What This Is

The Immortality Index is an open-source, version-controlled binary milestone registry that decomposes the biological aging problem into 27 falsifiable research obstacles across two engineering tracks, each culminating in a System-Level Integration Bottleneck (SLIB) — a convergence gate confirming all upstream subsystems within that track are simultaneously operational. Progress on each obstacle is determined solely by evidence from peer-reviewed literature — not prediction, personal estimate, or institutional position. The framework is designed for formal academic citation.

AI Authorship Disclosure

This project was conceived by a human and developed through AI-assisted collaboration — initially with Google Gemini, then further refined with Claude (Anthropic). All framework design, obstacle definitions, milestone criteria, quantitative thresholds, and the academic whitepaper were generated through this human–AI process and lightly reviewed by a human. We make this disclosure in the interest of full transparency about the origins of this work.

Theoretical Constructs

Several concepts in this framework — including System-Level Integration Bottlenecks (SLIB), Decentralized Intercellular Transcriptomic Error-Correction Networks, Somatic Identity Triage and Localized Fibrotic Encapsulation, and the Programmable Somatic Identity Detection circuit (G-4.4) — are original engineering constructs developed for this roadmap. They are not established clinical terminology. They represent formal engineering targets derived from extrapolating current biological and nanotechnology research trajectories and are intended as falsifiable specifications, not claims about currently operational systems.

AI Literature Scanning Methodology

Every six hours, an automated pipeline running on Cloudflare Workers submits each unconfirmed milestone to Google Gemini 2.5 Flash for evaluation. The model assesses whether peer-reviewed evidence meeting the milestone’s stated quantitative threshold exists as of its training knowledge cutoff, and returns a verdict (achieved / not achieved), a confidence level (high / medium / low), and a one-sentence evidence citation. A milestone is committed only when the model returns achieved with high or medium confidence. Low-confidence results are not committed regardless of the achieved verdict. Evidence citations are model-generated and should be independently verified against the primary literature.

Benchmark Integrity

All milestone thresholds are pre-registered and immutable except via publicly visible pull requests with documented peer-reviewed justification. No threshold may be adjusted retroactively to accommodate an experimental result. The full change history of every threshold and milestone is permanently auditable in the public GitHub repository. The project is maintained anonymously to ensure assessments remain free from institutional affiliation, funding relationships, and individual reputational incentive.

Cite This Work

@misc{immortalityindex2026,
  author = {{Immortality Index}},
  title = {Programmable Detection of Somatic Identity Failure in Living Cells: Milestone Definition and Gap Analysis},
  year = {2026},
  doi = {10.5281/zenodo.20793473},
  url = {https://github.com/immortalityindex/immortality-index}
}

APA: Immortality Index. (2026). Programmable Detection of Somatic Identity Failure in Living Cells: Milestone Definition and Gap Analysis (v1.0.0). GitHub. https://doi.org/10.5281/zenodo.20793473

Not Medical Advice

Nothing on this site constitutes medical advice, investment advice, or a recommendation to pursue any specific intervention. All described technologies are research-stage unless otherwise noted.