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.
Web streams do provide clear mechanisms for tuning backpressure behavior in the form of the highWaterMark option and customizable size calculations, but these are just as easy to ignore as desiredSize, and many applications simply fail to pay attention to them.
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