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.