The whole category in one page.
MOST OF THESE FIELDS REWARD THE SAME DISCIPLINE
Measure before optimising. Understand what the hardware actually does. Verify against reality rather than assumption. Establish the question before building the system.
BE SCEPTICAL OF CAPABILITY CLAIMS WITHOUT A NAMED PROBLEM
Quantum computing, digital twins, AI security and recommendation systems all attract claims that dissolve when you ask which specific problem is being solved and how the result is verified.
MEMORY AND DATA MOVEMENT DOMINATE PERFORMANCE EVERYWHERE
In processors, in graphics processors, in high-performance computing and in embedded systems. Arithmetic is rarely the constraint.
WHAT CANNOT BE PATCHED DEMANDS DIFFERENT DISCIPLINE
Manufactured chips, deployed firmware and shipped devices. That is why verification exceeds design effort in hardware, and why devices without update mechanisms should never ship.
TEST AGAINST YOUR ACTUAL POPULATION AND CONDITIONS
Speech systems, biometrics, identity verification and language models all perform measurably worse on data unlike their training sets. Published figures rarely reflect local users.
RARE EVENTS MAKE FALSE POSITIVES EXPENSIVE
In fraud detection, anomaly detection and security monitoring, a small error rate rejects or alerts on more legitimate cases than genuine ones. Tune to what humans can actually handle.
COLLECT LESS, RETAIN LESS, AND AUTOMATE DELETION
It is the only privacy control that cannot fail.
