Languages are simple once you understood the making of them. Take children, they learn the alphabet first, and use notions or images in alphabetical order, which you associate with this list of short words from A to Z in western cultures. From short words like “Cat” and “Dog” the learner moves on to longer ones like “Bird”, just 4 letters now. More advanced learners then use more letter words like “supercalifragilisticexpialidocious” invented for amusement in the Disney-film Mary Poppins. It sounds a bit like one of those never-ending long German words with lots of nouns just added on. This is exactly what we shall do in the following. A bit like in computational linguistics when ChatGPT is predicting the next word, we use algorithmic thining to form new combinations of an alphabetical list of notions. We start in the table below with column 1, then tell our spreadsheet to copy cells A1-01 to Z1-26 list and insert it in the second column just one cell below and insert Z2-27 at the place on the top of the list of column 2, which is A2-01. Then take this column 2 and repeat. Stop after, lets say the repeat counter is N=25.
The first 2 words combination then is “Action Zero”. Take this, enter it into Computer Search and take the top entry. “ActionZero” is an actual company name proposing actions to achieve  net-zero emissions. Following this, we produce a whole encyclopedia of pretty up-to-date knowledge from the WWW with hardly any humans involved anymore. We only need to cut out duplicates and nonsense entries. That’s what most editors or teachers are used to do. Knowledge creation might no longer be reserved to the human species. Oh my God – but the machine might eventually sort this word out as nonsense concept, too. The new mantra could be ZeroGod or let us try the reset like in GodZero. In other words we move from HamletMachine to our own KnowledgeMachine.