Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Humans have sought to cheat death for as long as we have been cognizant of our mortality. History’s early explorers of the frontier of immortality include alchemists in the pursuit of an elixir of life and emperors who, ironically, hastened their own death from the consumption of mercurial concoctions. Scientifically grounded approaches to the extension of the human lifespan emerged in the 20th century and were based on hormonal rejuvenation, calorie restriction, and most recently, the consumption of supplements with purported anti-aging effects. A combination of three “longevity drugs” has recently been championed by Dr. David Sinclair, co-discoverer of the lifespan-regulating sirtuin enzymes, and author of the epigenetics-focused Information Theory of Aging (ITA). In this work, we investigate the evidence behind Sinclair’s ITA, highlight concerns related to his regimen, and reflect on the possibility that we are at a nexus in time preceding a dramatic increase in human healthspans. Promisingly, if the ITA holds true, individuals will be uniquely empowered to “hack” their own immortality.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it