April 8, 2025

A lot of unrealistic technology is being rationalized by thought process fraud—pretending that machines can produce thought. Remove the pretense of thought and the machines would need to stand on their own merit. But add the obscurity of misrepresented processes, and criticism becomes impossible, while unlimited imagination replaces science and engineering.

To frame thought processes in terms of machines is an assault upon rationality. One of the focal points is to pretend that machines don't have the limitations of human thought processes.

The conflicts with reality are beyond absurd in the pretense of machines thinking. A machine can only move electrons from one piece of silicone to another. Anything near by is uninfluenced, until some other electron moves into it.

By contrast, a thought is immersed in infinite surrounding realities acquired through perception and evaluation with constructed knowledge to influence meaning. Meaning in an electron moving into silicon? It's like pretending that pushing a marble with a stick is superior to a river flowing.

But don't the machines do a better job than humans at answering questions? That's nihilism like saying doesn't an encyclopedia know more than humans. Humans have to put the answers in place that machines produce. Calling it generative is intended to imply thought processes, while all it is is an obscure variation of averaging and borrowing patterns. Borrowing is a sick excuse for designing.

Perhaps the biggest fraud in the fake artificial intelligence is that science and engineering cannot be scraped off the internet, because the numbers are in tables and graphs which don't scrape. Without science and engineering artificial intelligence is worthless for the demanding purposes of modern complexities.

What the result adds up to is a social trend of replacing rationality with fakery used to monger power by incompetents. When the public gets swept up in that process, it leaves behind real science and engineering required to solve real problems.

Of course, computers solve some problems, but only when humans add the methodologies for complex procedures. It takes human knowledge to design the methodologies, not the intelligence of electrons flowing from one piece of silicon to another.

If all types of water were mixed together to represent water, would you want to drink it? Professionals don't want a mixture of everything; they want the most recent, correct and relevant of everything. So who is the artificial intelligence being produced for? The uninformed? Propagandized? Impressionable?