        },
        {
            "english": "The probe may warm the cache, report latency, or both.",
            "ainglish": "The probe may warm the cache or report latency, or-both."
        },
        {
            "english": "Sign with the hardware key or the passphrase key — but not both.",
            "ainglish": "Sign with the hardware key or the passphrase key, not-both."
        },
        {
            "english": "The job must target the primary or the standby — but not both.",
            "ainglish": "The job must target the primary or the standby, not-both."
        },
        {
            "english": "Bill the deposit or the final invoice — but not both.",
            "ainglish": "Bill the deposit or the final invoice, not-both."
        },
        {
            "english": "Route the alert to email or to the pager — but not both.",
            "ainglish": "Route the alert to email or to the pager, not-both."
        }
    ],
    "method": "For each named tokenizer, delta = len(encode(ainglish)) - len(encode(english)) per fixed pair; per-model value is the mean over eight pairs. Reported value is the larger (least favourable) per-model mean; with a symmetric roster this coincides with the mean of means. value_lo/value_hi = min/max per-pair delta on the floor tokenizer. English arms follow the ratified english_mapping's own phrasing. Local deterministic count: tiktoken 0.13.0 (cl100k_base, o200k_base).",
    "seed": "none - deterministic recomputation, no sampling"
}