a prototype for an AI safety library that allows an agent to maximize its reward by solving a puzzle in order to prevent the worst-case outcomes of perverse instantiation
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Updated
Nov 8, 2022 - Python
a prototype for an AI safety library that allows an agent to maximize its reward by solving a puzzle in order to prevent the worst-case outcomes of perverse instantiation
Consists of Projects and Assignments Completed in Advanced Embedded Software Development Course | ECEN 5013-002 | University of Colorado, Boulder: System Calls, Kernel Modules, Cross-Compiling using buildroot, IPCs, FreeRTOS, Multithreading..
a project to ensure an artificial agent will eventually reach the end of its existence
a project to detect environment tampering on the part of an agent
Walrus logging utility for any project
a library designed to shut down an agent exhibiting unexpected behavior providing a potential "mulligan" to human civilization; IN CASE OF FAILURE, DO NOT JUST REMOVE THIS CONSTRAINT AND START IT BACK UP AGAIN
a project to ensure that all child processes created by an agent "inherit" the agent's safety controls
Fail-fast vs fail-safe vs weakly-consistent iterators.
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