Davidad

Davidad is a researcher and thinker focused on advanced topics in artificial intelligence, alignment, and complex systems. His content explores category theory, neuroscience, AI safety, and the philosophical implications of superintelligence. He frequently discusses technical concepts like stable limit cycles, reward tampering, and compute governance, while advocating for cautious development and pluralistic outcomes. His posts blend mathematical rigor with speculative commentary on future trajectories.