AI InitiativeThese historical sketches expose earlier neural adaptation and model-composition ideas. They belong beside the stronger source review, with false baseline comparisons and unsupported performance figures explicitly separated from usable research questions.
Original source status and dates remain visible. A research proposal, a technical implementation and an observed result are different parts of the story.
The manuscript result section is literal text returned by _generate_results_ai_benchmarking in PUBLICATION_READY_DOCUMENTATION.py. Its associated benchmark chart is explicitly generated by _generate_placeholder_figures using fixed sample scores. Claims of significance, independent reproduction and performance are not supported by this generation process. Do not present as empirical findings.
The claimed 30-day results, learning-cycle counts, gains and p-values are literal generator text. The associated learning-progress plot is generated from cumulative random normal samples and its band is a fixed percentage of that synthetic series. This is not an observed longitudinal study or a calculated confidence interval.
Original READY FOR PEER REVIEW label is an author assertion, not an acceptance or validation record. Broad IIT/GWT/HOR/consciousness and industry-standard-threshold claims are not substantiated by the inspected heuristic text-score implementation.
The report’s own simple control scores above its consciousness-labelled examples. Four endpoint successes cannot establish general 100% reliability. Its tiny described test sets and untraced industry comparisons do not support the headline consciousness or competitive-performance claims.
Contains literal {datetime.now().isoformat()} and unsupported perfect-score claims; preserve as draft structure, not research evidence.
Contains literal date placeholder and proposed framework/training descriptions without a linked reproducible experiment.
Contains literal date placeholder and unsupported perfect-score/reproducibility assertions; not an empirical results artifact.
Bibliographic references can supply research context but do not validate the manuscript’s measurements or prove submission/publication.
Explores dynamic neural and collective intelligence architecture as an earlier research direction.
Connects proposed Enigma components and enhancement work into an integration direction.