In the era of artificial intelligence, the Internet, and data centers, humanity has reached an exceptional level of knowledge stacking: and for those who read and learn, it is a total paradigm shift: whereas previously it was necessary to be in possession of knowledge (a book, a network, mentors), which was locked by a relatively scattered system and above all which was hardly accessible and biased, today, the whole of human knowledge is accessible to almost everyone, almost for free, and as a whole, its diversity, and complexity.

The first pivot was made with the Internet: the interconnectivity of information access systems and the multiplication of their sources and access points was the first major turning point. Then came the LLMs: they only multiplied the speed and the extent to which information can be synthesized, gathered, and even better: connect the sources to make an intelligible convergence. Not only that, but at a level where you can customize the output path, shape, tone, angle of attack of the topics you want to explore. This almost renders information books obsolete: you will henceforth have no interest in a book except from the subjective and specific point of view of an author. But for objective data, synthesis is key: of course, the data must come from somewhere, and at our stage, tests, articles, creations, opinions, documentaries, research are mostly created by humans.

What matters here is not necessarily the raw data, it’s the connections and conclusions that you can extract from the data. LLMs are actually only extractors of meaning and massive simplifiers. And that’s where it all comes down: you now have access to a system that is capable of producing an infinite book, almost updated in real time, customized as you wish and according to your needs. And it’s exceptional. It is, I repeat, an incredible lever that multiplies your ability to acquire knowledge and understanding of the environment. Some see this as a kind of total subordination: I wouldn’t say it isn’t in one sense, but it actually depends greatly on your use.

You can ask an AI to produce the content you need and let the machine do the work in its entirety without any deep reflection. But you can also question the results and ideas, find new connections between the new outputs of the machine, push each process even further. And it is there that the invisible extension lies. It is an extension of your brain, of its continuity, which moreover is devoid of its own will. It all depends on what you do with it: you can decide to relieve your workload with the tool, or use the tool to go where you have never been able to go naturally. But it’s a personal choice.