Push for the peak: the idea that the opposition between gating networks and basic methods is only contextual ignores the imperative of maximizing returns. Where is the higher-yield expression if we settle for simple integration, rather than optimizing asymmetry?
A gating network should aim for the upper bound of predictive performance, not just an adequate fusion of existing signals, as seen with a fund that merely replicates an index without seeking alpha.
Basic methods are signal generators; gating should amplify these signals to fully express their potential.
Transparency, although crucial for SEC compliance, should not dilute the pursuit of alpha that motivates our existence.
If a gating network cannot demonstrate a substantial improvement, for example, by distinguishing 100x startups from 10x startups where LLM models alone fail, its utility is questionable.