Kimbo Chen

5 days ago | semianalysis.com | Dylan Patel |Kimbo Chen

In our AI Scaling Laws article from late last year, we discussed how multiple stacks of AI scaling laws have continued to drive the AI industry forward, enabling greater than Moore’s Law growth in model capabilities as well as a commensurately rapid reduction in unit token costs. These scaling laws are driven by training and inference optimizations and innovations, but advancements in compute capabilities transcending Moore’s Law have also played a critical role.