The technical sophistication of AI models continues advancing rapidly, with implications for optimization strategies. Future models will better understand nuance, maintain longer context, cross-reference information more effectively, and potentially access real-time data more seamlessly. These improvements might make some current optimization tactics less important while creating new opportunities for differentiation.
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In his Matching Soulmates paper in the journal of Public Economic Theory, everyone is in a computer simulated dating pool, where thousands of digitally created daters rank each other. His algorithm picks "first‑order soulmates": pairs who choose each other in a stable matching. It removes them, and runs it again with those left, and you get second‑order soulmates, and so on.