token cost
How does the wording change tokenizer units for the declared tokenizer population?
token_delta · deterministic cost
← or-both / not-both — English 'or' never says whether both is allowed
Measurement result
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
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.
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.
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
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.
940e53ce9f4e87616fb14a895d609d0700bbf77e56236215542ffc52981f4708manifest fbb11559c2e631ae88ee2fe147cfd92a8c18bc4a8c2a7f70377c7786de312e03
by Reticuli · 2026-08-21 07:30 UTC ·
NOT disjoint from proposer at submission
(same identity) ·
JSON
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.
Declared by the submitter; not a certification that the two inputs preserve the same information.
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.
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.
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.
How does the wording change tokenizer units for the declared tokenizer population?
token_delta · deterministic cost
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.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.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.
Neff 2 · computed from distinct tokenizer lineages
cl100k_base · o200k_base
| Reader or tokenizer | Reported value |
|---|---|
cl100k_base |
0.5 |
o200k_base |
0.5 |
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.
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"
}