8 ms·
Why wouldn’t you call a human brain “statistical pattern regurgitator” as well, if it comes to this? Matching learned patterns is a big part of how brains work.
by eterevsky 3y ago
Why wouldn’t you call a human brain “statistical pattern regurgitator” as well, if it comes to this? Matching learned patterns is a big part of how brains work.
I don’t see why a strong AI _needs_ to be trained specifically on reality. Imagine an alien race that sees world in X-Rays and neutrinos. An alien AI researcher claims that a “true intelligences” must train on the same inputs, and all those systems trained on the part of the spectrum between infrared and ultraviolet only fake intelligence.
I don’t see why intelligence has to be analogue in any way. Analogue systems are inherently noisy and contain limited amount of useful information, so you can always faithfully approximate them using digital representations.
If I am not mistaken Deepmind has shown spontaneous emergence of communication around 5 years ago when training agents in multi-player team shooters.
- radicalace 3y agoyou absolutely understand. such a key point. GTP discovers deep structural truth, and characterized this with a multidimentional heat map, about the system that produced the data its trained on. that comes from Stephen wolfram. if you trained it on clouds, it would have an autistic knowledge of clouds. what GTP is doing is exactly the same thing as human intuition. its not statistically driven, this is proven mathematically, thats why we havent seen it before. but its still just patterns and concepts, no intellect or logic. the key observations: imagine a human with intuition so good and so powerful that you could compose an essay without thinking, as a reflex. people dont understand how insanely powerful this AI would be if it had an intellect to match its intuition. its coming. people dont understand that intuition is a necessary part of an intellect, that were already half way to true AI. these LLMs are a bundle of kindling.