Why would we not design the AI/ML algorithms around an endless variable data chain?
Human consciousness is an "observational energy" that utilizes sense experience and conceptual thought to develop patterns. This basic functionality could be replicated to teach an AI algorithm to gradually understand human concepts.
This is the underlying assumption we're taking at https://vitae.foundation
I see what you're saying, but the problem with endless variable data chains is that someone has to create these endless variables, which is by nature impossible.
For instance, chess game AI is extremely impressive, but it's still a bunch of functions and limitations that were programmed in. Can you replicate the changes in intelligence that could occur in a human chess player when he/she is under pressure? You can't do that with AI because a programmer will have to program the concept of pressure.
Thus, as programmers attempt to create increasingly complex AI platforms, they discover that variables have their own sub-variables, and that these sub-variables have their own sub-variables! It's an impossibility that will never be solved.
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I see where your line of thought process is, but I believe the benefit of AI should be in its ability to understand a growing number of concepts on its own, without having to be taught them through pre-written static code.
I'm convinced that a consciousness algorithm exists, but it's so simple that's we're overlooking/overthinking it.
I believe conscious learning requires sense experience, which can be artificially implemented.
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