Philosophy

Knowledge production, knowledge management and knowledge transmission

Arda Kukul

04 Apr 2024 — 2 min read

Knowledge production has been connected to our mental capabilities, rationality and resources to use. With the development of artificial intelligence, we are actually giving away responsibility to produce knowledge. Slowly but in a steady way, artificial intelligence should take over this role.

What is knowledge production? When I write “knowledge production”, I know that it encompasses the capabilities of Large Language Models as well as graphic generation models. However, what I want to mean is the deep ability to understand and formulate the realities of the universe.

As an example, if Artificial General Intelligence is not able to combine quantum physics with general relativity, then something will be missing there. It has always been the responsibility of human beings to formulate what is unknown. It has always been the humans to decode and generate the language of nature, mathematics. If AGI is not able to do that, it will mean that the responsibility of knowledge production cannot be transferred fully yet.

The AGI should not require a prompt. It is on its own, builds and produces knowledge based on its curiosity.

I argue that in the new era (by thinking that 2022, 2023 and 2024 have been massively important for AI development), the major responsibilities of humans should be knowledge management and knowledge transmission.

Being able to manage the knowledge, understand how to use it and transfer it are the points that humans should still keep leading.

The real knowledge holders will be the ones who will communicate well. This is knowledge management and transmission.

Apart from anything else, teaching and communicating will be much more important than ever before.

This is, with my current understanding, how I see the future.

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