Difficulty: Advanced

Fast approximation of costly simulations.

Collective behavior without central control.

Distributed agents producing emergent intelligence.

Finding mathematical equations from data.

Artificial sensor data generated in simulation.

Equations governing how system states change over time.

Learning physical parameters from data.

Rate at which AI capabilities improve.

Agent calls external tools dynamically.

Optimizing continuous action sequences.

Signals indicating dangerous behavior.

Model optimizes objectives misaligned with human values.

Measure of spread around the mean.

Autoencoder using probabilistic latent variables and KL regularization.

Set of vectors closed under addition and scalar multiplication.

Truthful bidding is optimal strategy.

Existential risk from AI systems.