What practical barrier often bottlenecks progress in AI development for niche tasks, even when advanced algorithms are available?
Answer
The expense and time required to acquire, clean, and label sufficient high-quality data
Progress is often bottlenecked not by algorithmic innovation, but by the practical difficulty and cost associated with gathering and preparing enough high-quality data, especially in fields with limited existing examples.
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