"... Facebook... Twitter... are companies that... own a protocol... imposed on a community and... different components for monetization... user management... user display... rating... anonymity... for import of other content... Imagine that you take these components of the protocol apart and... communities are allowed to mix and match their protocols, and design new ones... the UI and the UX can be defined by the community, the rules for sharing content across communities can be defined, the monetization... the way you reward individual users... the way users represent themselves... can become part of the protocol... n some communities it will be a single person that comes up with these things; in others it's a group of friends. Some might implement a voting scheme... Who knows what might be the best self-organizing principle for this. ...It can be automated so people can write software for this. ...Let's not make an assumption about this thing if you don't know the right solution... In most areas there is no idea whether it will be people designing this ad-hoc, or machines doing this. Whether you want to enforce compliance by social norms, like, or with software solutions, or with AI that goes through the post-op people, or with a legal principle... If you let the communities evolve, and you just control it in such a way that you are incentivizing the most sentient communities. The ones that produce the most interesting behaviors, that allow you to interact in the most helpful ways to the individuals. ...So that you have a network that gives... information that is relevant to you. It helps you to maintain relationships to others in healthy ways. It allows you to build teams... to... bring the best of you into this thing and goes into the coupling, into a relationship with others in which you produce things that you would be unable to produce alone."

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“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 ...”

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