AI

If observability tools can capture everything happening in modern infrastructure, why can’t AI systems clearly explain the decisions they recommend? This tension lies at the heart of the growing explainability crisis in applied AI.

Enterprise adoption is shifting from “capability” to “credibility.” Organizations without strong oversight, documentation, and risk management risk losing trust and market momentum. Are you ready?

What if search systems didn’t just retrieve information, but remembered what worked? Expanded Relevance Memory (ERM) proves that query expansion and document expansion are mathematically equivalent, unlocking a powerful shift...

As Meta rebuilds its technical foundations to support multi-year model lifecycles, modular architectures, and reliability-first design, it is quietly reshaping how Silicon Valley thinks about production-grade AI.

The risk of Model Context Protocol in AI agents