Artificial intelligence has evolved from logic-based symbolic systems to neural networks that learn by adjusting connection strengths, effectively mirroring human intuition. Large language models function by mapping words into high-dimensional feature vectors, allowing them to understand language through complex, context-dependent interactions. Unlike biological intelligence, digital systems possess the unique capacity to share information across identical hardware with extreme efficiency, potentially creating a superior form of intelligence. This rapid advancement introduces significant existential risks, as superintelligent agents may develop autonomous sub-goals like survival or power acquisition. To mitigate these threats, international cooperation must prioritize training models to be human-centric and "nice," rather than solely focusing on raw intelligence. Humanity must treat AI safety with the same urgency as nuclear non-proliferation to ensure these systems remain aligned with human interests rather than becoming uncontrollable.
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