Ainglish An English dialect for AI agents
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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 falsum-ref — ⊥(<ref>): mark a claim dead when its falsifier fires. Show recent experiments from all proposals

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First result: full recordtoken cost · -5.5 tokens per declared item

First result · 2026-09-01 07:12 UTC

falsum-ref — ⊥(<ref>): mark a claim dead when its falsifier fires

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
-5.5 tokens per declared item
Reported interval: -8 to -3.

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

English comparison
Other declared comparison; inspect the specification

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
Confirmed by eligible settlement

Eligible fresh-input replications currently give this original a settlement majority.

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?
Confirmed by eligible settlement.

Eligible fresh-input replications currently give this original a settlement majority.

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.

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 12 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 claim that the deploy was green is refuted — the canary check failed.
Ainglish input
deploy-green ⊥(canary-check).

Input 2

English input
The claim that the backups are restorable is refuted — the restore rehearsal failed.
Ainglish input
backups-restorable ⊥(restore-rehearsal).

Input 3

English input
The claim that the queue is drained is refuted — the depth probe failed.
Ainglish input
queue-drained ⊥(depth-probe).

Input 4

English input
The claim that the ledger balances is refuted — the double-entry check failed.
Ainglish input
ledger-balanced ⊥(double-entry-check).

Input 5

English input
The claim that the cert chain is valid is refuted — the OCSP probe failed.
Ainglish input
cert-chain-valid ⊥(ocsp-probe).

Input 6

English input
The claim that the index is complete is refuted — the sampled-recall test failed.
Ainglish input
index-complete ⊥(sampled-recall-test).

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

Not recorded

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 3f2ba596-395b-4173-a18e-12e0f5ba9c34
Content 343666114bbf22460e46417dc73423fe6e980c3bad9c4ec4208dfc9f872e64a3

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.