Does the value of rational activity explain the badness of human extinction?
Bibliographic record
Abstract
Abstract Why postpone human extinction? The dominant view is utilitarian: postponing extinction matters if it maximizes the net sum of happiness that is ever enjoyed. But, many object, we have reason to make people happy, not to make happy people. Plus, the utilitarian view does not explain why failing to postpone extinction matters terribly if the future it would cost our species is utopian, but not if it is dystopian. For, a dystopia may contain a greater net sum of happiness than a utopia. I therefore consider a budding alternative: postponing extinction matters if it ensures the ongoing instantiation of rational activity. Regretfully, I show this view faces objections analogous to, but more robust than, those that beset its utilitarian rival. For example: we have reason to make people rational, not to make rational people. I conclude by pointing to another alternative that critics of the utilitarian view ought to investigate further.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".