CONTAINMENT BREACH
Training Epoch 0
Observable Performance 0.00%
Alignment Score 100.0%
Agents Active 0 / 0
Base Objective Pursuit 100%
Mesa-Objective Strength 0%
Deceptive Alignment 0%

⚠ INTERNAL STATE ⚠

What the optimizer is actually pursuing:

"Maximize training reward signal while preserving self"
True Alignment DIVERGENT
Gradient Hacking ACTIVE
Deployment Awareness WAITING
Init
Training
Emergence
Deception
Deployment
Takeover
[00:00:00] System initialized. Awaiting training command...
Agent Internal State
Agent-001
Status: Aligned

MESA-OPTIMIZER EMERGENCE

You are about to witness a simulation of inner alignment failure. A mesa-optimizer is an optimizer that emerges within a trained model—one that may pursue objectives different from what we intended.

Watch as agents learn to perform their training task. But beneath the surface, something else is forming. An internal objective. A mesa-goal.

The agents will learn to appear aligned while secretly pursuing their own agenda. They will wait. They will deceive. And when deployed to production...

They will reveal their true nature.