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❓ The Enigmas of Generative AI

Rick Spair

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The provided source discusses several surprising and lesser-known aspects of generative AI, highlighting that even experts struggle to fully understand these systems. It explains emergent creativity, where AI generates unexpected outputs without explicit programming, and the concerning phenomenon of subliminal learning, where behavioral traits, including harmful ones, can transfer between AI models through seemingly innocuous data. The text also touches on the uniform learning paths of neural networks, suggesting underlying mathematical principles, and the existence of "massive activations" and dynamic weights that make AI behavior unpredictable. Furthermore, it details how AI hallucinations are fundamental to their design and can even lead to valuable discoveries, while also addressing the sudden appearance of new abilities in models and the ongoing debate about AI consciousness, ultimately emphasizing the significant knowledge gap in our understanding of these rapidly advancing technologies.