In theory. Then comes the question of how exactly are you gonna teach/train it. I feel our current approach is too strict for proper intelligence to emerge, but what do I know. I honestly have no clue how such a model could be trained. I guess it would be similar to how people train actual braincells? Tho that field is very immature atm... The neat thing about the human brain is, that it's already preconfigured for self learning, tho it does come with its own bias on what to learn due to its unique needs and desires.
šš„³
Iād say, you would then need something that takes the role of hormones in that system (like hardcoded reactions to events in and outside of the AI brain/body(so called emotions I would say)) that trigger the connections to grow, shrink, get their values adjusted etc.
At least that would be my approach.
Calling the reward system hormones, doesn't really change the fact that we have no clue where to even start. What is a good reward for general intelligence? Solving problems? That's our current approach, which has the issue of the AI not actually understanding the problems and just ending up remembering question answer pairs (patterns). We need to figure out what defines inteligence and "understanding" in an easily measurable way. Which is something people knew almost a hundred years ago when we came up with the idea of neural networks, and why I say we didn't get any closer to AGI with LLMs.
In theory. Then comes the question of how exactly are you gonna teach/train it. I feel our current approach is too strict for proper intelligence to emerge, but what do I know. I honestly have no clue how such a model could be trained. I guess it would be similar to how people train actual braincells? Tho that field is very immature atm... The neat thing about the human brain is, that it's already preconfigured for self learning, tho it does come with its own bias on what to learn due to its unique needs and desires.
šš„³ Iād say, you would then need something that takes the role of hormones in that system (like hardcoded reactions to events in and outside of the AI brain/body(so called emotions I would say)) that trigger the connections to grow, shrink, get their values adjusted etc.
At least that would be my approach.
Calling the reward system hormones, doesn't really change the fact that we have no clue where to even start. What is a good reward for general intelligence? Solving problems? That's our current approach, which has the issue of the AI not actually understanding the problems and just ending up remembering question answer pairs (patterns). We need to figure out what defines inteligence and "understanding" in an easily measurable way. Which is something people knew almost a hundred years ago when we came up with the idea of neural networks, and why I say we didn't get any closer to AGI with LLMs.