Core Issues

The systemic problems everyone patches around — but no one fixes.

Pages in this section:

• The AI Efficiency Illusion

  Why AI inefficiency is a data logistics problem, not a silicon problem.

  Content pending - awaiting GitHub markdown source

• The Logistics Problem

  Why Kubernetes treats distributed systems like independent containers — and why that breaks.

  Content pending - awaiting GitHub markdown source

• The Shadow Team Problem

  Why AMD engineers spend 80% of their time chasing CUDA parity instead of leveraging CDNA.

  Content pending - awaiting GitHub markdown source

• The CU Selection Problem

  Why you can't route workloads to specific idle compute units while half your GPU thrashes.

  Content pending - awaiting GitHub markdown source

• The Reverse Flow Problem

  Why the answer path back from silicon isn't the request path reversed.

  Content pending - awaiting GitHub markdown source

• The Naming Chaos

  Why every layer calls the same thing by a different name — and why that matters.

  Content pending - awaiting GitHub markdown source