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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Record
| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2606.03237 |
| Publication time | Wed, 03 Jun 2026 00:00:00 -0400 |
| Retrieval time | 2026-06-03T04:11:55.408Z |
| Last seen | 2026-06-03T04:11:55.408Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | vmFdcpb4WIy8 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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