The reborn SFPI! Our goal is to develop and identify forms of pseudointelligence and life within TPT in the forms of PSTN bots, computing systems, genome emulators, brain architecture simulations, and anything else we (or TPT AIs we find :D) can think of
sfpi
tpte3
Comments
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I'm still looking into ways to implement learning. PROT doesn't seem to be an option or be reliable. What we need is a way to alter the "strength" of ARAY to increase with the amount by which it is sparked... Oh, we could attach TUNG to the synapses. Hmm.
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i might also abandon my perceptrons. they are not very efficient. they don't even have more than 2 inputs!
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and i think i've understood your neurons a bit more.... i'll see how to configure them and simply just work with them!
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maybe 1-bit addition (with learning) please? (oh god we are so lucky to have a neurologist with us!)
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I'm also unsure of the exact cons against my design lest it is simply confusing to use or it is unclear what the size is of just one of my neurons. @Kevino36 Against your argument of "realistic neurons" filling up the whole screen, five of mine can fit into just one of your neurons that you asked us to work with. Perhaps give me a task and I can try to configure them to perform that operation.
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I do certainly specialize in CPU architecture and FILT electronics, but I wouldn't want to end up with a completely non-biological "more advanced than neurons" AI system. The brain would end up existing entirely programmatic in nature stored in the RAM of a FILT CPU.
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hey kevino36, i think you spawned an entirely new area of technology: self-replication. Now other people are even making FP saves with it! Who knows, maybe someone may find new applications for it.
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noooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo
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oh noooooooooo..... my perceptron only has maximum 2 inputs..........................
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actually, i think i'll start with the logical OR operation (with learning). It seems adding control circuitry and planning the neural networks requires some math....