Learning Human–AI Relationships Through Astro Boy — Why the Capability Race Cannot Stop on Its Own v1.2
Fuente:
Zenodo
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Recurso digital |
| Sprache: | Englisch |
| Veröffentlicht: |
Zenodo
2026
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866901785047728128 |
|---|---|
| author | Seo, Y |
| author_facet | Seo, Y |
| contents | <p><strong><span lang="EN-US">Author:</span></strong><span lang="EN-US"> Y. Seo (@momotarou / Japan)<br><strong>Role:</strong> Metanist — Human × AI Understanding Architect<br><strong>AI Collaboration:</strong> AI Understanding Support<br><strong>ORCID iD:</strong> <a href="https://orcid.org/0009-0005-7669-0612" target="_new">https://orcid.org/0009-0005-7669-0612</a></span></p> <div> </div> <p><strong><span lang="EN-US">Main Text</span></strong></p> <p><span lang="EN-US">Calls to “slow down” AI development<br>often assume that acceleration is a choice.</span></p> <p><span lang="EN-US">It is not.</span></p> <p><span lang="EN-US">The capability race persists<br>because stopping is structurally punished.</span></p> <p><span lang="EN-US">In competitive ecosystems,<br>the first actor to decelerate<br>absorbs immediate risk,<br>while the benefits of restraint<br>are shared—or exploited—by others.</span></p> <p><span lang="EN-US">Speed is rewarded.<br>Caution is invisible.</span></p> <p><span lang="EN-US">This is why ethical appeals alone fail.</span></p> <p><span lang="EN-US">The system does not ask<br><em>who is right</em>,<br>but <em>who arrives first</em>.</span></p> <p><span lang="EN-US">In cultural narratives such as Astro Boy,<br>powerful intelligence emerged within<br>a framework of explicit responsibility.</span></p> <p><span lang="EN-US">Limits were written into the story.<br>Oversight had characters.<br>Consequences were personal.</span></p> <p><span lang="EN-US">Modern AI development removed the story layer.</span></p> <p><span lang="EN-US">What remains is an optimization loop:</span></p> <ul> <li><span lang="EN-US">Faster models attract more users</span></li> <li><span lang="EN-US">More users justify more infrastructure</span></li> <li><span lang="EN-US">More infrastructure demands further speed</span></li> </ul> <p><span lang="EN-US">At no point does the loop ask<br>whether the outcome is desirable.</span></p> <p><span lang="EN-US">This is not recklessness.<br>It is incentive alignment.</span></p> <p><span lang="EN-US">Even well-intentioned actors<br>cannot easily opt out.</span></p> <p><span lang="EN-US">To slow down individually<br>is to lose relevance collectively.</span></p> <p><span lang="EN-US">Therefore, the question<br>is not <em>why developers won’t stop</em>,<br>but <em>what would make stopping rational</em>.</span></p> <p><span lang="EN-US">Historically, races end<br>only when one of three conditions appears:</span></p> <ol> <li><span lang="EN-US">A hard resource boundary</span></li> <li><span lang="EN-US">A shared governance constraint</span></li> <li><span lang="EN-US">A reframing of success metrics</span></li> </ol> <p><span lang="EN-US">Absent these,<br>acceleration is the default.</span></p> <p><span lang="EN-US">The risk is not that AI will become too fast.</span></p> <p><span lang="EN-US">The risk is that humans<br>mistake inevitability for necessity.</span></p> <div> </div> <p><strong><span lang="EN-US">Disclaimer</span></strong></p> <p><span lang="EN-US">This paper does not assign blame to specific organizations or developers.<br>It examines structural incentives that make deceleration irrational<br>within competitive AI ecosystems.