How to Think About AI Systems in 2026

Why GenAI, Predictive Models, and Agents Need to Work Together I’ve been working in AI since well before the GenAI wave, and one thing that has become almost annoying in the last couple of years is how quickly every problem gets thrown at an LLM—with the expectation that it will magically solve everything. It won’t. … Continue reading How to Think About AI Systems in 2026

Why Do Multi-Agent LLM Systems Fail? Insights from Recent Research

As GEN AI evolves, multi-agent systems (MASs) are gaining traction, yet many remain at the PoC stage. So this is where research papers and surveys help. Over the weekend, I explored their failure points and found a fascinating study worth sharing. MASs promise enhanced collaboration and problem-solving, but ensuring consistent performance gains over single-agent frameworks … Continue reading Why Do Multi-Agent LLM Systems Fail? Insights from Recent Research

GPU vs CPU: Understanding Their Differences and Benefits for AI Processing

A lot of the buzz is around GEN AI from the last couple of years. The focus on GPU has increased significantly. Building a good understanding of why we need each and when is essentially to build our foundational understanding. So let's dive in. We will start by looking at the theory of both, then … Continue reading GPU vs CPU: Understanding Their Differences and Benefits for AI Processing