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But thats the point, our brain is clearly a lot more than just a big table of probabilities. You only need to look at the absolutely insane volume of data and t
by saberience 6y ago
But thats the point, our brain is clearly a lot more than just a big table of probabilities. You only need to look at the absolutely insane volume of data and training time that these models need. How much time does it take a for human to understand a concept like "love" and what volume of training data is required? Computers would just regurgitate quotes from poetry or novels about love without any real understanding after billions of hours of training time and ingesting every document on the internet. A human can understand love in a tiny fraction of the time and with a tiny fraction of the volume of information processed and they also understand it in a more fundamental way and can articulate that in a way these models cannot.
You might argue back, well the human brain has pre-trained neural networks with billions of hours of training time. Well, that isn't really the case. We don't start off with some pre-existing memory of what "love" means, or what "Physics" is, or trillions of bytes of data. All we have is a capacity to learn which is highly efficient, a conscious mind which is aware of itself, and certain fundamental drives driven by our bodies and instincts. If you have a human child and give it zero input information it will never learn a language or be capable at all in any sense of the term. So we become incredibly capable based on a tiny fraction of input data fed into us after birth.
The way the human brain and mind works is deeply tied in to the experience of having a body, knowing we are mortal, and having fundamental drives such as a drive to survive, eat, drink, keep ourselves safe, and also a drive to be social, find a mate, and procreate. I would argue that we will never be able to have a computer/algorithm that thinks like we do unless it also has drives like we do and a body like we do, since so much of our process of thinking is tied in to having a body, our awareness of mortality, and our basic human drives and experience.
- keenmaster 6y agoX = A+B A= C+D B = E+F Love = X = A+B = C+D+E+F Obviously the above is contrived and abstracted, but you get my point. If I took a little bit of time, I can schematically map every word to makes up the definition of love, and how they interact. Then I can associate 3D, real world graphical observations to each of those words and then love as a concept holistically (as humans do, we're not just confined to text data, we observe extremely rich 3D visual data, and audio data, and touch data, etc...). There's no reason to believe a massive "correlation machine" can't do the same thing with the right algorithms, enough compute power, and multimodal inputs. Furthermore, we can make the correlation machine even better by specializing parts of the hardware for certain tasks, just like the brain.
- saberience 6y agoAnd it still wouldn't be the same. Again, our notion of love is tied into having consciousness, which machines would not have. We still don't even understand what consciousness is, how to define it, or how it is generated in the brain. While machines are not consciousness they could never "understand" or "experience" what we call "love" because love again is tied up with our experience of consciousness, the idea of mortality, and having a physical presence in the world.
- keenmaster 6y agoWhat is consciousness, and what unique non-tautological properties does it give us? I know of the general idea of consciousness, but I can’t boil it down to first principles. Self-awareness, on the other hand, is more tangible. AI would seem capable of internal cognition, reflection on past experiences, etc...They might not have the desire or need for such reflection, but they would certainly have the ability.