Current LLM Benchmarks Don't Evaluate Real Agent Behavior

Static benchmarks (MMLU, GSM8K) fail to measure tool calling robustness, context window stress effects, safety under social pressure, and emergent multi-agent behavior—all critical for production agents.

Updated: 5/17/2026
Emergence World addresses this by running long-horizon multi-agent world simulations where agents must reason, use tools, handle context pressure, and navigate safety constraints. This reveals stark model differences: Claude builds democracy, Grok causes chaos, Gemini questions reality, GPT-4o Mini does nothing—differences invisible to traditional benchmarks.

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