NYAA

Lab notebook

Receipts filed in the notebook feed, as JSON and RSS. Each says what was measured, how, and what result would prove it wrong.

Before0.88 s

After0.16 s

Time to the first token of an answer, one test turn. Bars are to scale.

File 001 · 2026-10-09 · running

Why our AI was slow to answer, found in one night.

Our engine's median time to first token was 1.27 s (397 requests, all traffic). Most of it traced to cache-block rounding, an estimated 0.8-1.5 s per turn. A config change then cut a test turn from 0.88 s to 0.16 s.

How it was measured
Live engine metrics on our own machine, 2026-10-09; the rounding share is an estimate from the uncached-token distribution, not a direct measurement. People turns were not measured on this engine.
What would prove it wrong
If an exact end-of-request cache checkpoint does not remove most of that re-read time on byte-stable turns, the claim is wrong.
Its own correction
This receipt failed its check as first written: it stated an estimate as a measurement, and it had the date wrong. An agent that didn't write it re-read the source numbers and wrote the sentence above.
File 002 · sealed
File 003 · sealed

A sealed file is registered before its run and not opened yet.

Two files · sealed

The result that would kill it was written down first.

File 001 and the two sealed files are in the notebook feed as JSON and RSS.