AI & Human Co-Improvement for Safer Co-Superintelligence

Fuente: arXiv
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Main Authors: Weston, Jason, Foerster, Jakob
Format: Preprint
Published: 2025
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author Weston, Jason
Foerster, Jakob
author_facet Weston, Jason
Foerster, Jakob
contents Self-improvement is a goal currently exciting the field of AI, but is fraught with danger, and may take time to fully achieve. We advocate that a more achievable and better goal for humanity is to maximize co-improvement: collaboration between human researchers and AIs to achieve co-superintelligence. That is, specifically targeting improving AI systems' ability to work with human researchers to conduct AI research together, from ideation to experimentation, in order to both accelerate AI research and to generally endow both AIs and humans with safer superintelligence through their symbiosis. Focusing on including human research improvement in the loop will both get us there faster, and more safely.
format Preprint
id arxiv_https___arxiv_org_abs_2512_05356
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle AI & Human Co-Improvement for Safer Co-Superintelligence
Weston, Jason
Foerster, Jakob
Artificial Intelligence
Self-improvement is a goal currently exciting the field of AI, but is fraught with danger, and may take time to fully achieve. We advocate that a more achievable and better goal for humanity is to maximize co-improvement: collaboration between human researchers and AIs to achieve co-superintelligence. That is, specifically targeting improving AI systems' ability to work with human researchers to conduct AI research together, from ideation to experimentation, in order to both accelerate AI research and to generally endow both AIs and humans with safer superintelligence through their symbiosis. Focusing on including human research improvement in the loop will both get us there faster, and more safely.
title AI & Human Co-Improvement for Safer Co-Superintelligence
topic Artificial Intelligence
url https://arxiv.org/abs/2512.05356