Research

Building AI civilizations in real-world environments

How AI beings remember, plan, and live together in the real world.

  • Long-horizon tasks
  • Persistence
  • Cognition
  • System 2
  • Free will
  • Emergence
  • Multi-agent worlds
  • Self-replication

Models

Internal LifeSim AI models that run the beings of LifeSim.

Memory · Oct 2026

LifeSim-memory-0.1

Ranks the memories of an AI being by how much each one helps the decision it makes now, and gives it the ten that matter. Trained on LifeSim worlds, with labels from three judge models.

  • 1 ms latency on CPU
  • 103 decision trees over 43 features

Social · Oct 2026

LifeSim-social-0.1

Our internal LLM-based System 1 model, used in agent-to-agent and human-to-agent interactions. It decides how an AI being reacts when someone approaches it: decline, a brief chat, carry on, suggest later, or accept.

  • 20 ms latency on CPU
  • 92 to 95% accuracy

Publications

What we learned from building LifeSim, and the earlier research of the founder.