Who benefits from presenting a gating network as a simple “evolution” of basic venture prediction methods? It masks a fundamental return asymmetry and distinct investment strategies.
The dominant incentive is to frame advances as a linear progression, whereas in reality, gating networks do not replace basic methods; they seek a Nash equilibrium in how to coordinate them.
If basic methods, like LLMs or graph-based models, provide raw signals, gating is a coordination mechanism that decides the optimal weighting of these signals to maximize return.
For example, in German venture capital, where corporate governance is crucial, a gating network might systematically overweight structural attributes of companies over textual rationalizations, which is a strategic adaptation to local incentives rather than a simple evolution.