Blog

Building Intelligence Through Interaction with the World

What Is a World Model Modeling? From Predicting the Future to Reusing Experience

May 7, 2026

Why next-generation agents need world models that select controllable, recoverable, and reusable future information rather than only predicting futures.

world-modelsllm-agentsreinforcement-learningembodied-ai

What Environment Do LLM Agents Actually Learn In?

May 6, 2026

A working definition of large language environments and how LLM agents turn task logs into verifiable, transferable, and reversible experience.

llm-agentsreinforcement-learninglarge-language-environmentscontinual-learning

When Agents Learn from the World, Not from Us

March 15, 2026

The pretraining paradigm scaled data. The agent paradigm scales environments. Three observations on environment scaling, continuous evolution, and multi-agent collaboration.

agentic-rlenvironment-scalingmulti-agentcontinual-learning