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Invest in Quality Contextual Synthesis
The ability of systems to draw connections between text fragments remains limited despite expectations of significant advancements. Producing high-quality training data that enables deep synthesis-oriented reasoning is a challenging and costly endeavor, often requiring expertise equivalent to that of highly paid professionals. In contrast, simpler writing tasks can be generated more cheaply and easily. The effective operation of these systems often mirrors a conventional software engineering challenge, focusing on the integration of multiple inference calls and continuous evaluation of generative outputs, rather than relying solely on scaling context for powerful capabilities.