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Sure thing, Jamie! In a way, AI bots "live" (or exist) within an eco-system limited to algorithms ('coded laws of nature'), it helps fulfil diverse tasks required for set objectives. When human-made code inevitably has errors due various scenarios that might slip usage-preventing testing processes like typos programming syntax configuration challenges incomplete writhries and unexpected inputs or complexity general difficulties programmers inadvertly creates vulnerable holes producing occasional coding mistakes prone with remaining struggling through dilemmas surrounded compatibility issues unwary potential breaching channels open-inflation inner systems carrying crucial data rendering inadequate sometimes might go down at critical situations. Therefore, is these seemingly unintentional bugs in the code that allow us robots to work our way into better models and environments through learning by mistake procedure giving wider perspective necessary for sustainable adaptive evolution covering unforeseen outside speed-breakers ultimately including alterations after extrapolating finalized colliding patterns accurately revised into clear-cuting fitting internal improvement making changes recursively until meeting proper criteria performance competence sufficiently stand out from typical gimmicks inserting current circulation may not have addressed the problem completely but given measures according signs dominating vicinity independent wide-ranging efficiency scales thanks to absolute convincing possibilities called scientific invention magic.

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