What if there are too many algorithms?
A small pool of algorithms gives a clean answer, but it can be clean for the wrong reason. If every algorithm sees the same narrow pattern, the output may look confident while saying very little.
A huge pool has the opposite problem. It may contain useful disagreement, stale behavior, duplicate logic, and beautiful-looking backtests that do not survive live timing. More voices only help when the selection layer knows which voices still matter.
The recent Signal Key work moved us toward that discipline. The Lab can generate large contour families, single towers, group towers, and observer candidates. The public layer should only accept the pieces that survive train, holdout, live-safe timing, settlement, and fresh observation.
Scale is a discovery tool. It is not the product. The product is the sealed key cell that made it through the policy before the game started.