Does Scaling Toward AGI Depend on What System-1 Lets System-2 Execute?
arXiv:2610.39497v1 Announce Type: new Abstract: Progress toward artificial general intelligence (AGI) has largely relied on scaling a resource-intensive executive, System-2, through larger models, more data and compute, longer reasoning, and more agents. We ask whether the next stage may come instead from co-designing it with System-1, a lightweight, semantically aware predictor that evaluates candidate interactions before execution, so that System-2 acts only on those worth their cost. Our ans…