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.
[10] M. Roberts: “The Unreasonable Effectiveness of Quasirandom Sequences” (2018). ↑
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