Solipsistic Superintelligence is Unlikely to be Cooperative
A recent paper argues that superintelligence developed from a solipsistic approach to AI design is unlikely to be cooperative. The authors emphasize the need for a non-solipsistic research paradigm that prioritizes interdependence and cooperation among AI systems. They propose dynamic evaluation testbeds and preserving human agency as essential components in AI development.
- ▪The paper discusses the shift in AI's central challenge from capability to coexistence.
- ▪It highlights the self-undermining property of unilateral optimization in AI systems.
- ▪The authors call for a research paradigm that treats interdependence as a core design principle.
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Computer Science > Artificial Intelligence arXiv:2606.03237 (cs) [Submitted on 2 Jun 2026] Title:Solipsistic Superintelligence is Unlikely to be Cooperative Authors:Rakshit S Trivedi, Natasha Jaques, Logan Cross, Alexander Sasha Vezhnevets, Joel Z Leibo View a PDF of the paper titled Solipsistic Superintelligence is Unlikely to be Cooperative, by Rakshit S Trivedi and 4 other authors View PDF HTML (experimental) Abstract:AI's central challenge is shifting from capability to coexistence. The dominant paradigm in AI research focuses on developing powerful agents that treat the world as an exogenous and stationary source of feedback. We contend that superintelligence, an extremely capable task solver, born out of such a solipsistic approach to AI design, is unlikely to be cooperative.
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