The Game Theory of AI Pacing
The Game Theory of AI Pacing 09.30.2026 By Justin Wang, Dan Robinson, Andrew Koh [L] Listen [S] Share Link, Markdown, X, LinkedIn Some major AI labs, including Anthropic and OpenAI, have been calling for a coordinated slowdown in frontier AI research. In response, some have been reasonably asking why, if a given company is so concerned about the risks of what it is building, it can’t just voluntarily slow down.One answer comes from game theory. And it also explains why the U.S. has been hesitant to slow down AI progress without international coordination.We created a multiplayer web game inspired by a recent paper from Drew Fudenberg and Andrew Koh, which explains the game theory of competition in AI development.
- ▪The Game Theory of AI Pacing 09.30.2026 By Justin Wang, Dan Robinson, Andrew Koh [L] Listen [S] Share Link, Markdown, X, LinkedIn Some major AI labs, including Anthropic and OpenAI, have been calling for a coordinated slowdown in frontier A
- ▪In response, some have been reasonably asking why, if a given company is so concerned about the risks of what it is building, it can’t just voluntarily slow down.One answer comes from game theory.
- ▪And it also explains why the U.S. has been hesitant to slow down AI progress without international coordination.We created a multiplayer web game inspired by a recent paper from Drew Fudenberg and Andrew Koh, which explains the game theory
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| Original publisher | Paradigm |
| Canonical URL | https://www.paradigm.xyz/writing/the-game-theory-of-ai-pacing |
| Publication time | Thu, 01 Oct 2026 20:02:44 +0000 |
| Retrieval time | 2026-10-01T20:07:40.744Z |
| Last seen | 2026-10-01T20:07:40.744Z |
| 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 | KACiI0jPSZqL · 1 stories |
| 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
The Game Theory of AI Pacing 09.30.2026 By Justin Wang, Dan Robinson, Andrew Koh [L] Listen [S] Share Link, Markdown, X, LinkedIn Some major AI labs, including Anthropic and OpenAI, have been calling for a coordinated slowdown in frontier AI research. In response, some have been reasonably asking why, if a given company is so concerned about the risks of what it is building, it can’t just voluntarily slow down.One answer comes from game theory. And it also explains why the U.S. has been hesitant to slow down AI progress without international coordination.We created a multiplayer web game inspired by a recent paper from Drew Fudenberg and Andrew Koh, which explains the game theory of competition in AI development.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Paradigm.
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