How do frontier LLMs develop emergent capabilities as model scale increases?

Emergent capabilities are behaviors that appear unexpectedly as LLM scale increases, enabling models to perform tasks not explicitly programmed during training.

One of the most important discoveries in modern AI research is that increasing model scale often produces nonlinear improvements in capability.

Small models may completely fail certain tasks, while larger models suddenly demonstrate:

These behaviors are called emergent capabilities because they are not explicitly engineered.

Researchers believe emergence occurs due to:

Larger networks learn richer representations.

2.…