Term tag: Scaling Laws

Scalable AI

Scaling an AI system means three different things — bigger models, faster training, more concurrent users — and each axis hits a different hard limit.

Scaling Laws

The empirical curves that make AI capex rational: model loss falls predictably with compute, data and parameters — and what they do not promise.

Test-Time Compute

Spending compute at inference instead of training — how reasoning models buy accuracy with thinking time, and why it moved chip demand into serving.