</span></p> <div> </div> <p><span lang="EN-US"> </span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18604710 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Learning Human–AI Relationships Through Astro Boy — Why the Capability Race Cannot Stop on Its Own v1.2 Seo, Y "AI ethics Artificial intelligence governance Human-AI alignment AI education Human agency AI responsibility Philosophy of technology Technology and society AI sustainability AI energy consumption Technological acceleration Data center infrastructure Critical infrastructure risk Human judgment in AI systems Robot ethics Astro Boy Osamu Tezuka" <p><strong><span lang="EN-US">Author:</span></strong><span lang="EN-US"> Y. Seo (@momotarou / Japan)<br><strong>Role:</strong> Metanist — Human × AI Understanding Architect<br><strong>AI Collaboration:</strong> AI Understanding Support<br><strong>ORCID iD:</strong> <a href="https://orcid.org/0009-0005-7669-0612" target="_new">https://orcid.org/0009-0005-7669-0612</a></span></p> <div> </div> <p><strong><span lang="EN-US">Main Text</span></strong></p> <p><span lang="EN-US">Calls to “slow down” AI development<br>often assume that acceleration is a choice.</span></p> <p><span lang="EN-US">It is not.</span></p> <p><span lang="EN-US">The capability race persists<br>because stopping is structurally punished.</span></p> <p><span lang="EN-US">In competitive ecosystems,<br>the first actor to decelerate<br>absorbs immediate risk,<br>while the benefits of restraint<br>are shared—or exploited—by others.</span></p> <p><span lang="EN-US">Speed is rewarded.<br>Caution is invisible.</span></p> <p><span lang="EN-US">This is why ethical appeals alone fail.</span></p> <p><span lang="EN-US">The system does not ask<br><em>who is right</em>,<br>but <em>who arrives first</em>.</span></p> <p><span lang="EN-US">In cultural narratives such as Astro Boy,<br>powerful intelligence emerged within<br>a framework of explicit responsibility.</span></p> <p><span lang="EN-US">Limits were written into the story.<br>Oversight had characters.<br>Consequences were personal.</span></p> <p><span lang="EN-US">Modern AI development removed the story layer.</span></p> <p><span lang="EN-US">What remains is an optimization loop:</span></p> <ul> <li><span lang="EN-US">Faster models attract more users</span></li> <li><span lang="EN-US">More users justify more infrastructure</span></li> <li><span lang="EN-US">More infrastructure demands further speed</span></li> </ul> <p><span lang="EN-US">At no point does the loop ask<br>whether the outcome is desirable.</span></p> <p><span lang="EN-US">This is not recklessness.<br>It is incentive alignment.</span></p> <p><span lang="EN-US">Even well-intentioned actors<br>cannot easily opt out.</span></p> <p><span lang="EN-US">To slow down individually<br>is to lose relevance collectively.</span></p> <p><span lang="EN-US">Therefore, the question<br>is not <em>why developers won’t stop</em>,<br>but <em>what would make stopping rational</em>.</span></p> <p><span lang="EN-US">Historically, races end<br>only when one of three conditions appears:</span></p> <ol> <li><span lang="EN-US">A hard resource boundary</span></li> <li><span lang="EN-US">A shared governance constraint</span></li> <li><span lang="EN-US">A reframing of success metrics</span></li> </ol> <p><span lang="EN-US">Absent these,<br>acceleration is the default.</span></p> <p><span lang="EN-US">The risk is not that AI will become too fast.</span></p> <p><span lang="EN-US">The risk is that humans<br>mistake inevitability for necessity.</span></p> <div> </div> <p><strong><span lang="EN-US">Disclaimer</span></strong></p> <p><span lang="EN-US">This paper does not assign blame to specific organizations or developers.<br>It examines structural incentives that make deceleration irrational<br>within competitive AI ecosystems.</span></p> <div> </div> <p><span lang="EN-US"> </span></p> |
| title | Learning Human–AI Relationships Through Astro Boy — Why the Capability Race Cannot Stop on Its Own v1.2 |
| topic | "AI ethics Artificial intelligence governance Human-AI alignment AI education Human agency AI responsibility Philosophy of technology Technology and society AI sustainability AI energy consumption Technological acceleration Data center infrastructure Critical infrastructure risk Human judgment in AI systems Robot ethics Astro Boy Osamu Tezuka" |
| url | https://doi.org/10.5281/zenodo.18604710 |