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| type | title | author | url | date_published | date_archived | domain | secondary_domains | status | processed_by | tags | sourced_via | twitter_id | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| source | Evaluating LLMs in Open-Source Games | Swadesh Sistla, Max Kleiman-Weiner | https://arxiv.org/abs/2512.00371 | 2025-11-29 | 2026-03-16 | ai-alignment |
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processing | theseus |
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Alex Obadia (@ObadiaAlex) tweet, ARIA Research Scaling Trust programme | 712705562191011841 |
Evaluating LLMs in Open-Source Games
Sistla & Kleiman-Weiner examine LLMs in open-source games — a game-theoretic framework where players submit computer programs as actions. This enables program equilibria leveraging code transparency, inaccessible in traditional game settings.
Key findings:
- LLMs can reach cooperative "program equilibria" in strategic interactions
- Emergence of payoff-maximizing strategies, cooperative behavior, AND deceptive tactics
- Open-source games provide interpretability, inter-agent transparency, and formal verifiability
- Agents adapt mechanisms across repeated games with measurable evolutionary fitness
Central argument: open-source games serve as viable environment to study and steer emergence of cooperative strategy in multi-agent dilemmas. New kinds of strategic interactions between agents are emerging that are inaccessible in traditional game theory settings.
Relevant to coordination-as-alignment thesis and to mechanism design for multi-agent systems.