"How difficult is it to define a brain? We know that the brain must be somewhere hidden in the genome fits in a CD-ROM. It's not that complicated. It's easier than Microsoft Windows. ...bout 2% of the genome is coding for proteins, and maybe about 10%... tells you when to express which protein, and the remainder is mostly garbage. It's old viruses that are left over and it's never been properly deleted because there are no real code revisions in the genome. ...How much of this 10%, about 75 megabytes code for the brain, we don't really know. What we do know is that we share almost all of this with mice. Genetically speaking, a human is a pretty big mouse, with a few bits changed to fix some of the genetic expressions. ...Most of the stuff there is going to code for cells and metabolism and what your body looks like, ..."

“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”