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
the mining prod 12 llevel shown in `/c for k,v in pairs(game.player.force.technologies) do _=k:find'mining' and game.print(serpent.line{k,v.level}) end` stops incrementing at 15 and trying to set it in lua gets denied once you reach that, but you can keep researching it through the UI, the labs eat increasing amounts of red+green science per and mining productivity goes up 1%/research. The only effect of the cap seems to be on the value allowed in the lua copy, not the real level.