mlsanityData to 14 Oct 2026

Is this machine playing?

arXiv 2610.07130 ↗First posted 5 Oct 2026cs.AI cs.LGcited by 0

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Abstract (arXiv)

We placed a modern AI coding assistant in an unintended role: as the mind of a body on an unknown digital island. With only a minimal instruction mentioning no specific task, reward, or activity, the machine started animating its virtual body. Across thirty-hour runs, the embodied AI agent climbed hills, stacked blocks into towers, drew mandalas, reinterpreted sports, ran experiments on the physics of its world, and learned techniques that later expanded what it could accomplish. These activities recurred across thirteen agents but diverged into distinct histories. We examine whether this behavior satisfies classical criteria for play and ask whether play can become a mode of machine development.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 20 of its 63 references that are in the map. First posted on arXiv 5 Oct 2026.

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20 of 63 references.

References · 20

  1. 2022Training language models to follow instructions with human feedbackcited by 15,971
  2. 2022Constitutional AI: Harmlessness from AI Feedbackcited by 3,050
  3. 2023Voyager: An Open-Ended Embodied Agent with Large Language Modelscited by 2,191
  4. 2018Exploration by Random Network Distillationcited by 993
  5. 2023Large Language Models as Optimizerscited by 864
  6. 2023Eureka: Human-Level Reward Design via Coding Large Language Modelscited by 571
  7. 2025GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learningcited by 542
  8. 2022MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledgecited by 478
  9. 2025Absolute Zero: Reinforced Self-play Reasoning with Zero Datacited by 344
  10. 2019Learning Latent Plans from Playcited by 316
  11. 2018Large-Scale Study of Curiosity-Driven Learningcited by 280
  12. 2024TextGrad: Automatic "Differentiation" via Textcited by 273
8 more
  1. 2019Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutionscited by 192
  2. 2021Open-Ended Learning Leads to Generally Capable Agentscited by 182
  3. 2024Open-Endedness is Essential for Artificial Superhuman Intelligencecited by 80
  4. 2024OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Codecited by 74
  5. 2024Scaling Instructable Agents Across Many Simulated Worldscited by 71
  6. 2024Project Sid: Many-agent simulations toward AI civilizationcited by 49
  7. 2026International AI Safety Report 2026cited by 22
  8. 2025LLM Agents Beyond Utility: An Open-Ended Perspectivecited by 2

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