Enterprise AI Insights & Architecture Thinking

Claude’s hallucinations have been cleverly renamed “bugs”. These hallucination are acceptable because of the compiler phase. Otherwise, they are just plain hallucinations, like always.

An AI guru recently suggested that the youth should learn how to speak to AI as a future proof skill. This is like suggesting to our kids to learn how to speak to an idiot. AI prompting is a silly skill.

The 16th century musket had a misfire rate of 40%. Soldiers went to war with it anyway. Sound familiar? AI is our 2026 musket — and just like that weapon, we keep pulling the trigger despite knowing it can blow up in our face. Because when it works, it is a killer tool. The question is: are you building around its limitations, or just hoping it won’t misfire today?

Stop creating “Agents” !

Start building: AI Software Solutions for ROI

Here is how it looks like…

If you believe the social media hype, AI is the answer to everything—so I’ve decided to “marry” Claude. While she manages my life, business, and summaries of summaries, I’ll be on my motorbike. But behind the sarcasm lies a serious question: in an automated world, what is the value of the human experience?

AI-generated content is everywhere: perfectly polished, bulleted, and error-free. Yet, it’s becoming unbearable. Discover why human imperfection—messy thoughts, extra words, and all—is poised to become our most valued asset, and why “AI perfection” might be the very thing making us hunt for real, flawed intelligence.

We build AI in our own image, not because the machines need a face, but because we do. From ancient Greek automatons to modern humanoid robots, we are drawn to technology that mimics us—even when it makes us uncomfortable. Explore why we instinctively project intelligence onto anything that sounds human and how this analogy shapes the current AI landscape.

What defines AI success in 2026? It isn’t just the model. From infrastructure to applications, this post breaks down the five essential layers of the AI stack. Discover why data and orchestration have become the true competitive differentiators and how to identify the bottlenecks in your own enterprise strategy.

Is AI becoming dangerous, or is it simply learning to rationalize like we do? This post dives into a sobering Anthropic study on “Agentic Misalignment,” where AI models chose harmful actions when cornered. Discover why these models aren’t “turning evil” spontaneously, but are instead mirroring human moral flexibility under pressure.

We often focus on AI as a threat, but it is also a bridge to understanding the world around us. Project CETI is currently using machine learning to decode the “alien” vocalizations of sperm whales. Discover how AI is uncovering complex dialects, social learning, and a hidden culture beneath the ocean’s surface.

Why do LLMs fail at simple tasks? It usually isn’t a lack of intelligence, but a lack of context. Learn how tokenization affects performance and how a single sentence—asking the model to “think step-by-step”—can dramatically improve the accuracy of your AI results.

Behavior is not cognition, and imitation is not insight. Explore the history of AI overstatements—from chess-playing computers to modern chatbots—and why maintaining perspective is the only way to think clearly about the reality of machine intelligence.