// 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
//