Computer Environments Elicit General Agentic Intelligence in LLMs

Researchers introduce LLM-in-Sandbox, a minimal computer environment that significantly enhances large language models' capabilities across diverse tasks without additional training. The approach enables weaker models to internalize agent-like behaviors through specialized training, demonstrating that environmental interaction—not just model parameters—drives general intelligence in LLMs.