The first interesting thing I'm told is that real biological neurons operate as booleans in the real world, whereas in computer land I'm told it is preferable t

The first interesting thing I'm told is that real biological neurons operate as booleans in the real world, whereas in computer land I'm told it is preferable to use float neurons. I suppose that you could chain biology neurons together in groups to achieve float-like behavior. So that's just one small example that we don't need AGI to be a model of the real human brain, with synapses and blood-brain barriers and everything. Rather, we just need one system to do n number of tasks at roughly the same level as a human for it to be "general". Maybe it's not AGI, but it also is not a hardcoded robotic arm that can only work with square objects of a certain dimension. If you had a robot that was pretrained in a virtual world, assembled in the real world, and then it begins testing and observing and resolving its own physical capabilities (moving arms and legs to stand and jump and backflip)... and then it also had a vision system to scan for threats and objectives... and then it also could resolve text and voice prompts to learn its next objective ("go get my favorite beer can from the fridge")... and the robot knows to ask you more questions to learn what your favorite beer is and also it knows how to preserve its own life in case the dog attacks it or the fridge topples over on it... then I think you have an extremely useful tool that will change the world, regardless of if it is labeled as AGI or not.