My learning journey in the world of AI, updated for 2026 Originally published in March 2025. Updated in August 2026. I started this list because I kept seeing the same terms used in different ways. I needed a simple map to understand what each technology actually does, and where it may be useful when bringing AI into a product. AI changes so quickly that a learning journey can become dated in a few months. My first version of this article was an attempt to map the technologies around AI agents and to make sense of the growing number of tools. Since then, the topic has moved from interesting experiments to real business systems. This updated version keeps the original intention: learn in public, organise the landscape, and focus on what is useful in practice. What changed since 2025 In early 2025, most conversations were still about chatbots, prompt engineering and early agent frameworks. In 2026, the more useful question is no longer "which model is the best?" but ...
It is interesting to realise how closely connected we are to the human groups that lived before us. Human evolution was not a simple line from one species to another. Different hominin groups lived at the same time. They met, mixed, and had children together. Their DNA is still present in many people today. Neanderthal DNA is part of our genetic heritage. Denisovan DNA is too. This is not only an idea: scientists can measure it in human DNA. That is what made me interested in this subject. Over the past few months, I have explored the story of human origins. I tried to use scientific videos as much as possible, instead of relying only on simplified timelines or popular articles. The more I read, the more I understood that the story is fascinating, but not simple. Dates can change when new evidence is found. Research teams do not always agree on how to understand the same evidence. Some facts often shared online are incomplete, outdated, or wrong. I also want to be clear about how...