Darwin Complete Concept
The idea of "Darwin complete" is introduced as a framework for creating open-ended algorithms capable of innovating across diverse environments, much like Darwinian evolution. Jeff explains that for true innovation, a system must exist within a vast search space, allowing for the simulation of any computable environment. He proposes that a neural network itself could serve as the most general environment, capable of simulating anything imaginable.In this clip
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Machine Learning Street Talk (MLST)
Jeff Clune - Agent AI Needs Darwin
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