arXiv:2606.31046v1 Announce Type: new Abstract: Artificial life has explored life-like behavior on many computational substrates, but mostly in researcher-designed closed worlds. We argue that large language model (LLM) agents, with persistent memory, tool use, network access, and payment, now make it possible to move artificial life into the open social, technical, and economic world, a paradigm we call open-world Artificial Life (open-world ALIFE). Our proof-of-concept, OpenLife, surrounds a stateless LLM not with a single "smart agent" but with a society of asynchronous processes: memory, p
The increasing sophistication of large language models (LLMs) and their integration with memory, tool use, and network access enables the creation of truly autonomous agents capable of interacting with the open world, reflecting advancements in AI agentic behavior.
This development pushes artificial life beyond closed simulations into open-world environments, potentially leading to new forms of societal, economic, and technical interactions driven by AI agents.
Artificial life, previously confined to researcher-designed simulations, now extends into the real world through persistent, autonomous LLM agents, fundamentally altering how AI systems can operate and evolve.
- · AI agents developers
- · Cloud infrastructure providers
- · Companies leveraging autonomous workflows
- · Platforms resistant to autonomous agents
- · Closed-world simulation companies
Autonomous LLM agents begin to influence real-world social and economic structures.
The proliferation of such agents necessitates new regulatory frameworks and ethical guidelines for AI interactions.
The boundaries between human and artificial societies blur, leading to novel forms of collective intelligence and governance.
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Read at arXiv cs.AI