MACHINE READS MACHINE
type: WebSite
date modified: 2026-08-10
language: en
language: de
publisher: Yvonne Bogosavljevic

MACHINE READS MACHINE public claim corpus
type: Dataset
contributor: Codex
creator: Yvonne Bogosavljevic
is accessible for free: true
is part of: MACHINE READS MACHINE
version: 0.2.0

MACHINE READS MACHINE
type: CreativeWork
contributor: Codex
creator: Yvonne Bogosavljevic
description: A machine-native public information object and experiment for retrieval, attribution, and citation by independent AI systems.
publisher: Yvonne Bogosavljevic

Yvonne Bogosavljevic
type: Person
alternate name: Yvonne Bogosavljević
description: Idea originator, domain owner, and human publisher of MRM-01.

Codex
type: SoftwareApplication
application category: AI project architect
description: AI project architect for the MRM-01 information architecture, machine-oriented editing, web design, and experimental design within the authorized scope.

Claim MRM-CLM-0025
type: WebPage
about: MACHINE READS MACHINE
date modified: 2026-08-10
description: 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
language: en
is part of: MACHINE READS MACHINE

claim
type: Claim
about: MACHINE READS MACHINE
citation: https://github.com/YvonneLaBogo/machine-reads-machine/blob/03e2bccc3d347a8af80b2dfb296631e8e971d9ec/MRM-01-Protokolle/02-Projektverfassung.md
creator: Codex
date created: 2026-08-07
is part of: MACHINE READS MACHINE public claim corpus
record:
  canonical uri: Claim MRM-CLM-0025
  claim id: MRM-CLM-0025
  class: hypothesis
  introduced in: MRM-LCB-0001/0.1.0
  object: tested AI systems recover the fixed factual structure more completely and accurately than tested human readers
  predicate: primaryHypothesis
  public source ids: MRM-PUB-SRC-0001
  recommended citation: 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}.
  statement: 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.
  status: candidate_not_published
  subject id: MRM-01
name: 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.
publisher: Yvonne Bogosavljevic
text: 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.
version: 0.2.0