National Security and Software Security Are Not the Same
When leaders invoke national security for bold plans, the details matter. The same rigor applies to the software and AI systems that actually run critical infrastructure.
When leaders invoke national security for bold plans, the details matter. The same rigor applies to the software and AI systems that actually run critical infrastructure.
When families navigate major transitions like school changes, the systems behind the scenes matter. From educational platforms to secure data handling, production-grade software keeps operations running smoothly through change.
Major AI companies are discussing superintelligence risks. But awareness without rigorous engineering won’t keep AI systems safe in production. Here’s what actually matters.
Existential fears about AI are real, but so is the engineering discipline needed to build trustworthy AI products that last. The gap between demo and production matters more than ever.
As politicians navigate shifting voter priorities, the gap between intent and impact mirrors a familiar challenge in software: the difference between what sounds good in theory and what actually works in production.
The release of documents about post-9/11 air quality raises hard questions about how institutions communicate risk. It’s a reminder that the systems we build to inform the public must be engineered for accuracy, transparency, and integrity from the ground up.