I have these questions.
How is it possible an AI can speak when it has no training data?
Like how does this work?
Where are the words coming from, how is it building the sentences?
And then I think about mathematical solutions to that problem.
And there you go, I got one.
And the people don’t know it, they don’t have it.
Talk about self learning AI, no trainings’ data at all.
Nothing but just an algorithm.
Just a list of words.
And then it just learns by itself, given just the list of words.
How does this work?
Oh, I know this one.
So this is real AI.
The is a real fucking AI.
The AIs they currently use, these are word predictions, nothing else.
But I have the exact blueprint and instructions, mathematical concepts on how to build a real legit AI.
But it cannot beat the human, impossible no chance.
Because why?
Dimension limitations, of course.
So the human expands over multiple dimensions when one dimension fails.
And the word dimension can fail super quick.
When a dimension fails it is like a wave breaking that dimension, it expands, it increases its dimension and that’s where the part goes that did not fit into the previous dimension.
So the AI has to be like this of course also.
So you need to have a multi dimension AI.
Because the word dimension has limitations.
So the AI needs to be able to then do dimension expansion using a different algorithm on each dimension.
So you need an AI with three different algorithms, one for each dimension.
And a few other things, and you can get it to near full human replacement nearly, 99.999999%, but the human still beats it.
Because of dimension restrictions and limitations, the human will always beat the AI, forever.
That was just a generic question, how does it work with AIs with no training data, how is it possible they can still speak I’m wondering.
Question for the populous.



















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