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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
-//
-