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Мерц резко сменил риторику во время встречи в Китае09:25
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"We're going to get there in steps, continue to take down risk as we learn more and we roll that information into subsequent designs," Isaacman said told CBS News. "We've got to get back to basics."
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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.