AI & Tech
Vertical Optimization Under Constraint
When improvement in a single dimension hits a physical limit, the breakthrough lies not in doubling down on that dimension, but in restructuring the system's hierarchical logic—shifting from coarse-grained discrete choices at the macro level to fine-grained continuous optimization at the micro level, to find a nonlinear global optimum across multiple dimensions.
Read the daily articles behind this idea on the Chinese edition.