Systems for Machine Learning[D]

Explain Like I'm Normal

A systems engineer is questioning if low-level skills like C++, memory management, and compiler optimization remain relevant in the age of automated AI. The consensus remains that as models scale, the bottleneck shifts from math to hardware orchestration, making distributed systems and kernel optimization more critical than ever. High-level AI might write the code, but someone still needs to make the silicon scream.