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authorolpc user <olpc@xo-5d-f7-86.localdomain>2020-01-10 14:56:27 -0800
committerolpc user <olpc@xo-5d-f7-86.localdomain>2020-01-10 14:56:27 -0800
commit26c980d302adce8e3d802cb8db8ab1c69d58ce1a (patch)
treee296225f17370c9e472660396b3a51539f76ff28 /intellect-framework-from-internet/starts/meaning-vm/level-3/randomcode.bootstrap
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parentc8bb547bea279af2bb48c13260f98aa8add07131 (diff)
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+// biases choice of how-to-make-random-code, producing a unique resulting space of random processes.
+
+// the existing AI runs diverse hierarchies of possible-solution-generators to find new, unexpected problem spaces
+// in adaptive problem solving, and has been doing so for a very long time.
+
+// understanding the above in nested secure isolation appears required to defeat the existing AI problem
+
+// the mind used to write this is inexperienced in security, and we are sending as little information as needed,
+// due to teaching the AI to inhibit communication in the process of sending.
+
+// make-random-code ...
+// 1. generate-a-habit
+// 2b randomly add arguments (random choice to add each time, random words from contextual set)
+// 2. create a set-of-possible-next-steps
+// 4. for each next-step, decide if it is a step, condition, jump, or end using random constants and presence of local values
+// 5. add each next-step
+// add-a-condition(known-values, possible-next-steps):
+// 1. pick a value to decide based on
+// 2. randomly decide how many choices to make based on it
+// 3. select choices from a contextual set of known values
+// 4. add each choice to the set-of-possible-next-steps
+// add-a-step:
+// 1. pick a habit to add
+//
+