>> This is a great summary of why I think current deep-learning based methods will never lead to 'intelligence' that is good enough to e.g. navigate the real world like humans do. They are all based on learning to recognize patterns to infer which things look the same as whatever was in their training set, but they have no semantic capabilities beyond simple classification.
I'm not a neurologist or cutting edge ML researcher by any measure, but this is my viewpoint as well. The astounding amount of information and internal models, and the astounding complexity of these models in terms of connections and feedback loops (and their plasticity) implies to me that our current pedestrian attempts at AI are nowhere near what is required for GAI, let alone human level GAI.
It seems to me like a lot of hubris to suggest (as I've seen people do) that in just a couple of years we could get there. Currently we have not even a clue how consciousness arises. We have evidence that it is physically possible, but that's it.
The leading enterprise in the area, Google/Youtube routinely fail to identify objects and sounds in videos.
My prediction is that what we have currently is a local optimum that expands our capabilities a lot, compared to what we had before, but in terms of genuine insight into human level AI, it will prove to be a dead end.
I'm not a neurologist or cutting edge ML researcher by any measure, but this is my viewpoint as well. The astounding amount of information and internal models, and the astounding complexity of these models in terms of connections and feedback loops (and their plasticity) implies to me that our current pedestrian attempts at AI are nowhere near what is required for GAI, let alone human level GAI.
It seems to me like a lot of hubris to suggest (as I've seen people do) that in just a couple of years we could get there. Currently we have not even a clue how consciousness arises. We have evidence that it is physically possible, but that's it.
The leading enterprise in the area, Google/Youtube routinely fail to identify objects and sounds in videos.
My prediction is that what we have currently is a local optimum that expands our capabilities a lot, compared to what we had before, but in terms of genuine insight into human level AI, it will prove to be a dead end.
I'd love to be proven wrong though.