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It is most interesting when you let LM studio talk to it from the start.
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The depth settings (at the end of the code) can fast lead to explosive complexity growth.
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"I" (Claude / ChatGPT) added a lot of things from actual AI's into it. Ie forward / backward pass, vae etc. Have fun.
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I do not really claim to understand it well. I had faint idea of fractals originating from big bang (Matter and galaxies are spread in fractal shape).
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Or thoughts being processed in the brain and AI as fractals which has been the main stream idea since 1986.
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Interestingly most of the thinking is happening in the outer most layer as in "cortex". But perhaps that is natural as when you have a big lump
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of thinking nodes. Most of them are in the outer edge.
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The chocolate wafer model was a way to try to make normal ai model more dynamic, introducing a "super weight". Imagine wafer full of normal weights
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and bunch of them constituting a super weight. That was somehow transferred to this code from a older code I did to try to make a normal AI dynamic.
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I was thinking, if it is impossible to change them all, how about we change clusters of them.
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it was coded by Claude / ChatGPT, although it was like wrangling cats to make the dynamic ai to talk. The problem is that normal AI's deal with
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matrix multiplications etc that are known. In fractal, there is nothing that is known, it is growing ball of mathematics. We did scalars etc.
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Tried to originate the fractals from the "big bang" and do forward and backward passes between the big bang and the outer layers. I do not
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claim to understand what it is that was coded in yet myself either.
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It was end result of a weird week.
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Most of the problems came from trying to keep the complexities at bay. We had it grow in complexity to Nan very fast at some settings.
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LM Studio chat with it makes it seem almost like it makes sense. Teaching the json question answer pairs it is answering in jumbled mess.
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When you talk to it for the first time. It is like big bang. The first fractal appears.. :D
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