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🎯 Explaining complex things in human language

Welcome to our new series dedicated to making the foundations of Artificial Intelligence, Machine Learning, and Deep Learning understandable for everyone.

In the coming weeks, we’ll explore five important topics that form the theoretical backbone of modern AI — explained simply, clearly, and humanly:

1️⃣ Kolmogorov Complexity — how information and intelligence can be measured.
2️⃣ Probability & Bayesian Inference — how systems deal with uncertainty.
3️⃣ Neural Networks & Transformers — how artificial systems learn to represent the world.
4️⃣ Information Theory (Shannon) — how meaning and structure emerge from data.
5️⃣ Free Energy Principle — how the brain and AI both predict the world to survive and learn.

Each topic will be presented in a short, visual format — connecting the logic of machines with the intuition of human understanding.

📚 Stay tuned — the first episode is coming soon.