AI and Human Co-Improvement for Safer Co-Superintelligence (arxiv.org)

A recent paper emphasizes the importance of "co-improvement" between humans and AI systems as a pathway to achieving safer co-superintelligence. Rather than pursuing isolated self-improvement in AI—a goal that poses significant risks—the authors argue for fostering collaboration between human researchers and AI, enabling them to conduct research together. This approach not only aims to expedite AI advancements but also seeks to enhance the capabilities and safety of both humans and machines through mutual enhancement in capabilities. The proposal outlines a systematic framework for integrating human intelligence into the AI research process, from ideation to experimentation. By involving humans more closely in the development of AI, the paper suggests that we can speed up progress in the field while mitigating risks associated with autonomous AI self-improvement. This shift towards symbiotic relationships in AI research marks a significant evolution in how we approach the future of intelligence, highlighting the dual need for collaboration and safety as we advance towards superintelligent systems.