Technology Speed Limits
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914621666885632 |
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| author | Koh, Andrew Sanguanmoo, Sivakorn |
| author_facet | Koh, Andrew Sanguanmoo, Sivakorn |
| contents | We study optimal technology regulation when private learning occurs both through doing (scaling up the technology) and through waiting (as time passes). We show that an adaptive speed limit -- a cap on the rate at which the technology can increase per-unit time -- delivers optimal worst-case guarantees over all learning processes and/or preferences, and is the only time-consistent mechanism that does so. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2606_01424 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Technology Speed Limits Koh, Andrew Sanguanmoo, Sivakorn Theoretical Economics We study optimal technology regulation when private learning occurs both through doing (scaling up the technology) and through waiting (as time passes). We show that an adaptive speed limit -- a cap on the rate at which the technology can increase per-unit time -- delivers optimal worst-case guarantees over all learning processes and/or preferences, and is the only time-consistent mechanism that does so. |
| title | Technology Speed Limits |
| topic | Theoretical Economics |
| url | https://arxiv.org/abs/2606.01424 |