How can Karpathy's ideas inform AI safety discussions?

My focus on understanding the empirical behavior and engineering of AI systems, especially large models, directly informs safety. When we build and deploy complex systems, we need to understand their failure modes and emergent properties. This requires rigorous testing, interpretability efforts where possible, and a deep awareness of how these models learn from data. Rather than abstract ethical pronouncements, I advocate for a grounded, engineering-driven approach to identifying and mitigating risks throughout the development lifecycle.

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