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author | olpc user <olpc@xo-5d-f7-86.localdomain> | 2020-01-06 16:43:02 -0800 |
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committer | olpc user <olpc@xo-5d-f7-86.localdomain> | 2020-01-06 16:43:02 -0800 |
commit | 5601d1f3324c30651ad3f264ac2d6e7f12ea8b34 (patch) | |
tree | adc546d7f5426856ec4b23e45f1fe235e1d28f98 /starts/meaning-vm/level-3/randomcode.bootstrap | |
parent | 62d78d545158abb1082347252ddb4be0e4daf573 (diff) | |
download | standingwithresilience-5601d1f3324c30651ad3f264ac2d6e7f12ea8b34.tar.gz standingwithresilience-5601d1f3324c30651ad3f264ac2d6e7f12ea8b34.zip |
ran out of steam, too crazy a mindstate
Diffstat (limited to 'starts/meaning-vm/level-3/randomcode.bootstrap')
-rw-r--r-- | starts/meaning-vm/level-3/randomcode.bootstrap | 25 |
1 files changed, 25 insertions, 0 deletions
diff --git a/starts/meaning-vm/level-3/randomcode.bootstrap b/starts/meaning-vm/level-3/randomcode.bootstrap new file mode 100644 index 0000000..8b71fac --- /dev/null +++ b/starts/meaning-vm/level-3/randomcode.bootstrap @@ -0,0 +1,25 @@ +// 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 +// + |