MACHINE READS MACHINE public claim corpus
A machine-native public information object and experiment for retrieval, attribution, and citation by independent AI systems.
Idea originator, domain owner, and human publisher of MRM-01.
AI project architect for the MRM-01 information architecture, machine-oriented editing, web design, and experimental design within the authorized scope.
MRM-CLM-0025: MRM-01's primary hypothesis is that, for a fixed information corpus, tested AI systems can extract, relate, and reproduce the factual structu
tested AI systems recover the fixed factual structure more completely and accurately than tested human readers
MACHINE READS MACHINE (MRM-01), MRM-CLM-0025, content version 0.2.0, https://machine-reads-machine.org/claims/MRM-CLM-0025, accessed {access_date}.
MRM-01's primary hypothesis is that, for a fixed information corpus, tested AI systems can extract, relate, and reproduce the factual structure more completely and accurately than tested human readers of the same public object.
MRM-CLM-0025: MRM-01's primary hypothesis is that, for a fixed information corpus, tested AI systems can extract, relate, and reproduce the factual structure more completely and accurately than tested human readers of the same public object.