"he types of models that we form right now are not sparse enough... which means that, ideally, every potential model state should correspond to a potential world state. So... if you vary states in your model, you always end up with valid world states. ...ur mind is not quite there... an indication is especially what we see in dreams. The older we get, the more boring our dreams become, because we incorporate more and more constraints that we learned about how the world works. So many of the things that we imagine to be possible as children turn out to be constrained by physical and social dynamics, and as a result fewer and fewer things remain possible. It's not because our imagination scales back, but the constraints under which it operates become tighter and tighter. ...So the constraints under which our neural networks operate are almost limitless, which means it's very difficult to get a neural network to imagine things that look real."

“Long ago, physics and other natural sciences... had become computational.”

“When the Artificial Intelligence movement set off fifty years ago, it bristled with ideas and optimism, which have arguably both waned since. The field has regressed into a multitude of relatively well insulated domains like logics, neural learning, case based reasoning, artificial life, robotics, agent technologies, semantic web... each with their own goals and methodologies. The decline of the idea of studying intelligence per se, as opposed to designing systems that perform tasks that would require some measure of intelligence in humans, has progressed to such a degree that we must now rename the original AI idea into Artificial General Intelligence.”

“verything else are ideas about the world, and I suspect that they are relatively sparse, and also the intuitive models that we form about social interaction. ...he priors are present in most social animals ... Many domestic social animals ...have better social cognition than children.”

“It's relatively easy to build a neural network that... learns the dynamics. The fact that we haven't done it right so far doesn't mean it's hard... biological organism does it with relatively few neurons. ...ou build a bunch of neural oscillators that entrain themselves with the dynamics of your body is such a way that the regulator becomes isomorphic and it's modeled with the dynamics that it regulates, and then it's automatic. ...t's only interesting in the sense that it captures attention when the system is off .”

“MicroPsi is a cognitive model that represents the author’s attempt to contribute to the discussion of Artificial General Intelligence ...”

“Joscha Bach's home page”