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3 videos across 3 channels

These videos explore how AI systems optimize the amount of information they can consider at once, from real-time HTML-to-markdown pipelines that cut token costs to vast context windows that keep long-running tasks coherent. They delve into practical methods for expanding and managing context through code, workflow configurations, and domain-specific benchmarks, highlighting trade-offs in cost, speed, accuracy, and governance. The discussion ties together tech tweaks, privacy controls, and strategic uses of large context to improve real-world performance.