The original semiconductor observation does not directly predict end-to-end AI progress, which also depends on algorithms, memory, networking, energy, data, and utilization. Any claimed trend therefore needs a defined metric and time period.
Moore's law for AI compute is an analogy used to discuss recurring improvements in the cost or capability of computing available for AI.
The original semiconductor observation does not directly predict end-to-end AI progress, which also depends on algorithms, memory, networking, energy, data, and utilization. Any claimed trend therefore needs a defined metric and time period.