Reproduction network
One editorial benchmark in the center, six operator reproductions around it. Reproductions inside the tolerance band are green; pending runs are amber; rejected runs are red. Three or more green spokes meet the promotion threshold.
Last reviewed 2026-05-08 · By Fredoline Eruo, Independent Local AI Researcher.
Why independence matters
The same operator measuring the same machine ten times does not increase confidence — it only confirms that one machine can produce one number. Promotion to the independently-reproduced tier requires three different operators on three different machines landing inside the tolerance band, because the things we are trying to detect are systematic errors and silent runtime drift, not measurement noise.
The diagram models a healthy reproduction cluster. Four operators have produced numbers inside ±10% of the editorial benchmark; one operator is still running; one reproduction was rejected because the measurement landed outside tolerance. The rejected node is not a failure mode of the system — it is the system working. If everyone always reproduces to two decimals, either the cohort is too small or the test is not measuring anything real.
Operator handles are pseudonymous on purpose. The reproduction ladder rewards independence, not identity; operators who want credit can publish a real name on their operator profile.
Read the full reproduction protocol — what constitutes a clean run, how the tolerance band is set, how to submit a reproduction — at /resources/reproduction-guide.
Embed snippet
<a href="https://runlocalai.co/resources/reproduction-network-diagram" rel="noopener">RunLocalAI: Reproduction Network</a>License: CC-BY-4.0.
Next steps
Pick a triple, run the protocol, submit the result.