Tag: AI

AI and Jevons’ Paradox: Why Making AI Cheaper May Make Us Use More of It

There is a strange paradox at the heart of the AI revolution. We keep making AI dramatically more efficient. Models require less compute. Inference costs are falling. Hardware is becoming more capable. Techniques such as quantization, distillation, batching, and better model architectures allow us to get more intelligence out of every unit of compute. And […]