The fundamentals of Artificial Intelligence are the starting point for anyone who truly wants to understand this technology: what it is, how it works, and where it’s taking us. Knowing them is not a theoretical exercise, but the most effective way to start making the most of it.
Not everyone knows that there are three distinct types of artificial intelligence: ANI, AGI, and ASI, each corresponding to a stage of its cognitive development. Only the first exists today, the other two remain, for now, purely theoretical. Telling them apart means understanding where we are and in which direction things are heading. Let’s explore their characteristics, their differences, and what the future holds. (read more)
Typology: Fundamentals
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An advanced subset of Machine Learning, Deep Learning has given machines an extraordinary capability: extracting deep meaning from data to perform increasingly complex tasks, with a level of precision that was unthinkable until recently. Let’s explore how it works. (soon)
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Vibe copywriting represents a new way of creating content, where human creativity interacts with Artificial Intelligence. Mastering this approach means learning how to guide the machine toward more coherent, focused, and effective texts. (read more)
AI agents represent the most advanced frontier of Artificial Intelligence today: systems capable of perceiving their environment, planning strategies, and acting without human supervision. Let’s explore how they work and why they are redefining the relationship between humans and technology. (read more)
Typology: Fundamentals

Inspired by the workings of the human brain, neural networks are the computational model that made modern Artificial Intelligence possible: systems capable of recognizing patterns, learning from experience, and improving over time. Let’s take a closer look. (coming soon)
Typology: Fundamentals
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Born from the analysis of billions of texts, language models have developed an extraordinary ability: understanding and generating human language with surprising naturalness. Increasingly multimodal today, they remain the core technology behind AI conversation. (coming soon)
Typology: Fundamentals
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So-called ‘LLMs’ (such as Claude, ChatGPT, Gemini, etc.) do not ‘search’ for answers in a database. Every word they generate is instead the result of a probabilistic calculation through which the model predicts which word makes most sense to follow the previous one.
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The images on this page were created using generative Artificial Intelligence tools.