He have non-confirmed simplified hypothesis with nice drawings for how microcircuits in the brain work. The ignore more than a million things (literally, they just have to ignore specific synapses, the multiplicity of synaptic connection etc… if you sum those things up, and look at the model, I would say it ignores about that many things). I’m fine with simplifying assumptions, but the cortical microcircuit models are a butterfly flying in a hurricane.
The only reason we understand V1 is because it is a retinotopic inverted map that has been through very few non-linear transformations—same for the tonotopic auditory areas—as soon as V4, we are already completely lost (for those who don’t know, the brain has between 100-500 areas depending on how you count, and we have a medium guess of a simplified model that applies well to two of them, and medium to some 10-25). And even if you could say which functions V4 participates more in, this would not tell you how it does it.
All true points, but consider your V4 example. We have software that is gradually approaching mammalian-level ability for visual information processing (not human-level just yet, but our visual cortex is larger than most animals’ entire cortices, so that’s not surprising). So, as far as building AI is concerned, so what if we don’t understand V4 yet, if we can produce software that is that good at image processing?
I am more confident that we can produce software that can classify images, music and faces correctly than I am that we can integrate multimodal aspects of these modulae into a coherent being that thinks it has a self, goals, identity, and that can reason about morality. That’s what I tried to address in my FLI grant proposal, which was rejected (by the way, correctly so, it needed the latest improvements, and clearly—if they actually needed it—AI money should reach Nick, Paul and Stuart before our team.) We’ll be presenting it in Oxford, tomorrow??
Shhh, don’t tell anyone, here, just between us, you get it before the Oxford professors ;) https://docs.google.com/document/d/1D67pMbhOQKUWCQ6FdhYbyXSndonk9LumFZ-6K6Y73zo/edit
He have non-confirmed simplified hypothesis with nice drawings for how microcircuits in the brain work. The ignore more than a million things (literally, they just have to ignore specific synapses, the multiplicity of synaptic connection etc… if you sum those things up, and look at the model, I would say it ignores about that many things). I’m fine with simplifying assumptions, but the cortical microcircuit models are a butterfly flying in a hurricane.
The only reason we understand V1 is because it is a retinotopic inverted map that has been through very few non-linear transformations—same for the tonotopic auditory areas—as soon as V4, we are already completely lost (for those who don’t know, the brain has between 100-500 areas depending on how you count, and we have a medium guess of a simplified model that applies well to two of them, and medium to some 10-25). And even if you could say which functions V4 participates more in, this would not tell you how it does it.
All true points, but consider your V4 example. We have software that is gradually approaching mammalian-level ability for visual information processing (not human-level just yet, but our visual cortex is larger than most animals’ entire cortices, so that’s not surprising). So, as far as building AI is concerned, so what if we don’t understand V4 yet, if we can produce software that is that good at image processing?
I am more confident that we can produce software that can classify images, music and faces correctly than I am that we can integrate multimodal aspects of these modulae into a coherent being that thinks it has a self, goals, identity, and that can reason about morality. That’s what I tried to address in my FLI grant proposal, which was rejected (by the way, correctly so, it needed the latest improvements, and clearly—if they actually needed it—AI money should reach Nick, Paul and Stuart before our team.) We’ll be presenting it in Oxford, tomorrow?? Shhh, don’t tell anyone, here, just between us, you get it before the Oxford professors ;) https://docs.google.com/document/d/1D67pMbhOQKUWCQ6FdhYbyXSndonk9LumFZ-6K6Y73zo/edit