Future minds are not a challenge to anti‐natalism: A reply to Gould
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
Deke Caiñas Gould (2021) argues that the possibility of future non-human-like minds who are not harmed by coming into existence poses a challenge to David Benatar's well-known Asymmetry Argument for anti-natalism. Since the good of these future minds has the potential to outweigh the current harms of human existence, they can be appealed to in order to justify procreation. I argue that Gould's argument rests on a fundamental misunderstanding of Benatar's argument. According to the Asymmetry Argument, if a person experiences any harm at all, then bringing them into existence is unjustified. It does not depend upon on-balance judgments about the relative harms and benefits of existence. It therefore remains impermissible to procreate right now in our world, regardless of the prospect of future humans contributing to the successful development of beings who are not harmed by existence. I conclude by addressing two alternate readings of Gould, which, for the sake of argument, permit such on-balance judgments, and show why they fail to rescue his case. Benatar's Asymmetry Argument might be unsound, but not for any reason identified by Gould.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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