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RE: [A Call for Participation - Collaborative Content Creation] An Article about STEEM as the world's first publicly-accessible SuperIntelligence! (Crowdfund + Liquid payout will be distributed to best creators / comments)

in #collaboration7 years ago (edited)

Hahah, my dictatorship may choose a socialist scheme or something with an equal division of labor / reward if there are no spammers appearing to make my life miserable.. but I think it's great there isn't much of that here anyway.

Btw are you familiar with the human brain, and stuff like synapses and neurons? I've been having some abstract analogy in mind for some time now that could use some illustration / research. Basically activities (especially the act of liking / voting) on other traditional social sites are not inherently charged by "currency", hence not analogous to a human brain. But on STEEM, that seems to be the case, each post is like a meta-congregation of neurons/synapses (obviously I'm not a neuro expert..). Just throwing this out there - anyone think it's a point for research / writing - feel free to come up with something.

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Unfortunately, this is not my expertise. Maybe @justtryme? I have started to collect material that I have not read yet on neutral networks, so that I may soon gain knowledge on this, but I believe you are looking for help earlier than soon ^^

Sorry!

I have not studied neurons outside general biology courses in undergrad. However in kevin's analogy steem in the steemit user post neural system would be like dopamine in the brain nerve nervous system. As steem is the reward molecule for our platform just as dopamine is the reward molecule for the brain (or at least it gives us a rewarding feeling). Maybe this makes sense? Anyone study nerves round these parts?

My friend and I have created networks and I do know a bit

tell us about it :)

Calling for neurologists / neuroscientists!

biology its just a series of neurons with a few hundred or thousand connections to another ones. Each has a different amount of fat so a different amount of signal goes through. That basically modifies the data slightly. Over and over.

If we modify it for AI its just a series of linear transformations on data. If it doesn't get a "correct" answer it changes part of that matrix unit it gets a correct one

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