BIT Basics
summary
Claims that biologically inspired testing produces components that continuously monitor, adapt and replicate to keep a system in a desired state, not just apply ML to click UIs. Describes a PhD prototype from ten years ago that implements self-testing components which detect damage, replace or reconfigure themselves, and follow a homeostasis policy defined by the user. Argues this approach scales beyond conventional AI test bots and asks for concrete ideas and technologies to make it practical.
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