AI and Large Language Models

Today's tech news is all about AI and LLM (Large Language Models).

Everyone is wondering what those are and seems pretty scared. 

No one seems to understand that LLM has been around since the birth of the human race.

"WHAT??" you scream?

What everyone has failed to recognize is that *WE* are LLM's. 

We are remarkably powerful and complex computers, who use pattern recognition to survive.

What has changed is that we are quickly approaching the ability to create non biological ("non-bio") computers that are as powerful as biological computers (humans).

It is my hypothesis that if you were to track every input to a human being, from the moment they are able to first perceive input, you would be able to accurately predict the outcome of every subsequent decision point. In fact, the accuracy would improve over time due to the ever increasing dataset of both inputs and outcomes.

That is the same principle as LLM's.

what was holding back the efficacy of non-bio intelligence ("NBI")  was the ability to process such a massive dataset.

Note that I do not use the term "Artificial Intelligence". That is because I do not believe that there is such a thing as "Artificial Intelligence".

The Oxford Dictionary defines intelligence as "the ability to acquire and apply knowledge and skills"

Given that definition, can we really call LLM's "Artificial"?

now that computing power is (seemingly) no longer an issue, it's only a matter of time before we can no longer differentiate between human intelligence and NBI. In fact, litigation is already taking place regarding the "ownership" of NBI creations.