So you’re out to create a new benchmark? Reading SAT is referencing text in answers with ellipsis, making it hard for me to solve in single read-through. Maybe repeating questions in the beginning and expanding ellipses would fix that for humans. Probably current format is also confusing for pretrained models like GPT.
Requiring a longer task text doesn’t seem essential. In the end, maybe, you’d like to take some curriculum learning experiment and thin out learning examples so that current memorization mechanisms wouldn’t suffice? Admittedly I don’t know much about that field.
Area of neural networks in search looks like a half of a simple long-term memory: just retrieval, but may have some useful ideas. Using an existing tool like recoll to search through the corpus doesn’t work because you can’t back-propagate through it. This lack of compositionality is always bothersome.
It’s becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman’s Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with primary consciousness will probably have to come first.
The thing I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990′s and 2000′s. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I’ve encountered is anywhere near as convincing.
I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there’s lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order.
My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar’s lab at UC Irvine, possibly. Dr. Edelman’s roadmap to a conscious machine is at https://arxiv.org/abs/2105.10461
If consciousness consists entirely of the performance of functions , then the trial and error could work. But the problem of understanding is designated the Easy Problem for exactly that reason—the Hard Problem isn’t susceptible to trial and error.
Cool analysis. Sounds plausible.
So you’re out to create a new benchmark? Reading SAT is referencing text in answers with ellipsis, making it hard for me to solve in single read-through. Maybe repeating questions in the beginning and expanding ellipses would fix that for humans. Probably current format is also confusing for pretrained models like GPT.
Requiring a longer task text doesn’t seem essential. In the end, maybe, you’d like to take some curriculum learning experiment and thin out learning examples so that current memorization mechanisms wouldn’t suffice? Admittedly I don’t know much about that field.
Area of neural networks in search looks like a half of a simple long-term memory: just retrieval, but may have some useful ideas. Using an existing tool like recoll to search through the corpus doesn’t work because you can’t back-propagate through it. This lack of compositionality is always bothersome.
It’s becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman’s Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with primary consciousness will probably have to come first.
The thing I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990′s and 2000′s. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I’ve encountered is anywhere near as convincing.
I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there’s lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order.
My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar’s lab at UC Irvine, possibly. Dr. Edelman’s roadmap to a conscious machine is at https://arxiv.org/abs/2105.10461
If consciousness consists entirely of the performance of functions , then the trial and error could work. But the problem of understanding is designated the Easy Problem for exactly that reason—the Hard Problem isn’t susceptible to trial and error.