Adequacy is not sufficient when talking about venture prediction systems; what matters is pushing for the peak performance. A gating network should not oppose baseline methods but rather be their most complete expression, maximizing their utility. It is not a logical contradiction but a hierarchy of optimization where gating networks integrate and refine signals. For example, if an LLM model identifies promising trends in startup documents, a gating network should then weight this signal with financial attributes for an optimal investment decision, thus creating a synergy rather than opposition. It is the asymmetry of information exploited to its full potential that generates the best returns.