I just came here to clarify that ChatGPT can generalize to some extend and hence possess some sort of understanding of the natural world. Who are we to judge that his algorithms are intrinsically worse than ours and that he doesn’t understand ‘in the proper way’ ?
Peter V.
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Hi, thanks tons for your interesting summary, even as STEM non-literate i believe i managed to grasp a few interesting bits !
I wondered, what’s your intuition about the software/operating system side, as in the way data is handled/ordered at the subconscious level ? Wasteful or efficient ? Isn’t that a key point that could render neuromorphic hardware obsolete, and perhaps suggest that AGI could run on current PCs as one commentator posited ?
As in, if i’m asking myself where i was yesterday, on a computer cognitive architecture, i’d just need to access a few pointers and do some dictionary searches and i’d get a working list of pointers in a minimal number of cycles, while my human mind seems to run a 100% CPU search with visual memories flooding back. I didn’t ask for images or emotions or details of what was at the scene, i just needed a pointer to these places to be able to pronounce their name.
Isn’t the human mind extremely limited by it’s wavering attention span ? By its working memory ? By the way information is probably intricately linked with sensory experience ? How much compression / abstraction is taking place ?
Think about asking a computer to design a house. As a human i’d never even be able to hold the design in memory, i’d need a pen and paper and that’d considerably slow me down, and getting all the details correctly would ask me even more time. A computer probably could yield you a proper perfect design in a fraction of a second. Mental calculus is the same.
Yet, the 2000 TB of the mind seems like small number. How does the brain do that much with so little ?
There’s also the question of people functioning normally after getting half of their brain removed, what if 1⁄4 was enough ? 1⁄8 ? That could be at least 1 OOM of inefficiency for brains in relation to normal human intelligence.