Brad Zirulnik applies Generative AI to codifying novel ontologies for enhancing the rapidly evolving Human-Automatronic Jobs landscape. Leveler towers is a category-defining side project, experimental research product, training model algorithm, and global-agnostic communications protocol (GAP) that unites automation, intelligence, and agency to instantiate in silico automatronic jobs. It serves as a multimodal interface between human potential and machine execution, leveraging synthetic intelligence to mediate, augment, and autonomously instantiate work functions – securing the foundation for Universal Basic AI Jobs through co-evolutionary AI–human systems research and advancing human well-being through chromatic talent integers and relevance.
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